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Charlotte Hornets at Milwaukee Bucks, NBA forecast

FinalFanDuel SN WI, FanDuel SN SE

Away

Hornets

10-41

84–120

at

Home

Bucks

34-19

CHA 27%MIL 73%

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Fiserv Forum · FanDuel SN WI, FanDuel SN SE

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.

MIL favored CHA favored110 scoring plays
Q1Q2Q3Q4MIL50%CHA

Game center

From the ESPN box score.

Top performers

Hornets

Last plays

  • Q40.0End of Game84–120
  • Q40.0End of the 4th Quarter84–120
  • Q49.1shot clock turnover84–120
  • Q433.1Bryce McGowens makes free throw 2 of 284–120
  • Q433.1Hornets offensive team rebound83–120
  • Q433.1Bryce McGowens misses free throw 1 of 283–120
  • Q433.1Hornets Full timeout83–120
  • Q433.1MarJon Beauchamp personal foul83–120
  • Q440.1Nathan Mensah defensive rebound83–120
  • Q444.1AJ Green misses 26-foot three point jumper83–120

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. Q110:43Miles Bridges makes 26-foot three pointer (Brandon Miller assists)CHA 3 – 2 MIL · CHA 24% → 29% +5
  2. Q19:12Malik Beasley makes 28-foot three point jumper (Damian Lillard assists)CHA 6 – 7 MIL · MIL 69% → 74% +5
  3. Q18:09Damian Lillard makes 26-foot step back jumpshotCHA 6 – 12 MIL · MIL 78% → 82% +5
  4. Q13:59Miles Bridges makes 26-foot three point jumper (Brandon Miller assists)CHA 17 – 23 MIL · CHA 14% → 18% +4
  5. Q25:17Malik Beasley makes 25-foot three point jumper (Damian Lillard assists)CHA 27 – 46 MIL · MIL 91% → 96% +5

The pick

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

Bucks 73%

StrongHit
CHA 27%MIL 73%

Forecast Elo ratings alone

How often that comes true: NBA favorites the forecast gave 70–75% have won 75.3% of 360 graded games.

Market
No line yet
Pre-line forecast
MIL 73%
Elo + market-implied
Elo ratings
MIL -10
MIL 83%
Fair odds
MIL -274
CHA +274 · the forecast as odds, no margin
Pregame projection
CHA 115.0 – 122.6 MIL
Margin from the forecast, total from team scoring ratings

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.

FactorCHAMILWhy
Team rating13111533Elo entering the game; 1500 is league average
Home field—+36Worth 36 Elo in the NBA
Rest—−40MIL on the second night of a back-to-back
Lineups−63−7CHA: Missing Davis Bertans −3, Tre Mann −2 · otherwise weaker than recent lineups · MIL: Weaker than its recent lineups (from the box score)
Elo ratingsMIL +274 EloMIL 82.9%
Market-implied ratingsMIL 72.0%Team strength as past closing lines priced it, same game context
Pre-line forecastMIL 73.3%10% Elo, 90% market-implied (log-odds blend)

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.

Try another venue →
Charlotte Hornets and Milwaukee Bucks compared, with each team's league rank
CHAStatMIL
28th of 30108.7Points scored123.02nd of 30
25th of 30120.4Points allowed120.024th of 30
30th of 30−11.7Margin+3.011th of 30
27th of 30108.4Offense rating118.25th of 30
30th of 30120.1Defense rating115.320th of 30
24th of 3099.8Pace103.44th of 30
30th of 301–9Last 104–618th of 30
27th of 305–19Road vs home21–65th 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 →

Hornets

−63 Elo
  • Davis Bertans trade pending−3 Elo
  • Tre Mann trade pending−2 Elo

Bucks

−7 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.

HornetsBucks
12501350145015501650league averageNovJanMarMayJulSepNov

Head to head

CHA 0–1 MIL in their last 1 meeting; the forecast called 1 of 1.