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La Liga Spain Prediction Models

2026/2027

Flat Betting Model

100

Matches w/ Odds

$10

Stake Per Bet

+6.81%

Best: Under 2.5

-33.27%

Worst: Away Underdog

Odds Range Filter

1.0

10.0

Use minimum and maximum odds selection tool to identify the most profitable ranges for the Flat Betting football prediction model for La Liga Spain. After each change on the odds range, the system filters qualifying bets and recalculates profits and losses based on those selections.

Market ROI Summary

Flat $10 stake on every match from start to end of season. Profit/loss and ROI per market.

Market	Bets	Wins	Win %	Staked	Return	P&L	ROI	Best Str.	Worst Str.
Home Bet	100	44	44%	$1000	$956	−$44.00	-4.4%	5	7
Draw Bet	100	28	28%	$1000	$994.6	−$5.40	-0.54%	3	14
Away Bet	100	28	28%	$1000	$800.2	−$199.80	-19.98%	3	8
Over 2.5	100	56	56%	$1000	$1024	+$24.00	+2.4%	5	4
Under 2.5	100	44	44%	$1000	$1068.1	+$68.10	+6.81%	4	5
BTTS Yes	100	58	58%	$1000	$1054.9	+$54.90	+5.49%	5	3
Home Favorite	69	38	55.07%	$690	$700.7	+$10.70	+1.55%	7	4
Away Underdog	51	7	13.73%	$510	$340.3	−$169.70	-33.27%	1	12
Favorite	100	55	55%	$1000	$1020.9	+$20.90	+2.09%	4	3
Underdog	100	17	17%	$1000	$735.3	−$264.70	-26.47%	2	24

Staking Plan Comparison

Same bets, different stake sizing. Flat = $10 every bet. Kelly ¼ = stake based on rolling edge estimate (quarter-Kelly for safety). Confidence = stake proportional to implied probability (more on favorites, less on longshots).

Market	Bets	Flat P&L	Flat ROI	Kelly ¼ P&L	Kelly ¼ ROI	Conf P&L	Conf ROI
Home Bet	100	−$44.00	-4.4%	−$46.43	-14.79%	−$20.34	-1.96%
Draw Bet	100	−$5.40	-0.54%	−$58.79	-54.72%	+$110.63	+11.48%
Away Bet	100	−$199.80	-19.98%	−$53.20	-65.67%	−$99.45	-9.62%
Over 2.5	100	+$24.00	+2.4%	−$42.32	-31.92%	+$21.80	+2.1%
Under 2.5	100	+$68.10	+6.81%	−$34.27	-18.92%	+$90.82	+8.67%
BTTS Yes	100	+$54.90	+5.49%	−$29.78	-27.44%	+$59.66	+5.67%
Home Favorite	69	+$10.70	+1.55%	−$32.80	-22.14%	+$21.37	+2.88%
Away Underdog	51	−$169.70	-33.27%	−$11.52	-100%	−$161.68	-35.21%
Favorite	100	+$20.90	+2.09%	−$39.70	-17.25%	+$43.59	+4.16%
Underdog	100	−$264.70	-26.47%	−$29.05	-54.91%	−$248.45	-24.85%

Staking Methods

Flat Stake:: Fixed $10 on every qualifying bet regardless of odds or edge.
Kelly ¼:: Stake = bankroll × (edge / (odds−1)) / 4. Uses rolling win rate as probability estimate. Grows bankroll when winning, shrinks when losing.
Confidence-weighted:: Stake = (implied prob / rolling avg implied prob) × $10. Bets more on favorites, less on longshots. Uses your previous bets' average to calculate each stake — applicable in real time.

Flat $10 on this team's Win result in every match. Sorted by ROI.

