Oklahoma City Thunder at Minnesota Timberwolves, NBA 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 MIN; hover for each play.
Game center
From the ESPN box score.
Top performers
- Shai Gilgeous-AlexanderPoints14
- Shai Gilgeous-AlexanderAssists6
- Isaiah HartensteinRebounds6
- Anthony EdwardsPoints30
- Anthony EdwardsAssists6
- Anthony EdwardsRebounds9
Last plays
- Q40.0End of Game101–143
- Q40.0End of the 4th Quarter101–143
- Q418.1
Jaylen Clark defensive rebound101–143 - Q421.1
Jaylin Williams misses 26-foot three point jumper101–143 - Q433.2
Leonard Miller makes driving layup101–143 - Q440.2
Dillon Jones makes 25-foot three point jumper (Kenrich Williams assists)101–141 - Q452.0
Luka Garza makes 11-foot two point shot98–141 - Q41:09
Ousmane Dieng makes 25-foot three pointer98–139 - Q41:23
Leonard Miller makes two point shot95–139 - Q41:23
Leonard Miller offensive rebound95–137
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.
- Q18:34
Chet Holmgren makes 24-foot three point jumper (Shai Gilgeous-Alexander assists)OKC 7 – 8 MIN · OKC 49% → 55% +6OKC 49% → 55%+6 pts - Q17:39
Anthony Edwards makes 24-foot three point jumper (Mike Conley assists)OKC 7 – 11 MIN · MIN 45% → 52% +7MIN 45% → 52%+7 pts - Q16:10
Anthony Edwards makes 25-foot three pointerOKC 9 – 16 MIN · MIN 52% → 58% +7MIN 52% → 58%+7 pts - Q15:12
Donte DiVincenzo makes 22-foot three point jumper (Julius Randle assists)OKC 9 – 21 MIN · MIN 63% → 69% +6MIN 63% → 69%+6 pts - Q13:53
Naz Reid makes 26-foot three point jumper (Anthony Edwards assists)OKC 9 – 24 MIN · MIN 70% → 75% +6MIN 70% → 75%+6 pts
The pick
Reconstructed from what was known before the game: the ratings at that point and the closing line.
Thunder 57%
Forecast Elo ratings alone
How often that comes true: NBA favorites the forecast gave 55–60% have won 59.4% of 433 graded games.
- Market
- OKC -2.5
- ML OKC -150 / MIN +125
- Pre-line forecast
- OKC 68%
- Elo + market-implied
- Elo ratings
- OKC -4
- OKC 66%
- Ratings vs. market
- +8.8 pts
- OKC: Elo 66.3%, market 57.4%
- Fair odds
- OKC -135
- MIN +135 · the forecast as odds, no margin
- Pregame projection
- OKC 109.5 – 107.0 MIN
- Posted spread, posted total 216.5
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 | OKC | MIN | Why |
|---|---|---|---|
| Team rating | 1763 | 1654 | Elo entering the game; 1500 is league average |
| Home field | — | +36 | Worth 36 Elo in the NBA |
| Lineups | +47 | +2 | OKC: Stronger than its recent lineups · MIN: Usual rotation (from the box score) |
| Elo ratings | OKC +117 Elo | OKC 66.3% | |
| Market-implied ratings | OKC 68.2% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | OKC 68.0% | 10% Elo, 90% market-implied (log-odds blend) | |
| Forecast | OKC 57.4% | 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. Offense and defense are points per 100 possessions, which sets aside how fast a team plays.
| OKC | Stat | |
|---|---|---|
| 4th of 30120.0 | Points scored | 114.313th of 30 |
| 3rd of 30107.5 | Points allowed | 109.35th of 30 |
| 1st of 30+12.5 | Margin | +5.04th of 30 |
| 4th of 30117.7 | Offense rating | 114.59th of 30 |
| 1st of 30105.4 | Defense rating | 109.56th of 30 |
| 6th of 30101.8 | Pace | 98.924th of 30 |
| 2nd of 308–2 | Last 10 | 8–22nd of 30 |
| 2nd of 3032–8 | Road vs home | 25–1612th of 30 |
Who's playing
Who sat out, from the box score, and what each absence cost against the lineups the team had been playing.
Thunder
+47 EloFull strength: nobody who matters sat out.
Timberwolves
+2 EloFull strength: nobody who matters sat out.
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 | ||
|---|---|---|
| Against the spread | 62–34 | 47–47 |
| Last 10 | 4–6 | 7–3 |
| Favorite | 59–33 | 32–37 |
| Underdog | 3–1 | 15–10 |
| Overs–unders | 53–43 | 51–43 |
| Overs–unders, last 10 | 6–4 | 6–4 |
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
OKC 6–4 MIN in their last 10 meetings; the forecast called 6 of 10.
- May 22
MIN 103 @ OKC 118PlayoffsPicked OKC 74%Hit - May 20
MIN 88 @ OKC 114PlayoffsPicked OKC 71%Hit - Feb 24
MIN 131 @ OKC 128Picked OKC 83%Miss - Feb 23
OKC 130 @ MIN 123Picked OKC 75%Hit - Feb 13
OKC 101 @ MIN 116Picked OKC 78%Miss - Dec 31
MIN 105 @ OKC 113Picked OKC 69%Hit - Jan 29
MIN 107 @ OKC 101Picked OKC 60%Miss - Jan 20
OKC 102 @ MIN 97Picked MIN 56%Miss



