Serie B

Serie B

Italy

Statistics based on 5 recent seasons

Why we bet on this league

Serie B stays in focus when market prices diverge from our probability estimates in a repeatable way. Across 22 graded bets, the current hit rate is 36.4% with 4.8% ROI, while Home win has been the most active market type. This is context, not certainty: individual fixtures still depend on price quality close to kickoff.

Edge patterns

Market Settled Hit Rate ROI Avg Edge Avg Odds Profit
Home win 17 41.2% +21.8% 9.00% 3.01 +$43.98
Away win 3 33.3% -3.4% 11.29% 3.75 $-1.46
Draw 2 0.0% -100.0% 6.50% 3.80 $-29.39

Historical ROI

Month Settled Hit Rate ROI Profit
Nov 2025 6 33.3% +2.9% +$1.67
Dec 2025 6 50.0% +45.1% +$29.50
Jan 2026 8 25.0% -27.7% $-34.03
Feb 2026 2 50.0% +57.6% +$15.99
Home Win
37.1 %
Home advantage
Draw
32.3%
Stalemates
Away Win
30.6 %
Against the odds
Over 2.5
44.0 %
High-scoring
Goals Per Match
2.4
Defensive structure
BTTS
52.0%
Both teams score
Clean Sheets
9.6 %
Shut outs
Scoring Minutes
0-15'
12.8%
15-30'
15.4%
30-45'
17.5%
45-60'
16.4%
60-75'
15.5%
75-90'
22.2%
Cards
5.2
+0.2 red
Predictability
53.5%
Pattern confidence
Blanks
9.6 %
Failed to score
Corners
9.4
Per match

Live Standings

Current league table

POS TEAM P W D L GD PTS
1
Venezia VEN
26 17 5 4 +29 56
2
Monza MON
26 16 6 4 +19 54
3
Frosinone FRO
26 15 8 3 +24 53
4
Palermo PAL
26 14 9 3 +26 51
5
Catanzaro CAT
26 12 8 6 +10 44
6
Modena MOD
26 12 7 7 +15 43
7
Juve Stabia JUV
26 9 11 6 +0 38
8
Cesena CES
26 11 4 11 -3 37
9
Südtirol SUD
26 7 12 7 -1 33
10
Empoli EMP
26 7 9 10 -4 30
11
Carrarese CAR
26 7 9 10 -5 30
12
Calcio Padova PAD
26 7 9 10 -6 30
13
Sampdoria SAM
26 7 8 11 -6 29
14
Avellino AVE
26 7 8 11 -12 29
15
Reggiana Reggiana
26 6 8 12 -8 26
16
Mantova MAN
26 7 5 14 -15 26
17
Spezia SPE
26 6 7 13 -11 25
18
Virtus Entella ENT
26 5 10 11 -13 25
19
Bari 1908 BAR
26 4 10 12 -18 22
20
Pescara PES
26 3 9 14 -21 18
Promotion
Promotion Play-off
Relegation Play-off
Relegation

These statistics provide context for betting decisions in Serie B. Predictability scores measure how reliably outcomes can be forecast, while historical percentages reveal league-specific tendencies.

All percentages are calculated from recent completed seasons. Averages may shift as new data becomes available.