Team	Bets	Wins	Win %	P&L	ROI
Real Betis	10	6	60%	+$109.30	+109.3%
Atlético de Madrid	10	8	80%	+$61.40	+61.4%
Sevilla	10	5	50%	+$53.00	+53%
Real Madrid	10	8	80%	+$28.60	+28.6%
Real Sociedad	10	6	60%	+$24.90	+24.9%
Barcelona	10	9	90%	+$13.30	+13.3%
Deportivo de La Coruña	10	2	20%	−$2.20	-2.2%
Elche	10	2	20%	−$7.70	-7.7%
Osasuna	10	3	30%	−$15.70	-15.7%
Alavés	10	3	30%	−$19.00	-19%
Athletic Club	10	3	30%	−$20.10	-20.1%
Racing de Santander	10	3	30%	−$28.90	-28.9%
Levante	10	2	20%	−$32.10	-32.1%
Espanyol	10	2	20%	−$38.50	-38.5%
Villarreal	10	3	30%	−$40.10	-40.1%
Getafe	10	2	20%	−$54.90	-54.9%
Rayo Vallecano	10	2	20%	−$56.50	-56.5%
Celta de Vigo	10	2	20%	−$59.20	-59.2%
Valencia	10	1	10%	−$59.40	-59.4%
Málaga	10	0	0%	−$100.00	-100%

PPG Model

Teams

1.36

League Avg PPG

1.08

Home Factor

λ=0.85

WPPG Decay

Odds Range Filter

1.0

10.0

Use minimum and maximum odds selection tool to identify the most profitable ranges for the PPG football prediction model for La Liga Spain. After each change on the odds range, the system filters qualifying bets and recalculates profits and losses based on those selections.

PPG / WPPG Betting ROI

Backtested ROI betting $10 using incremental PPG — seeded with previous season data, blending into current-season results.

Strategy	Bets	Wins	Win %	P&L	ROI
PPG Favorite (1×2)	94	44	46.81%	−$33.00	-3.51%
PPG Home Pick	45	25	55.56%	−$17.20	-3.82%
PPG Away Pick	49	19	38.78%	−$15.80	-3.22%
WPPG Favorite (1×2)	100	46	46%	−$55.40	-5.54%
PPG Value (fair < market)	100	31	31%	−$121.00	-12.1%

Strategy Guide

PPG Favorite:: Backs the team with the higher PPG to win, whether home or away.
PPG Home Pick:: Bets on the home team only when PPG rates them higher than the visitor.
PPG Away Pick:: Bets on the away team only when PPG rates them higher than the home side.
WPPG Favorite:: Same as PPG Favorite but uses Weighted PPG (recent form weighted more heavily).
PPG Value:: Only bets when the PPG fair odds are lower than the bookmaker's odds — positive expected value. E.g. fair odds 1.80 vs bookmaker 2.10 = value bet.

Staking Plan Comparison

Same PPG bets, different stake sizing. Flat = $10 every bet. Kelly ¼ = stake based on rolling edge estimate. Confidence = stake proportional to implied probability.

Strategy	Bets	Flat P&L	Flat ROI	Kelly ¼ P&L	Kelly ¼ ROI	Conf P&L	Conf ROI
PPG Favorite (1×2)	94	−$33.00	-3.51%	−$17.64	-8.08%	−$38.13	-3.69%
PPG Home Pick	45	−$17.20	-3.82%	−$18.99	-13.8%	−$9.16	-1.9%
PPG Away Pick	49	−$15.80	-3.22%	−$5.49	-10.5%	−$28.80	-5.31%
WPPG Favorite (1×2)	100	−$55.40	-5.54%	−$30.13	-14.63%	−$41.77	-3.84%
PPG Value (fair < market)	100	−$121.00	-12.1%	−$49.22	-16.52%	−$82.38	-8.58%

Staking Methods

Flat Stake:: Fixed $10 on every qualifying bet regardless of odds or edge.
Kelly ¼:: Stake = bankroll × (edge / (odds−1)) / 4. Uses rolling win rate as probability estimate.
Confidence-weighted:: Stake = (implied prob / rolling avg implied prob) × $10. Bets more on favorites, less on longshots. Uses previous bets' average — applicable in real time.

