Toronto Raptors at Milwaukee Bucks, NBA forecast
Win probability
Starts from the pregame forecast, then moves with every score and the time left. Above the line favors MIL; hover for each play.
How the forecast moved
MIL went from 36% to 30% over 7 updates; the betting line was first on file Friday, November 6 at 12:02 AM ET. Updates come from lines, injury news and results elsewhere in the league.
Mon, Nov 2, 9:47 PM ESTJakob Poeltl out · forecast MIL 35%
Tue, Nov 3, 1:05 PM ESTJakob Poeltl back · forecast MIL 30%
Game center
From the ESPN box score.
Top performers
- RJ BarrettPoints27
- Jamal SheadAssists16
- Jakob PoeltlRebounds11
- Tyler HerroPoints23
- Tyler HerroAssists10
- Brayden BurriesRebounds11
Last plays
- Q40.0End of Game121–107
- Q40.0End of the 4th Quarter121–107
- Q40.0(00:00) [Raptors] REF-INITIATED REVIEW (REPLAY SUPPORTS CALL)121–107
- Q40.0
AJ Green makes 24-foot three point jumper (Brayden Burries assists)121–107 - Q410.2
Jakob Poeltl makes finger roll layup121–104 - Q417.3
Collin Murray-Boyles defensive rebound119–104 - Q417.3
AJ Green misses 20-foot jumper119–104 - Q424.6
Jakob Poeltl makes 4-foot dunk (Jamal Shead assists)119–104 - Q433.2
Tyler Herro makes 1-foot driving dunk (Jaime Jaquez Jr. assists)117–104 - Q435.4
Bucks Full timeout117–102
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.
- Q35:19
Tyler Herro makes 24-foot three point step back jumpshotTOR 71 – 72 MIL · MIL 32% → 41% +10MIL 32% → 41%+10 pts - Q34:52
Jaime Jaquez Jr. makes 23-foot three point jumper (Tyler Herro assists)TOR 71 – 75 MIL · MIL 41% → 52% +10MIL 41% → 52%+10 pts - Q33.5
AJ Green makes 24-foot three pointer (Tyler Herro assists)TOR 89 – 87 MIL · MIL 22% → 32% +10MIL 22% → 32%+10 pts - Q48:41
AJ Green makes 22-foot three point jumper (Brayden Burries assists)TOR 97 – 93 MIL · MIL 14% → 24% +10MIL 14% → 24%+10 pts - Q46:22
Alijah Martin makes 25-foot three point jumper (RJ Barrett assists)TOR 100 – 95 MIL · TOR 68% → 82% +13TOR 68% → 82%+13 pts
The pick
Locked forecast: logged before the game started and graded as-is. Anchored on the betting line, which beat every rating model in testing.
Raptors 70%
Forecast Elo ratings alone
How often that comes true: NBA favorites the forecast gave 65–70% have won 65.2% of 388 graded games.
- Market
- TOR -7.5
- ML TOR -263 / MIL +216
- Pre-line forecast
- TOR 67%
- Elo + market-implied
- Elo ratings
- TOR -2
- TOR 58%
- Ratings vs. market
- −11.3 pts
- TOR: Elo 58.3%, market 69.6%
- Fair odds
- TOR -229
- MIL +229 · the forecast as odds, no margin
- Pregame projection
- TOR 119.0 – 111.5 MIL
- Posted spread, posted total 230.5
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 | TOR | MIL | Why |
|---|---|---|---|
| Team rating | 1522 | 1384 | Elo entering the game; 1500 is league average |
| Home field | — | +36 | Worth 36 Elo in the NBA |
| Lineups | −19 | +13 | TOR: Missing Kawhi Leonard −64, Scottie Barnes (40% to sit) −15 · otherwise stronger than recent lineups · MIL: Stronger than its recent lineups (from the injury report) |
| Travel | −12 | — | TOR crossed 1 time zone heading east to this game: 12 Elo per zone for body-clock lag |
| Elo ratings | TOR +58 Elo | TOR 58.3% | |
| Market-implied ratings | TOR 67.7% | Team strength as past closing lines priced it, same game context | |
| Pre-line forecast | TOR 66.8% | 10% Elo, 90% market-implied (log-odds blend) | |
| Forecast | TOR 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. Opponent Elo: how strong the teams each has played are, 1st the toughest. Offense and defense are points per 100 possessions, which sets aside how fast a team plays.
| TOR | Stat | |
|---|---|---|
| 9th of 30117.9 | Points scored | 110.021st of 30 |
| 16th of 30113.5 | Points allowed | 122.327th of 30 |
| 12th of 30+4.4 | Margin | −12.327th of 30 |
| 10th of 30113.4 | Offense rating | 106.123rd of 30 |
| 11th of 30109.2 | Defense rating | 117.927th of 30 |
| 5th of 30103.8 | Pace | 103.67th of 30 |
| 17th of 302–3 | Road vs home | 1–322nd of 30 |
| 19th of 301490 | Opponent Elo | 150816th of 30 |
| 15th of 301522 | Elo rating | 138425th 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.
Raptors
−62 Elo- Immanuel Quickley right hamstring−22 Elo
Bucks
+13 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 | 4–2 | 3–5 |
| Last 10 | 4–2 | 3–5 |
| Favorite | 4–1 | 0–1 |
| Underdog | 0–1 | 3–4 |
| Overs–unders | 4–2 | 5–3 |
| Overs–unders, last 10 | 4–2 | 5–3 |
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
TOR 5–5 MIL in their last 10 meetings; the forecast called 7 of 10.
- Feb 22
TOR 122 @ MIL 94Picked TOR 59%Hit - Dec 18
TOR 111 @ MIL 105Picked TOR 63%Hit - Nov 4
MIL 100 @ TOR 128Picked TOR 54%Hit - Oct 24
MIL 122 @ TOR 116Picked TOR 54%Miss - Jan 17
TOR 112 @ MIL 130Picked MIL 82%Hit - Jan 6
MIL 128 @ TOR 104Picked MIL 67%Hit - Nov 12
TOR 85 @ MIL 99Picked MIL 76%Hit - Apr 5
TOR 117 @ MIL 111Picked MIL 75%Miss



