Shane's Computer Solution Repository

McDonald NHL Power Ratings – November 30, 2025

Hey Shane, what’s this???

Welcome to this season’s first McDonald NHL Power Ratings report. I plan on putting out a report every Monday morning, but we’ll see how it goes. I’ve automated some of the report generation this season, so that speeds it up a bit, and it helps me to keep track of what’s going on around the league. I’ve been out of the country for the first bit of the season, so I haven’t generated a report yet, and I’ll be heading out again in January, but I’ll take the laptop along and try to keep it updated.

Anyways, how’s this work? I use a simple ELO Rating system; for those of you interested, I use a K-factor of 15, and I assign ratings for the teams at the start of the season based on their regular season performance the previous season, then update the ratings after every game. Using these ratings, I’m able to calculate an expected win probability for a game between two teams, giving the home team an advantage of 40 rating points. Then, I simulate the rest of the schedule using these probabilities, repeat 100,000 times, and keep track of various results. Based on these 100,000 simulated seasons, I calculate the chances of each team making the playoffs, winning their division, winning the President’s Trophy (top team in the league), and winning their playoff series, finishing with the Stanley Cup final.

My ELO ratings are based on an average rating of 1500; any team with a rating above 1500 is above average, and teams below 1500 are below average. When I calculate new ratings based on games, I count overtime and shootout results as ties, as the results of these games seem pretty much a coin flip. I also expect about 15% of games to end in overtime, and an additional 7.5% of games to end in shootouts. Historically, these numbers have been pretty accurate.

So much for the explanations. How’s things looking this week?

Well, the top-ranked team in the McDonald NHL Power Ratings is Colorado. They have had an absolutely amazing start to the season, only having lost one game in regulation time. They are currently sitting first in the Central Division, and I’ve given them a rating of 1614, up 7 points from last week, based on their 2-0-1 record this past week. In my simulations, they make the playoffs over 99% of the time, and they finish the season with the top record a whopping 56% of the time! Based on their season so far, I figure they’ve got the best chance of winning the Stanley Cup, having won it 16% of the time in my simulations.

Ranked number 2 this week is Dallas, moving up one ranking spot from last week. They went 4-0-0 this past week, garnering them an additional 25 rating points! They’re sitting 2nd in the Central Division, and I’m giving them a 96% chance of making the playoffs (up 12% from last week), and a 9% chance of winning the Stanley Cup.

Tampa Bay also had a great 4-0-0 week, and that resulted in them picking up another 24 rating points, moving them up into 3rd in the McDonald NHL Power Ratings. They’ve got an 8% chance of winning the Cup.

4th in the rankings is another 4-0-0 team, the Washington Capitals. They picked up 25 rating points, moving up from 7th in our rankings last week to 4th, despite currently only being in 3rd place in the Metropolitan Division.

Rounding out the top 5 is Vegas, who had a pretty bad week, going 1-2-1, with their only win coming against bottom-ranked San Jose. This dropped them from 2nd in last week’s rankings, and they are currently sitting 3rd in the Pacific Division.

The three big upward-movers this week were Dallas, Tampa Bay, and Washington. On the flip side, the worst performing team was Detroit. They lost all 4 of their games last week, one of those in a shootout, and as a result, lost 23 rating points and dropped down 11 spots in the rankings to 26th.

Anyways, here’s the rankings and ratings — enjoy! Changes shown are from last week’s report.

The top 5

1. Colorado Avalanche (1614, ▲7)

Record: 18-1-6, 1st in Central Division

Chances of:

Making the playoffs: >99% (▲1)
Winning the President’s Trophy: 56% (▲2)
Winning the Stanley Cup: 16% (▲1)

Last week: 2-0-1

November 26: Won 6-0 vs. San Jose Sharks (32nd, 1430)
November 28: Lost in SO 3-2 @ Minnesota Wild (10th, 1506)
November 29: Won 7-2 vs. Montreal Canadiens (10th, 1506)

Next week:

December 2: vs. Vancouver Canucks (30th, 1459)
December 4: @ New York Islanders (20th, 1487)
December 6: @ New York Rangers (17th, 1493)
December 7: @ Philadelphia Flyers (22nd, 1484)

2. Dallas Stars ▲1 (1574, ▲25)

Record: 17-5-4, 2nd in Central Division

Chances of:

Making the playoffs: 96% (▲12)
Winning the President’s Trophy: 15% (▲8)
Winning the Stanley Cup: 9% (▲3)