Recent Results — PPG Predictions vs Actual

How PPG predictions compared to actual match results

Date	Match	PPG Pick	Prob	Fair Odds	Result	✓
26 Oct	Sevilla vs Osasuna	Sevilla	50.1%	2	2 – 0	✓
25 Oct	Barcelona vs Real Madrid	Barcelona	50.32%	1.99	1 – 2	✗
25 Oct	Real Sociedad vs Levante	Real Sociedad	56.99%	1.75	2 – 1	✓
25 Oct	Celta de Vigo vs Real Betis	Real Betis	50.25%	1.99	0 – 0	✗
25 Oct	Athletic Club vs Getafe	Athletic Club	45.77%	2.19	4 – 0	✓

Upcoming Fixtures — PPG Predictions

Win probabilities for upcoming matches based on current PPG ratings

Date	Match	PPG Pick	Prob	Fair Odds
30 Oct	Villarreal vs Espanyol	Villarreal	52.76%	1.9
31 Oct	Levante vs Atlético de Madrid	***	0%	0
31 Oct	Rayo Vallecano vs Celta de Vigo	🔒 Login or register for free to see predictions data.
31 Oct	Real Betis vs Málaga
31 Oct	Barcelona vs Alavés

PPG Ratings — All Teams

Points Per Game overall, home, away, and weighted (WPPG with λ=0.85 decay). Click column headers to sort.

Team	PPG ↓	H-PPG	A-PPG	WPPG	vs Avg
1Barcelona	2.7	2.4	3	2.44	+1.34
2Atlético de Madrid	2.5	2.6	2.4	2.69	+1.14
3Real Madrid	2.4	3	1.8	2.44	+1.04
4Real Betis	2	2.4	1.6	1.74	+0.64
5Real Sociedad	1.9	2	1.8	2.28	+0.54
6Sevilla	1.7	1.8	1.6	1.59	+0.34
7Athletic Club	1.3	1.6	1	1.44	-0.06
8Alavés	1.2	1.67	0.5	0.87	-0.16
9Villarreal	1.2	1	1.33	1.45	-0.16
10Celta de Vigo	1.2	1.33	1	1.44	-0.16
11Racing de Santander	1.1	2.2	0	1.17	-0.26
12Deportivo de La Coruña	1.1	1.2	1	0.84	-0.26
13Osasuna	1.1	1.6	0.6	0.97	-0.26
14Rayo Vallecano	1	1.6	0.4	0.96	-0.36
15Levante	1	1.75	0.5	0.89	-0.36
16Elche	1	0.25	1.5	1.32	-0.36
17Getafe	0.9	1.8	0	0.81	-0.46
18Espanyol	0.8	0.8	0.8	0.58	-0.56
19Valencia	0.6	0.33	1	0.63	-0.76
20Málaga	0.5	0.6	0.4	0.53	-0.86

PPG vs WPPG — Biggest Divergence

Teams where PPG and Weighted PPG disagree most — indicates recent form shift

Real Sociedad

PPG: 1.9WPPG: 2.28Gap: ↑ 0.38

Recent form better than season average — WPPG rising

Alavés

PPG: 1.2WPPG: 0.87Gap: ↓ 0.33

Recent form declining — WPPG dropping below season PPG

Elche

PPG: 1WPPG: 1.32Gap: ↑ 0.32

Recent form better than season average — WPPG rising

Barcelona

PPG: 2.7WPPG: 2.44Gap: ↓ 0.26

Recent form declining — WPPG dropping below season PPG

Deportivo de La Coruña

PPG: 1.1WPPG: 0.84Gap: ↓ 0.26

Recent form declining — WPPG dropping below season PPG

Worked Example — Sevilla vs Osasuna

P(Sevilla) = 1.56 / (1.56+1.22) × 1.08

= 0.561 × 1.08 = 50.1% → Fair odds 2

P(Draw) = 0.268 × (1 − |diff|)

= 20.96% → Fair odds 4.77

P(Osasuna) = 1 − 50.1% − 20.96%

= 28.94% → Fair odds 3.46

Poisson / Correct Score

Select Match

1.65

Home xG (λ)

1.31

Away xG (λ)

2.96

Total E[goals]

