Minnesota Wild at Colorado Avalanche, NHL forecast
Win probability
Starts from the pregame forecast, then moves with every score and the time left. Above the line favors COL; hover for each play.
Game center
From the ESPN box score.
Top performers
- Nick FolignoGoals2
- Nico SturmAssists2
- Nick FolignoPoints2
- Parker KellyGoals1
- Brent BurnsAssists2
- Brett KulakPoints2
Scoring summary
- OT3:52
Brett Kulak Goal (1) Snap Shot, assists: Martin Necas (10), Parker Kelly (1)3–4 - P318:37
Nathan MacKinnon Goal (7) Wrist Shot, assists: Martin Necas (9), Brent Burns (3)3–3 - P316:27
Jack Drury Goal (2) Tip-In, assists: Devon Toews (6), Nicolas Roy (3)3–2 - P211:00
Parker Kelly Goal (2) Tip-In, assists: Brent Burns (2), Brett Kulak (4)3–1 - P115:56
Nick Foligno Goal (2) Snap Shot, assists: Nico Sturm (4), Matt Boldy (6)3–0 - P111:03
Nick Foligno Goal (1) Tip-In, assists: Nico Sturm (3), Kirill Kaprizov (11)2–0 - P10:34
Marcus Johansson Goal (4) Snap Shot, assists: Matt Boldy (5), Quinn Hughes (11)1–0
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.
- P10:34
Marcus Johansson Goal (4) Snap Shot, assists: Matt Boldy (5), Quinn Hughes (11)MIN 1 – 0 COL · MIN 33% → 47% +14MIN 33% → 47%+14 pts - P111:03
Nick Foligno Goal (1) Tip-In, assists: Nico Sturm (3), Kirill Kaprizov (11)MIN 2 – 0 COL · MIN 50% → 66% +16MIN 50% → 66%+16 pts - P115:56
Nick Foligno Goal (2) Snap Shot, assists: Nico Sturm (4), Matt Boldy (6)MIN 3 – 0 COL · MIN 68% → 82% +13MIN 68% → 82%+13 pts - P318:37
Nathan MacKinnon Goal (7) Wrist Shot, assists: Martin Necas (9), Brent Burns (3)MIN 3 – 3 COL · COL <1% → 53% +52COL <1% → 53%+52 pts - OT3:52
Brett Kulak Goal (1) Snap Shot, assists: Martin Necas (10), Parker Kelly (1)MIN 3 – 4 COL · COL 52% → >99% +47COL 52% → >99%+47 pts
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Avalanche 67%
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
- COL 67%
- ML MIN +190 / COL -230
- Pre-line forecast
- COL 64%
- Elo + market-implied
- Elo ratings
- COL 63%
- Ratings vs. market
- −3.8 pts
- COL: Elo 63.1%, market 66.9%
- Fair odds
- COL -202
- MIN +202 · the forecast as odds, no margin
- Pregame projection
- MIN 2.8 – 3.7 COL
- Margin from the forecast, posted total 6.5
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 | MIN | COL | Why |
|---|---|---|---|
| Team rating | 1538 | 1603 | Elo entering the game; 1500 is league average |
| Home field | — | +35 | Worth 35 Elo in the NHL |
| Starting goalies | −3 | −11 | MIN: Jesper Wallstedt: team allows 0.08 more goals than with its usual starter (≈31 weighted starts) · COL: Mackenzie Blackwood: team allows 0.27 more goals than with its usual starter (≈47 weighted starts) |
| Elo ratings | COL +93 Elo | COL 63.1% | |
| Market-implied ratings | COL 64.7% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | COL 64.4% | 20% Elo, 80% market-implied (log-odds blend) | |
| Forecast | COL 66.9% | 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.
| MIN | Stat | |
|---|---|---|
| 11th of 323.3 | Goals scored | 3.71st of 32 |
| 4th of 322.9 | Goals allowed | 2.51st of 32 |
| 6th of 32+0.4 | Margin | +1.21st of 32 |
| 18th of 3249.8% | Shot share | 56.3%2nd of 32 |
| 2nd of 3290.8% | Save percentage | 91.4%1st of 32 |
| 8th of 326–4 | Last 10 | 7–32nd of 32 |
| 7th of 3223–18 | Road vs home | 26–153rd of 32 |
| 27th of 321496 | Opponent Elo | 149431st of 32 |
| 7th of 321538 | Elo rating | 16031st 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 | 45–47 | 47–43 |
| Last 10 | 4–6 | 7–3 |
| Favorite | 15–36 | 46–43 |
| Underdog | 30–11 | 1–0 |
| Overs–unders | 53–39 | 40–50 |
| Overs–unders, last 10 | 8–2 | 5–5 |
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
MIN 5–11 COL in their last 16 meetings; the forecast called 9 of 16.
- May 11
COL 5 @ MIN 2PlayoffsPicked COL 58%Hit - May 9
COL 1 @ MIN 5PlayoffsPicked COL 54%Miss - May 5
MIN 2 @ COL 5PlayoffsPicked COL 64%Hit - May 3
MIN 6 @ COL 9PlayoffsPicked COL 64%Hit - Mar 8
MIN 2 @ COL 3Picked COL 62%Hit - Feb 26
MIN 5 @ COL 2Picked COL 58%Miss - Dec 21
COL 5 @ MIN 1Picked COL 60%Hit - Nov 28
COL 2 @ MIN 3Picked COL 63%Miss