Last week: 4-0-0

November 25: Won 8-3 @ Edmonton Oilers (16th, 1494)
November 26: Won 3-2 @ Seattle Kraken (21st, 1485)
November 28: Won 4-3 vs. Utah Mammoth (19th, 1491)
November 30: Won 6-1 vs. Ottawa Senators (10th, 1506)

Next week:

December 2: @ New York Rangers (17th, 1493)
December 3: @ New Jersey Devils (14th, 1503)
December 5: vs. San Jose Sharks (32nd, 1430)
December 7: vs. Pittsburgh Penguins (10th, 1506)

3. Tampa Bay Lightning ▲1 (1564, ▲24)

Record: 16-7-2, 1st in Atlantic Division

Chances of:

Making the playoffs: 91% (▲15)
Winning the President’s Trophy: 8% (▲4)
Winning the Stanley Cup: 8% (▲2)

Last week: 4-0-0

November 24: Won 3-0 vs. Philadelphia Flyers (22nd, 1484)
November 26: Won 5-1 vs. Calgary Flames (22nd, 1484)
November 28: Won 6-3 @ Detroit Red Wings (26th, 1478)
November 29: Won 4-1 @ New York Rangers (17th, 1493)

Next week:

December 2: @ New York Islanders (20th, 1487)
December 4: vs. Pittsburgh Penguins (10th, 1506)
December 6: vs. New York Islanders (20th, 1487)

4. Washington Capitals ▲3 (1549, ▲25)

Record: 15-9-2, 3rd in Metropolitan Division

Chances of:

Making the playoffs: 78% (▲22)
Winning the President’s Trophy: 3% (▲2)
Winning the Stanley Cup: 6% (▲2)

Last week: 4-0-0

November 24: Won 5-1 vs. Columbus Blue Jackets (22nd, 1484)
November 26: Won 4-3 vs. Winnipeg Jets (8th, 1516)
November 28: Won 4-2 vs. Toronto Maple Leafs (18th, 1492)
November 30: Won 4-1 @ New York Islanders (20th, 1487)

Next week:

December 2: @ Los Angeles Kings (6th, 1535)
December 3: @ San Jose Sharks (32nd, 1430)
December 5: @ Anaheim Ducks (25th, 1481)
December 7: vs. Columbus Blue Jackets (22nd, 1484)

5. Vegas Golden Knights ▼3 (1547, ▼14)

Record: 11-6-8, 3rd in Pacific Division

Chances of:

Making the playoffs: 80% (▼6)
Winning the President’s Trophy: 2% (▼5)
Winning the Stanley Cup: 6% (▼2)

Last week: 1-2-1

November 24: Lost 5-1 @ Utah Mammoth (19th, 1491)
November 26: Lost in SO 4-3 vs. Ottawa Senators (10th, 1506)
November 28: Lost 4-1 vs. Montreal Canadiens (10th, 1506)
November 29: Won 4-3 vs. San Jose Sharks (32nd, 1430)

Next week:

December 2: vs. Chicago Blackhawks (27th, 1475)
December 5: @ New Jersey Devils (14th, 1503)
December 7: @ New York Rangers (17th, 1493)

Overall Ratings

 1       Colorado Avalanche            1614 (▲7)
 2       Dallas Stars (▲1)             1574 (▲25)
 3       Tampa Bay Lightning (▲1)      1564 (▲24)
 4       Washington Capitals (▲3)      1549 (▲25)
 5       Vegas Golden Knights (▼3)     1547 (▼14)
 6       Los Angeles Kings             1535 (▲3)
 7       Carolina Hurricanes (▼2)      1532 (▼5)
 8       Winnipeg Jets (▲1)            1516 (▼5)
 9       St. Louis Blues (▲6)          1509 (▲8)
10 (tie) Minnesota Wild (▲2)           1506 (▼1)
10 (tie) Montreal Canadiens (▲10)      1506 (▲13)
10 (tie) Ottawa Senators (▼2)          1506 (▼17)
10 (tie) Pittsburgh Penguins           1506 (▼3)
14       New Jersey Devils (▲4)        1503 (▲5)
15       Florida Panthers (▼5)         1498 (▼11)
16       Edmonton Oilers (▲5)          1494 (▲2)
17       New York Rangers (▲10)        1493 (▲17)
18       Toronto Maple Leafs (▲5)      1492 (▲4)
19       Utah Mammoth (▼6)             1491 (▼13)
20       New York Islanders (▼7)       1487 (▼17)
21       Seattle Kraken (▼6)           1485 (▼16)
22 (tie) Calgary Flames (▲3)           1484 (▲6)
22 (tie) Columbus Blue Jackets         1484 (▼7)
22 (tie) Philadelphia Flyers (▲6)      1484 (▲14)
25       Anaheim Ducks (▼6)            1481 (▼16)
26       Detroit Red Wings (▼11)       1478 (▼23)
27       Chicago Blackhawks (▼1)       1475 (▼2)
28       Buffalo Sabres (▼4)           1471 (▼12)
29       Boston Bruins                 1467
30       Vancouver Canucks             1459 (▲5)
31       Nashville Predators (▲1)      1433 (▲5)
32       San Jose Sharks (▼1)          1430 (▼1)