1.68

League Avg Home

1.3

League Avg Away

Dixon-Coles Score Matrix — Villarreal vs Espanyol

29 Oct · Each cell shows the probability of that exact scoreline. Dixon-Coles corrected (ρ = -0.13). · Upcoming

H \ A	0	1	2	3	4	5	6
0	6.7%	5.3%	4.5%	1.9%	0.6%	0.2%	0.0%
1	7.1%	12.7%	7.3%	3.2%	1.1%	0.3%	0.1%
2	7.1%	9.3%	6.1%	2.6%	0.9%	0.2%	0.1%
3	3.9%	5.1%	3.3%	1.5%	0.5%	0.1%	0.0%
4	1.6%	2.1%	1.4%	0.6%	0.2%	0.1%	0.0%
5	0.5%	0.7%	0.5%	0.2%	0.1%	0.0%	0.0%
6	0.1%	0.2%	0.1%	0.1%	0.0%	0.0%	0.0%

Most likely High Medium Low

Derived Markets

Home Win

43.91%

Fair odds: 2.28

Draw

27.07%

Fair odds: 3.69

Away Win

29.02%

Fair odds: 3.45

Over 0.593.35%/ Under 6.65%Fair: 1.07

Over 1.580.9%/ Under 19.1%Fair: 1.24

Over 2.556.69%/ Under 43.31%Fair: 1.76

Over 3.534.25%/ Under 65.75%Fair: 2.92

Over 4.517.64%/ Under 82.36%Fair: 5.67

BTTS Yes60.42%Fair: 1.66

BTTS No39.58%Fair: 2.53

Correct Score — Top 12

11-1

12.68%D

22-1

9.26%H

31-2

7.35%A

41-0

7.11%H

52-0

7.07%H

60-0

6.65%D

72-2

6.06%D

80-1

5.34%A

93-1

5.09%H

100-2

4.46%A

113-0

3.89%H

123-2

3.34%H

Dixon-Coles vs Plain Poisson

Where the low-score correction adds value

Plain Poisson

P(0-0) = 5.2%

P(1-0) = 8.6%

P(0-1) = 6.8%

P(1-1) = 11.2%

✗ Underestimates 0-0, 1-0, 0-1

Dixon-Coles (ρ correction)

P(0-0) = 6.7% (+1.5%)

P(1-0) = 7.1% (-1.4%)

P(0-1) = 5.3% (-1.5%)

P(1-1) = 12.7% (+1.5%)

✓ Fixes low-score underestimation

💡 Why does this matter? Draws in football are dominated by 0-0 and 1-1. Plain Poisson underprices these by 15–20%. Dixon-Coles corrects this, generating better ROI on draw markets.

Dixon-Coles Betting ROI

Backtested ROI using incremental Poisson/Dixon-Coles model — xG computed only from matches played before each bet.

Strategy	Bets	Wins	Win %	P&L	ROI
DC Value (1X2 edge > 3%)	82	26	31.71%	−$73.70	-8.99%
DC Home Pick (>50%)	38	24	63.16%	+$19.50	+5.13%
DC Away Pick (>50%)	13	9	69.23%	+$16.10	+12.38%
DC Draw (>28%)	29	10	34.48%	+$42.40	+14.62%
DC Over 2.5 Value	39	21	53.85%	+$10.20	+2.62%
DC BTTS Value	29	17	58.62%	+$23.20	+8%

Staking Plan Comparison

Same Dixon-Coles bets, different stake sizing. Flat = $10 every bet. Kelly ¼ and Confidence-weighted alternatives.

Strategy	Bets	Flat P&L	Flat ROI	Kelly ¼ P&L	Kelly ¼ ROI	Conf P&L	Conf ROI
DC Value (1X2 edge > 3%)	82	−$73.70	-8.99%	−$39.03	-26.47%	−$64.56	-8.12%
DC Home Pick (>50%)	38	+$19.50	+5.13%	−$26.16	-16.71%	+$33.62	+8.35%
DC Away Pick (>50%)	13	+$16.10	+12.38%	−$12.00	-14%	+$27.88	+23.38%
DC Draw (>28%)	29	+$42.40	+14.62%	−$16.84	-56.51%	+$67.84	+22.9%
DC Over 2.5 Value	39	+$10.20	+2.62%	−$11.72	-31.99%	+$14.08	+3.43%
DC BTTS Value	29	+$23.20	+8%	−$10.23	-25.45%	+$24.37	+8.2%

Staking Methods

Flat Stake:: Fixed $10 on every qualifying bet regardless of odds or edge.
Kelly ¼:: Stake = bankroll × (edge / (odds−1)) / 4. Uses rolling win rate as probability estimate. Grows bankroll when winning, shrinks when losing.
Confidence-weighted:: Stake = (implied prob / rolling avg implied prob) × $10. Bets more on favorites, less on longshots. Uses your previous bets' average to calculate each stake — applicable in real time.

