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Milwaukee Bucks at Minnesota Timberwolves, NBA forecast

FinalFanDuel SN North Extra, FanDuel SN WI, NBA League Pass

Away

Bucks

11-18

100–103

at

Home

Timberwolves

19-10

MIL 17%MIN 83%

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Target Center · FanDuel SN North Extra, FanDuel SN WI, NBA League Pass

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.

MIN favored MIL favored104 scoring plays
Q1Q2Q3Q4MIN50%MIL

Game center

From the ESPN box score.

Top performers

Bucks
Timberwolves

Last plays

  • Q40.0End of Game100–103
  • Q40.0End of the 4th Quarter100–103
  • Q40.5Naz Reid enters the game for Rudy Gobert100–103
  • Q40.5Timberwolves Full timeout100–103
  • Q40.5Kevin Porter Jr. makes 24-foot three point jumper100–103
  • Q40.5Kevin Porter Jr. offensive rebound97–103
  • Q40.5Mike Conley blocks Kevin Porter Jr. 's 24-foot three point jumper97–103
  • Q49.0Kevin Porter Jr. offensive rebound97–103
  • Q49.9Myles Turner misses 24-foot three point jumper97–103
  • Q421.8Anthony Edwards makes 2-foot two point shot (Donte DiVincenzo assists)97–103

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.

  1. Q411:30Ryan Rollins makes 24-foot three point step back jumpshot (Jericho Sims assists)MIL 78 – 75 MIN · MIL 32% → 44% +12
  2. Q411:01Bones Hyland makes 24-foot three point jumper (Mike Conley assists)MIL 78 – 78 MIN · MIN 55% → 67% +12
  3. Q410:32Gary Trent Jr. makes 24-foot three point jumper (Ryan Rollins assists)MIL 81 – 78 MIN · MIL 33% → 46% +13
  4. Q410:12Terrence Shannon Jr. makes 25-foot three point jumper (Mike Conley assists)MIL 81 – 81 MIN · MIN 54% → 67% +13
  5. Q48:32Terrence Shannon Jr. makes 25-foot three point jumper (Bones Hyland assists)MIL 85 – 86 MIN · MIN 56% → 70% +14

The pick

Reconstructed from what was known before the game: the ratings at that point and the closing line.

Timberwolves 83%

StrongHit
MIL 17%MIN 83%

Forecast Elo ratings alone

How often that comes true: NBA favorites the forecast gave 80–85% have won 81.1% of 286 graded games.

Market
MIN -12.5
ML MIL +455 / MIN -625
Pre-line forecast
MIN 83%
Elo + market-implied
Elo ratings
MIN -10
MIN 84%
Ratings vs. market
+1.2 pts
MIN: Elo 83.9%, market 82.7%
Fair odds
MIN -478
MIL +478 · the forecast as odds, no margin
Pregame projection
MIL 107.0 – 119.5 MIN
Posted spread, posted total 226.5

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.

FactorMILMINWhy
Team rating14511606Elo entering the game; 1500 is league average
Home field—+36Worth 36 Elo in the NBA
Lineups−84+12MIL: Weaker than its recent lineups · MIN: Stronger than its recent lineups (from the box score)
Elo ratingsMIN +286 EloMIN 83.9%
Market-implied ratingsMIN 83.0%Team strength as past closing lines priced it, same game context
Pre-line forecastMIN 83.1%10% Elo, 90% market-implied (log-odds blend)
ForecastMIN 82.7%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.

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Milwaukee Bucks and Minnesota Timberwolves compared, with each team's league rank
MILStatMIN
23rd of 30113.6Points scored119.29th of 30
20th of 30117.4Points allowed114.311th of 30
22nd of 30−3.9Margin+4.98th of 30
18th of 30112.3Offense rating115.88th of 30
24th of 30116.1Defense rating111.17th of 30
26th of 30100.4Pace102.214th of 30
24th of 303–7Last 108–21st of 30
24th of 303–9Road vs home10–58th of 30
25th of 301479Opponent Elo149915th of 30
19th of 301451Elo rating16065th 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.

All player ratings →

Bucks

−84 Elo

Full strength: nobody who matters sat out.

Timberwolves

+12 Elo

Full 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.

BucksTimberwolves
1350140014501500155016001650league averageNovJanMarMayJulSepNov

Against the line

How each team has done against the closing spread and total, coming into this game.

This seasonMILMIN
Against the spread12–1611–17
Last 105–54–6
Favorite4–88–14
Underdog8–83–3
Overs–unders12–1613–15
Overs–unders, last 102–85–5

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

MIL 3–1 MIN in their last 4 meetings; the forecast called 1 of 4.