Chances of Winning Division

Metropolitan Division

 1       Carolina Hurricanes           30% (▼5)
 2       Washington Capitals (▲3)      24% (▲13)
 3       New Jersey Devils (▼1)        16% (▲2)
 4       Pittsburgh Penguins           10% (▼2)
 5       Philadelphia Flyers (▲2)      9% (▲3)
 6 (tie) Columbus Blue Jackets         4% (▼3)
 6 (tie) New York Islanders (▼3)       4% (▼9)
 8       New York Rangers              3% (▲1)

Atlantic Division

 1       Tampa Bay Lightning           58% (▲27)
 2       Montreal Canadiens (▲2)       14% (▲3)
 3       Ottawa Senators (▼1)          9% (▼12)
 4       Florida Panthers              5% (▼6)
 5 (tie) Boston Bruins (▲1)            4% (▼1)
 5 (tie) Detroit Red Wings (▼2)        4% (▼10)
 5 (tie) Toronto Maple Leafs (▲3)      4% (▲1)
 8       Buffalo Sabres (▼1)           2% (▼2)

Central Division

 1       Colorado Avalanche            73% (▼2)
 2       Dallas Stars                  22% (▲9)
 3       Minnesota Wild (▲1)           2% (▼1)
 4 (tie) Utah Mammoth (▲1)             1% (▼1)
 4 (tie) Winnipeg Jets (▼1)            1% (▼3)
 6 (tie) Chicago Blackhawks            <1% (▼1)
 6 (tie) Nashville Predators (▲2)      <1%
 6 (tie) St. Louis Blues               <1% (▼1)

Pacific Division

 1 (tie) Los Angeles Kings (▲1)        32% (▲12)
 1 (tie) Vegas Golden Knights          32% (▼7)
 3       Anaheim Ducks                 13% (▼5)
 4       Seattle Kraken                10% (▼4)
 5       Edmonton Oilers               8% (▲2)
 6       Calgary Flames                2% (▲1)
 7 (tie) San Jose Sharks (▼1)          1%
 7 (tie) Vancouver Canucks (▼1)        1%

Making the Playoffs

Metropolitan Division

 1       Carolina Hurricanes           81% (▼1)
 2       Washington Capitals (▲2)      78% (▲22)
 3       New Jersey Devils (▼1)        68% (▲7)
 4       Pittsburgh Penguins (▲1)      55%
 5       Philadelphia Flyers (▲2)      51% (▲13)
 6       New York Islanders (▼3)       39% (▼20)
 7 (tie) Columbus Blue Jackets (▼1)    34% (▼9)
 7 (tie) New York Rangers (▲1)         34% (▲10)

Atlantic Division

 1       Tampa Bay Lightning           91% (▲15)
 2       Montreal Canadiens (▲2)       60% (▲11)
 3       Ottawa Senators (▼1)          51% (▼15)
 4       Florida Panthers              39% (▼10)
 5       Boston Bruins (▲1)            34% (▲2)
 6       Detroit Red Wings (▼3)        32% (▼24)
 7       Toronto Maple Leafs (▲1)      31% (▲5)
 8       Buffalo Sabres (▼1)           21% (▼8)

Central Division

 1       Colorado Avalanche            >99% (▲1)
 2       Dallas Stars                  96% (▲12)
 3       Minnesota Wild (▲1)           66% (▲8)
 4       Winnipeg Jets (▼1)            54% (▼5)
 5       Utah Mammoth                  41% (▼12)
 6       St. Louis Blues (▲1)          36% (▲6)
 7       Chicago Blackhawks (▼1)       34% (▼2)
 8       Nashville Predators           6% (▲1)