Team Attack & Defense Strength

Attack/defense strength relative to league average (1.00 = average). Used to derive expected goals (xG) for each match.

Team	Att (H)	Def (H)	Att (A)	Def (A)	H GP	A GP
Barcelona	2.1	0.85	3.12	0.65	5	5
Real Madrid	1.94	0.51	1.28	0.8	5	5
Atlético de Madrid	1.31	0.52	1.33	0.65	5	5
Real Sociedad	0.9	1.14	1.71	1.26	5	5
Sevilla	0.83	1.1	1.32	1.09	5	5
Levante	1.58	1.72	0.38	0.89	4	6
Real Betis	1.18	1.05	0.96	0.85	5	5
Racing de Santander	1.26	1.19	0.68	1.95	5	5
Villarreal	1.13	1.06	1.15	0.79	4	6
Alavés	1.09	0.77	0.68	0.84	6	4
Elche	0.74	1.71	1.28	0.6	4	6
Deportivo de La Coruña	0.76	0.81	1.07	0.96	5	5
Rayo Vallecano	0.73	1.02	0.9	1.45	5	5
Espanyol	0.71	1.09	0.94	0.87	5	5
Athletic Club	1.02	0.68	0.55	0.71	5	5
Celta de Vigo	0.89	0.77	0.5	0.32	6	4
Osasuna	0.57	0.57	0.87	1.83	5	5
Málaga	0.67	1.45	0.43	1.06	5	5
Valencia	0.3	1.41	0.81	0.95	6	4
Getafe	0.6	0.51	0.11	1.32	5	5

How Poisson Predictions Work

Step 1 — Expected Goals:: Home xG = Home Attack Strength × Away Defense Weakness × League Avg Home Goals. Each team's attack and defense ratings are calculated relative to the league average.
Step 2 — Poisson Formula:: P(k goals) = e⁻λ × λᵏ / k! — models the probability of scoring exactly k goals given the expected goals (λ).
Step 3 — Score Matrix:: Multiply home and away goal probabilities for every combination (0-0 through 6-6) to build a full probability grid for every possible scoreline.
Step 4 — Dixon-Coles:: Apply ρ correction to fix Poisson's underestimation of low-scoring draws (0-0, 1-1, 1-0, 0-1). This is the key improvement over basic Poisson.
Step 5 — Derive Markets:: Sum probabilities from the matrix to derive 1X2, Over/Under, BTTS, and correct score probabilities — then convert to fair odds for value identification.

Elo Rating

Current Elo Ratings

All teams ranked by Elo. Start rating: 1500. K-factor: 32. Home advantage: +65 Elo.

1Barcelona

1605

2Atlético de Madrid

1598

3Real Madrid

1586

4Real Betis

1552

5Real Sociedad

1543

6Sevilla

1527

7Athletic Club

1501

8Celta de Vigo

1498

9Villarreal

1496

10Elche

1485

11Deportivo de La Coruña

1485

12Levante

1480

13Rayo Vallecano

1472

14Osasuna

1472

15Racing de Santander

1470

16Alavés

1470

17Getafe

1462

18Espanyol

1439

19Valencia

1431

20Málaga

1431

Elo → Win Probability Table

How Elo difference translates to win probability.

Elo Diff	P(Higher wins)	Fair Odds	Typical Matchup
0	50.0%	2.00	Evenly matched
50	57.1%	1.75	Mid vs mid-lower
100	64.0%	1.56	Top-8 vs bottom-8
150	70.3%	1.42	Top-4 vs relegation
200	76.0%	1.32	Leader vs bottom half
250	80.8%	1.24	Leader vs bottom 3
300	84.9%	1.18	Barcelona vs Málaga

Elo Rating History — Top 6

How the top 6 teams' Elo ratings evolved across the season.

BarcelonaAtlético de MadridReal MadridReal BetisReal SociedadSevilla

Elo Ratings — All Teams

Current Elo rating, peak Elo this season, and results. Start rating: 1500.

