Montreal Canadiens at Carolina Hurricanes, NHL forecast
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Win probability
Starts from the pregame forecast, then moves with every score and the time left. Above the line favors CAR; hover for each play.
Game center
From the ESPN box score.
Top performers
- Cole CaufieldGoals1
- Lane HutsonAssists1
- Cole CaufieldPoints1
- Taylor HallGoals1
- Taylor HallAssists2
- Taylor HallPoints3
Scoring summary
- P316:19
Seth Jarvis Goal (3) Snap Shot, assists: Sebastian Aho (3), Andrei Svechnikov (4)1–6 - P310:50
Cole Caufield Goal (6) Wrist Shot, assists: Lane Hutson (13)1–5 - P218:02
Shayne Gostisbehere Goal (2) Wrist Shot, assists: Seth Jarvis (5), Nikolaj Ehlers (5)0–5 - P27:19
Jackson Blake Goal (5) Snap Shot, assists: Taylor Hall (11), Logan Stankoven (3)0–4 - P116:52
Eric Robinson Goal (3) Snap Shot, assists: William Carrier (3)0–3 - P115:12
Logan Stankoven Goal (9) Snap Shot, assists: Taylor Hall (10), Alexander Nikishin (1)0–2 - P19:17
Taylor Hall Goal (5) Snap Shot, assists: Logan Stankoven (2), Jackson Blake (10)0–1
Turning points
The 5 plays that swung the win chance most, each judged at its own moment: the chance with the score just before it against just after.
- P19:17
Taylor Hall Goal (5) Snap Shot, assists: Logan Stankoven (2), Jackson Blake (10)MTL 0 – 1 CAR · CAR 68% → 81% +13CAR 68% → 81%+13 pts - P115:12
Logan Stankoven Goal (9) Snap Shot, assists: Taylor Hall (10), Alexander Nikishin (1)MTL 0 – 2 CAR · CAR 81% → 90% +9CAR 81% → 90%+9 pts - P116:52
Eric Robinson Goal (3) Snap Shot, assists: William Carrier (3)MTL 0 – 3 CAR · CAR 90% → 96% +6CAR 90% → 96%+6 pts - P27:19
Jackson Blake Goal (5) Snap Shot, assists: Taylor Hall (11), Logan Stankoven (3)MTL 0 – 4 CAR · CAR 97% → >99% +2CAR 97% → >99%+2 pts - P218:02
Shayne Gostisbehere Goal (2) Wrist Shot, assists: Seth Jarvis (5), Nikolaj Ehlers (5)MTL 0 – 5 CAR · CAR >99% → >99% +0CAR >99% → >99%+0 pts
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Hurricanes 70%
Forecast Elo ratings alone
How often that comes true: NHL favorites the forecast gave 65–70% have won 67.6% of 306 graded games.
- Market
- CAR 70%
- ML MTL +215 / CAR -265
- Pre-line forecast
- CAR 66%
- Elo + market-implied
- Elo ratings
- CAR 64%
- Ratings vs. market
- −5.9 pts
- CAR: Elo 63.7%, market 69.6%
- Fair odds
- CAR -229
- MTL +229 · the forecast as odds, no margin
- Pregame projection
- MTL 2.2 – 3.3 CAR
- Margin from the forecast, posted total 5.5
How the number is built
Elo inputs in rating points (higher favors that team; 25–28 Elo is about a point of spread in football and basketball), then how the pieces combine.
| Factor | MTL | CAR | Why |
|---|---|---|---|
| Team rating | 1542 | 1599 | Elo entering the game; 1500 is league average |
| Home field | — | +35 | Worth 35 Elo in the NHL |
| Starting goalies | −1 | +4 | MTL: Jakub Dobes: team allows 0.02 more goals than with its usual starter (≈39 weighted starts) · CAR: Frederik Andersen: team allows 0.11 fewer goals than with its usual starter (≈44 weighted starts) |
| Elo ratings | CAR +98 Elo | CAR 63.7% | |
| Market-implied ratings | CAR 66.5% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | CAR 65.9% | 20% Elo, 80% market-implied (log-odds blend) | |
| Forecast | CAR 69.6% | Follows the market (vig removed): in testing, adding the ratings made it less accurate | |
Tale of the tape
This season coming into the game, regular season, each number with its league rank (the longer the bar, the higher). Home and road: the host's record at home against the visitor's on the road. Overtime and shootout losses count as losses in these records. Opponent Elo: how strong the teams each has played are, 1st the toughest. Shot share is a team's share of the shots on goal in its games. PDO adds shooting and save percentages: far from 100 tends to even out.
| MTL | Stat | |
|---|---|---|
| 6th of 323.5 | Goals scored | 3.62nd of 32 |
| 18th of 323.1 | Goals allowed | 2.94th of 32 |
| 9th of 32+0.3 | Margin | +0.73rd of 32 |
| 22nd of 3248.6% | Shot share | 57.3%1st of 32 |
| 18th of 3289.5% | Save percentage | 88.6%26th of 32 |
| 2nd of 327–3 | Last 10 | 7–32nd of 32 |
| 2nd of 3224–17 | Road vs home | 29–121st of 32 |
| 11th of 321502 | Opponent Elo | 149920th of 32 |
| 7th of 321542 | Elo rating | 15991st of 32 |
Rating history
Each team's Elo over the last two seasons. Hover or drag to compare on any date.
Recent form
Last five results, and whether the forecast hit.
Against the line
How each team has done against the closing spread and total, coming into this game.
| This season | ||
|---|---|---|
| Puck line | 58–42 | 39–55 |
| Last 10 | 7–3 | 5–5 |
| Favorite | 11–36 | 32–53 |
| Underdog | 47–6 | 7–2 |
| Overs–unders | 53–47 | 47–47 |
| Overs–unders, last 10 | 5–5 | 2–8 |
Against each game's closing line. Books set every line knowing these records: across 3,901 past games, the team with the better record against the spread so far that season covered 51.2%, short of the 52.4% a standard −110 bet needs, and over/under streaks held 48.0% of the time. They describe the past.
Head to head
MTL 6–7 CAR in their last 13 meetings; the forecast called 7 of 13.
- May 27
CAR 4 @ MTL 0PlayoffsPicked CAR 57%Hit - May 25
CAR 3 @ MTL 2PlayoffsPicked CAR 58%Hit - May 23
MTL 2 @ CAR 3PlayoffsPicked CAR 64%Hit - May 21
MTL 6 @ CAR 2PlayoffsPicked CAR 66%Miss - Mar 29
MTL 3 @ CAR 1Picked CAR 61%Miss - Mar 24
CAR 2 @ MTL 5Picked CAR 53%Miss - Jan 1
MTL 7 @ CAR 5Picked CAR 60%Miss - Apr 16
CAR 2 @ MTL 4Picked MTL 58%Hit