Pacific Division

 1 (tie) Los Angeles Kings (▲1)        80% (▲9)
 1 (tie) Vegas Golden Knights          80% (▼6)
 3       Anaheim Ducks                 59% (▼9)
 4       Seattle Kraken                50% (▼13)
 5       Edmonton Oilers               46% (▲4)
 6 (tie) Calgary Flames (▲1)           18% (▲3)
 6 (tie) San Jose Sharks               18% (▼1)
 8       Vancouver Canucks             17% (▲3)

Winning the President’s Trophy

 1       Colorado Avalanche            56% (▲2)
 2       Dallas Stars                  15% (▲8)
 3       Tampa Bay Lightning (▲2)      8% (▲4)
 4       Carolina Hurricanes           4% (▼2)
 5       Washington Capitals (▲6)      3% (▲2)
 6 (tie) Los Angeles Kings             2%
 6 (tie) New Jersey Devils             2%
 6 (tie) Vegas Golden Knights (▼4)     2% (▼5)
 9 (tie) Anaheim Ducks (▼3)            1% (▼1)
 9 (tie) Minnesota Wild (▲2)           1%
 9 (tie) Montreal Canadiens (▲2)       1%
 9 (tie) Philadelphia Flyers (▲12)     1% (▲1)
 9 (tie) Pittsburgh Penguins (▲2)      1%
 9 (tie) Winnipeg Jets (▲2)            1%

Everyone else has less than a 1% chance of winning the President’s Trophy.

Winning the Stanley Cup

 1       Colorado Avalanche            16% (▲1)
 2       Dallas Stars (▲1)             9% (▲3)
 3       Tampa Bay Lightning           8% (▲2)
 4 (tie) Vegas Golden Knights (▼2)     6% (▼2)
 4 (tie) Washington Capitals (▲2)      6% (▲2)
 6 (tie) Carolina Hurricanes (▼3)      5% (▼1)
 6 (tie) Los Angeles Kings             5% (▲1)
 8 (tie) Minnesota Wild (▲1)           3%
 8 (tie) Montreal Canadiens (▲11)      3% (▲1)
 8 (tie) New Jersey Devils (▲1)        3%
 8 (tie) Ottawa Senators (▼2)          3% (▼1)
 8 (tie) Pittsburgh Penguins (▲1)      3%
 8 (tie) Winnipeg Jets (▲1)            3%
14 (tie) Anaheim Ducks (▼5)            2% (▼1)
14 (tie) Edmonton Oilers (▲5)          2%
14 (tie) Florida Panthers (▼5)         2% (▼1)
14 (tie) New York Islanders (▼5)       2% (▼1)
14 (tie) New York Rangers (▲12)        2% (▲1)
14 (tie) Philadelphia Flyers (▲5)      2%
14 (tie) Seattle Kraken (▼5)           2% (▼1)
14 (tie) St. Louis Blues (▲5)          2%
14 (tie) Toronto Maple Leafs (▲5)      2%
14 (tie) Utah Mammoth (▼5)             2% (▼1)
24 (tie) Boston Bruins (▲2)            1%
24 (tie) Buffalo Sabres (▼5)           1% (▼1)
24 (tie) Calgary Flames (▲2)           1%
24 (tie) Chicago Blackhawks (▲2)       1%
24 (tie) Columbus Blue Jackets (▼5)    1% (▼1)
24 (tie) Detroit Red Wings (▼15)       1% (▼2)
24 (tie) Vancouver Canucks (▲2)        1%
31 (tie) Nashville Predators           <1%
31 (tie) San Jose Sharks               <1%

2025/26 NHL schedule and results in Excel .xlsx and csv formats

Note: Schedule last updated March 6, 2026.

Here’s a copy of the 2025/26 NHL schedule and the results of each of the games played so far in Excel .xlsx format, and here’s another copy in CSV format. Of course, the season hasn’t started yet, so the results are empty right now, but I’ll try to update them each morning through the regular season.

The Excel file consists of 2 worksheets: one contains the original NHL schedule as described in this post; the other, named As-Played Schedule, contains the same contents, with the addition of the scores for each team and whether the game hasn’t been played yet, was won in regulation time, overtime, or in a shootout, and the name of the starting goalies for each team. Here’s a quick summary of the columns:

Date: the date of the game
Start Time (Sask): the game’s start time in Saskatchewan (where I live!)
Start Time (ET): the game’s start time in Eastern time (which is the time the NHL website shows)
Visitor: the name of the visiting team
Score: the visiting team’s score if the game has been played, otherwise blank
Home: the name of the home team
Score: the home team’s score if the game has been played, otherwise blank
Status: one of the following:
- Scheduled: if the game hasn’t been played yet
- Postponed: if the game has been postponed, but not yet rescheduled
- Regulation: if the game ended in regulation time
- OT: if the game ended in overtime
- SO: if the game ended in a shootout
Visitor Goalie: the starting goalie of the visiting team
Home Goalie: the starting goalie of the home team

For example, here’s the first couple lines of the worksheet from a previous year’s file:

In this example, the game was played on December 31, 1975 at 6:00 PM in Saskatchewan and 7:00 PM Eastern time, the visiting team Central Red Army and the home team Montreal played to a 3-3 tie in regulation time, the starting goalie for the visitors was Vladislav Tretiak, and the starting goalie for the home team was Ken Dryden.

Just a brief explanation why I’ve got two time fields in here. Saskatchewan doesn’t observe Daylight Savings time, so for part of the schedule, we have a one-hour time difference from Eastern time, and for the rest of the schedule, we have a two-hour time difference. Of course, I’m more interested in the time in Saskatchewan, but to make it easier for other people to use, I’ve also included Eastern time.

In addition to the columns shown in the example, there are also a number of fields related to historical betting information. As odds change right up to game time, these fields are only filled in after the game has ended. The odds are a concensus of a number of betting sites available to me. These fields are:

O/U: the number of goals for the Over/Under bet
Over: the odds that the Over bet pays
Under: the odds that the Under bet pays
Away ML: the odds that the Money Line bet on the Away team pays
Home ML: the odds that the Money Line bet on the Home team pays
Home PL Spread: the spread for the home team on the Puck Line bet
PL Away: the odds that the Puck Line bet on the Away team pays
PL Home: the odds that the Puck Line bet on the Home team pays

I’ve also added some formatting to the odds fields. If the bet would have paid off, the odds are in green; if the bet would have lost, the odds are in red; if the bet would have been a push, the odds are black.

The CSV file contains only the As-Played worksheet. It has the same fields as described for the Excel file. You can easily import this file into Excel or whatever spreadsheet of your choice!

2025 MLB betting odds and results in Excel .xlsx format

Note: Spreadsheet last updated September 29, 2025. The regular season is over, so I won’t be updating the spreadsheet anymore.

By request, I’ve created a spreadsheet showing the betting odds for the 2025 MLB season. It’s in Excel .xlsx format. It shows the concensus betting odds for all the games that have been played so far this year, as well as the odds for today’s games. As today’s odds can change as game time approaches, the odds are those that I find when I update the spreadsheet in the morning, usually sometime between 6 and 8 a.m. Saskatoon time (UTC+6), although it may be earlier or later. The spreadsheet also shows the remaining games in the season.

The Excel file contains 2 worksheets: one that gives the betting odds, and one that explains what’s in that other worksheet. Here’s a quick summary of what’s in the columns of the betting odds worksheet:

Date: the date of the game
Start Time (EDT): the game’s start time in the Eastern Daylight Time Zone
Away: the name of the away team
Away Score: the away team’s score if the game has been played, otherwise this field is empty
Home: the name of the home team
Home Score: the home team’s score if the game has been played, otherwise this field is empty
Status: one of two values:
- Scheduled: if the game hasn’t been played yet
- Final: if the game is over
Away Starter: the probable starter of the away team if the game status is “Scheduled”, or the actual starter if the game status is “Final”
Home Starter: the probable starter of the home team if the game status is “Scheduled”, or the actual starter if the game status is “Final”
O/U: the number of runs for an over/under bet
Over: the odds that the Over bet pays, in American odds (AKA moneyline odds) format
Under: the odds that the Under bet pays
Away ML: the odds that the Moneyline bet on the Away team pays
Home ML: the odds that the Moneyline bet on the Home team pays
Home RL Spread: the spread for the Home team on the Run Line bet
RL Away: the odds that the Run Line bet on the Away team pays
RL Home: the odds that the Run Line bet on the Home team pays

I’m not a bettor, so I’m definitely not the guy to ask to explain these different bets, but I’ll give an example from one line of the spreadsheet:

There are quite a few columns in the spreadsheet, so you probably will have to click on the image to see it enlarged.

In this example, the game was played on June 30, 2025, and started at 6:35 PM Eastern Daylight Time, with the San Diego Padres playing against the Philadelphia Phillies in Philadelphia. The final score was 4-0 for the Phillies. Matt Waldron started the game for the Padres, and Zack Wheeler was the Phillies’ starter.

The number of runs for the Over/Under bet was 9. The odds for the Over bet was +105, meaning that if you bet $100, and the combined score of the two teams was over 9, you’d win $105. The odds for the Under bet was -125, meaning if you bet $125 and the combined score of the two teams was under 9, you’d win $100. In this game, the two teams scored a total of 4 runs (0 for the Padres, 4 for the Phillies), so you’d lose the Over bet, but the Under bet would pay off. If the total score was exactly 9, that would be a “push”, and neither bet would pay off. Notice that I’ve got the odds colour-coded; if the bet would have paid off, the odds are shown in green; if the bet wouldn’t have paid off, the odds are shown in red; and if the bet was a push, the odds are in black.

The Moneyline bet is just a straight bet on who’s going to win the game. In the example, the odds for the Away Moneyline bet, meaning you’re betting that the Padres, the Away team, were going to win, was +210. That means that if you bet $100 that the Padres would win, the bet would pay $210. The odds for the Home Moneyline bet, meaning you’re betting that the Phillies would win, was -260; you’d have to bet $260 to win $100 on that bet. Because the Phillies won, only the Home Moneyline bet would have paid off.

The Run Line bet is a point spread bet. There’s a point spread for the home team, and a spread for the away team. I only show the spread for the home team. In the example, the Home Run Line spread is -1.5, meaning that the Phillies need to win by 2 or more runs (because you can’t have a half-run!) for the bet to pay off. I don’t show the Away Run Line spread, because it’s just the opposite of the Home Run Line spread. In this example, because the Home Run Line spread is -1.5, the Away Run Line spread is +1.5, meaning that if the Padres lose by 1 run, or win the game, the Away Run Line bet pays off.

For the Run Line bets in the example, the odds for the Away Run Line bet were +110, meaning that if you bet $100 and the Padres won or lost by 1 run, you’d have won $110. The Home Run Line bet odds were -130, meaning that if you bet $130 and the Phillies won by 2 or more runs, you’d win $100. In that game, the Phillies won by 4 runs, so they covered the spread, and so the Home Run Line bet paid off, but the Away Run Line bet didn’t.

Be aware that the odds shown aren’t necessarily from any one betting site; I take a look at the odds from various sites available to me and pick what looks like a typical payoff, and record that. But, that should be good enough for most purposes.

Happy betting!

2025 MLB schedule and results in Excel .xlsx and csv format

Note: Schedule last updated September 29, 2025. The regular season is over, so I won’t be updating the spreadsheet anymore.

Here’s a copy of the 2025 MLB schedule and the results of each of the games played so far in Excel .xlsx format, and here’s another copy in CSV format. I’ll try to update it each morning through the regular season.

If you’re looking for a copy of the 2024 schedule and results, it’s available in this post.

The Excel file consists of 2 worksheets: one contains the original MLB schedule as described in this post; the other, named As-Played Schedule, contains the same contents, with the addition of the scores for each team and whether the game hasn’t been played yet, the starting pitchers for each team, and the pitchers credited with the win, loss, and save. Here’s a quick summary of the columns:

Date: the date of the game
Start Time (Sask): the game’s start time in Saskatchewan (where I live!)
Start Time (ET): the game’s start time in the Eastern Daylight Time Zone
Away: the name of the away team
Away Score: the away team’s score if the game has been played, otherwise this field is empty
Home: the name of the home team
Home Score: the home team’s score if the game has been played, otherwise this field is empty
Status: one of two values:
- Scheduled: if the game hasn’t been played yet
- Final: if the game is over
Away Starter: the probable starter of the away team if the game status is “Scheduled”, or the actual starter if the game status is “Final”
Home Starter: the probable starter of the home team if the game status is “Scheduled”, or the actual starter if the game status is “Final”
Winner: the name of the pitcher who got the win if the game has been played, otherwise this field is empty
Loser: the name of the pitcher who got the loss if the game has been played, otherwise this field is empty
Save: the name of the pitcher who got the save if the game has been played and a save was credited, otherwise this field is empty

For example, here’s three example lines of the worksheet:

In the first game in this example, the game was played on April 9, 2024, with the Washington Nationals playing against the San Francisco Giants, in San Francisco. The game has been completed, and Washington won 5-3. Joan Adon started the game for the Nationals, and Kyle Harrison started for the Giants. Jordan Weems was credited with the win, Ryan Walker was charged with the loss, and Kyle Finnegan earned the save.

The second game in the example is similar, but in the game, no save was awarded, so the Save field is left empty.

The third game is a game that hasn’t been played yet. In it, it is scheduled to be played on April 10, 2024, with the Dodgers playing the Twins, with the first pitch scheduled for 1:10 PM Eastern. Bobby Miller has been announced as the starter for Dodgers, and Chris Paddack is expected to start for the Twins. The score columns and the Win / Loss / Save columns are all blank, because the game hasn’t been played yet.

The CSV file contains only the As-Played worksheet. It has the same fields as described for the Excel file. You can easily import this file into Excel or whatever spreadsheet of your choice!

2025 MLB schedule in Excel .xlsx and csv formats

Here’s a copy of the 2025 MLB schedule in Excel .xlsx format, and here’s another copy in CSV format. If you want a copy of the results as well, you can find an Excel sheet containing the schedule AND results as described in this post. If you’re looking for a 2024 schedule, you can find it in this post, and a 2024 schedule with results is in this post.

The Excel file consists of 2 worksheets: one called “Original Schedule” contains the original MLB schedule before any schedule changes due to rainouts, etc.; the other, named About, describes the contents of the Excel file. Here’s a quick summary of the columns:

Date: the date of the game, in the format YYYY-MM-DD
Start Time (Sask): the game’s start time in Saskatchewan (where I live!)
Start Time (EDT): the start time of the game in the Eastern Daylight Time Zone
Away: the name of the away team
Home: the name of the home team

For example, here’s the first couple lines of the worksheet:

In this example, the game is scheduled to be played on March 20, 2024 at 4:05 AM in Saskatchewan and 6:05 PM Eastern Daylight time, the away team is the Los Angeles Dodgers, and the home team is the San Diego Padres.

The CSV file contains only the “Original Schedule” worksheet. It has the same fields as described for the Excel file. You can easily import this file into Excel or whatever spreadsheet of your choice!

2024/25 NHL schedule and results in Excel .xlsx and csv formats

Note: Schedule last updated April 18, 2025 (end of regular season).

Here’s a copy of the 2024/25 NHL schedule and the results of each of the games played so far in Excel .xlsx format, and here’s another copy in CSV format. Of course, the season hasn’t started yet, so the results are empty right now, but I’ll try to update them each morning through the regular season.

Date: the date of the game
Start Time (Sask): the game’s start time in Saskatchewan (where I live!)
Start Time (ET): the game’s start time in Eastern time (which is the time the NHL website shows)
Visitor: the name of the visiting team
Score: the visiting team’s score if the game has been played, otherwise blank
Home: the name of the home team
Score: the home team’s score if the game has been played, otherwise blank
Status: one of the following:
- Scheduled: if the game hasn’t been played yet
- Postponed: if the game has been postponed, but not yet rescheduled
- Regulation: if the game ended in regulation time
- OT: if the game ended in overtime
- SO: if the game ended in a shootout

For example, here’s the first couple lines of the worksheet from a previous year’s file:

In this example, the game was played on January 13, 2021 at 4:30 PM in Saskatchewan and 5:30 PM Eastern time, the home team Philadelphia beat the visiting team Pittsburgh 6-3 in regulation time

The CSV file contains only the As-Played worksheet. It has the same fields as described for the Excel file. You can easily import this file into Excel or whatever spreadsheet of your choice!

2024 MLB schedule and results in Excel .xlsx format

This post describes the 2024 schedule. If you’re looking for the 2025 schedule, you want either this post which contains the original 2025 schedule, or this post which contains the 2025 schedule with results.

Note: Schedule last updated October 1, 2024. The schedule is now complete.

Here’s a copy of the 2024 MLB schedule and the results of each of the games played so far in Excel .xlsx format. I’ll try to update it each morning through the regular season.

Date: the date of the game
Start Time (Sask): the game’s start time in Saskatchewan (where I live!)
Start Time (ET): the game’s start time in the Eastern Daylight Time Zone
Away: the name of the away team
Away Score: the away team’s score if the game has been played, otherwise this field is empty
Home: the name of the home team
Home Score: the home team’s score if the game has been played, otherwise this field is empty
Status: one of two values:
- Scheduled: if the game hasn’t been played yet
- Final: if the game is over
Away Starter: the probable starter of the away team if the game status is “Scheduled”, or the actual starter if the game status is “Final”
Home Starter: the probable starter of the home team if the game status is “Scheduled”, or the actual starter if the game status is “Final”
Winner: the name of the pitcher who got the win if the game has been played, otherwise this field is empty
Loser: the name of the pitcher who got the loss if the game has been played, otherwise this field is empty
Save: the name of the pitcher who got the save if the game has been played and a save was credited, otherwise this field is empty

For example, here’s three example lines of the worksheet:

The second game in the example is similar, but in the game, no save was awarded, so the Save field is left empty.

2024 MLB schedule in Excel .xlsx and csv formats

Here’s a copy of the 2024 MLB schedule in Excel .xlsx format, and here’s another copy in CSV format. If you want a copy of the results as well, you can find an Excel sheet containing the schedule AND results as described in this post.

Date: the date of the game, in the format YYYY-MM-DD
Start Time (Sask): the game’s start time in Saskatchewan (where I live!)
Start Time (EDT): the start time of the game in the Eastern Daylight Time Zone
Away: the name of the away team
Home: the name of the home team

For example, here’s the first couple lines of the worksheet:

NHL 2022-23 Playoff Schedule and Results spreadsheet in Excel and CSV formats

Note: Last updated August 23, 2023 — contains complete playoff results.

I have updated my NHL schedule spreadsheet to include the playoff schedule. I’ve made it available in both Excel and CSV formats. It’s the same as the NHL schedule spreadsheet described in this post, with the addition of an additional worksheet containing the playoff schedule. Due to limitations of the CSV format, the CSV file only contains the playoff worksheet.

You can find the Excel spreadsheet here, and the CSV file here.

The new worksheet is called “Playoff Schedule”, and it looks like this:

Screenshot of Playoff Schedule worksheet

Most of the columns in the worksheet are the same as in the original worksheet, with two new ones. The Series column gives the name of the series, such as “East: A1 / WC2” for the series in the Eastern Conference between the top-seed in the Atlantic Division and the 2nd Eastern Conference Wildcard team. The Game # column lists which game in the series (1st game, 2nd game, etc.) this game is. There are a couple of other changes. In the time columns, if the game time hasn’t been determined yet, it’s listed as TBD. And, in the Status column, games in the playoffs can’t end in a shootout, so there’s no chance of an SO showing up in that column, and if a game ends in the first overtime period, it’s indicated as OT, if it’s in the second overtime period, 2OT, third is 3OT, etc. As with my regular season spreadsheet, I’ll try to keep this up-to-date every day.

2023/24 NHL schedule and results in Excel .xlsx and csv formats

If you’re looking for the 2024/25 schedule, you can find it here!

Note: Schedule last updated April 19, 2024 (end of regular season).

Here’s a copy of the 2023/24 NHL schedule and the results of each of the games played so far in Excel .xlsx format, and here’s another copy in CSV format. Of course, the season hasn’t started yet, so the results are empty right now, but I’ll try to update them each morning through the regular season.

Date: the date of the game
Start Time (Sask): the game’s start time in Saskatchewan (where I live!)
Start Time (ET): the game’s start time in Eastern time (which is the time the NHL website shows)
Visitor: the name of the visiting team
Score: the visiting team’s score if the game has been played, otherwise blank
Home: the name of the home team
Score: the home team’s score if the game has been played, otherwise blank
Status: one of the following:
- Scheduled: if the game hasn’t been played yet
- Postponed: if the game has been postponed, but not yet rescheduled
- Regulation: if the game ended in regulation time
- OT: if the game ended in overtime
- SO: if the game ended in a shootout

For example, here’s the first couple lines of the worksheet from a previous year’s file:

In this example, the game was played on January 13, 2021 at 4:30 PM in Saskatchewan and 5:30 PM Eastern time, the home team Philadelphia beat the visiting team Pittsburgh 6-3 in regulation time

The CSV file contains only the As-Played worksheet. It has the same fields as described for the Excel file. You can easily import this file into Excel or whatever spreadsheet of your choice!