#	Team	Elo	Peak	Δ	GP	W	D	L
1	Barcelona	1605	1626	+105	10	9	0	1
2	Atlético de Madrid	1598	1598	+98	10	8	1	1
3	Real Madrid	1586	1586	+86	10	8	0	2
4	Real Betis	1552	1568	+52	10	6	2	2
5	Real Sociedad	1543	1543	+43	10	6	1	3
6	Sevilla	1527	1543	+27	10	5	2	3
7	Athletic Club	1501	1505	+1	10	3	4	3
8	Celta de Vigo	1498	1503	-2	10	2	6	2
9	Villarreal	1496	1506	-4	10	3	3	4
10	Elche	1485	1503	-15	10	2	4	4
11	Deportivo de La Coruña	1485	1531	-15	10	2	5	3
12	Levante	1480	1507	-20	10	2	4	4
13	Rayo Vallecano	1472	1500	-28	10	2	4	4
14	Osasuna	1472	1528	-28	10	3	2	5
15	Racing de Santander	1470	1500	-30	10	3	2	5
16	Alavés	1470	1541	-30	10	3	3	4
17	Getafe	1462	1500	-38	10	2	3	5
18	Espanyol	1439	1513	-61	10	2	2	6
19	Valencia	1431	1500	-69	10	1	3	6
20	Málaga	1431	1500	-69	10	0	5	5

Elo Betting ROI

Backtested ROI using incremental Elo ratings — ratings computed from matches played before each bet.

Strategy	Bets	Wins	Win %	P&L	ROI
Elo Value (edge > 3%)	70	12	17%	−$210.70	-30.1%
Elo Favourite	80	40	50%	+$64.50	+8.06%
Elo Home Pick (>55%)	5	4	80%	+$0.40	+0.8%
Elo Draw (>28%)	31	10	32%	+$29.50	+9.52%

Staking Plan Comparison

Same Elo bets, different stake sizing. Flat = $10 every bet. Kelly ¼ and Confidence-weighted alternatives.

Strategy	Bets	Flat P&L	Flat ROI	Kelly ¼ P&L	Kelly ¼ ROI	Conf P&L	Conf ROI
Elo Value (edge > 3%)	70	−$210.70	-30.1%	−$37.43	-44.43%	−$201.49	-29.89%
Elo Favourite	80	+$64.50	+8.06%	−$17.23	-2.08%	+$53.72	+6.39%
Elo Home Pick (>55%)	5	+$0.40	+0.8%	$0.00	0%	+$1.16	+1.82%
Elo Draw (>28%)	31	+$29.50	+9.52%	−$15.20	-96.14%	+$98.29	+31.19%

Staking Methods

Flat Stake:: Fixed $10 on every qualifying bet regardless of odds or edge.
Kelly ¼:: Stake = bankroll × (edge / (odds−1)) / 4. Uses rolling win rate as probability estimate. Grows bankroll when winning, shrinks when losing.
Confidence-weighted:: Stake = (implied prob / rolling avg implied prob) × $10. Bets more on favorites, less on longshots. Uses your previous bets' average to calculate each stake — applicable in real time.

How Elo Ratings Work

Step 1 — Starting Rating:: Every team starts at 1500. Higher Elo means a stronger team.
Step 2 — Expected Score:: E(A) = 1 / (1 + 10^(R_B − R_A) / 400). If Arsenal is rated 1600 and Wolves is 1450, Arsenal's expected score is 0.71.
Step 3 — Update After Match:: R_new = R_old + K × (S − E), where S is the actual result (1 = win, 0.5 = draw, 0 = loss) and K=32 controls sensitivity.
Step 4 — Home Advantage:: Home team gets +65 Elo boost when calculating expected scores, reflecting the statistical home advantage in football.
Step 5 — Betting:: Convert Elo difference into win/draw/loss probabilities, compare against bookmaker odds, and bet when the model spots value.

Value Scanner

No upcoming matches with odds available. Please check back later.

La Liga Spain Prediction Models

Flat Betting Model

Odds Range Filter

Market ROI Summary

Staking Plan Comparison

By Team Bets

PPG Model

Odds Range Filter

PPG / WPPG Betting ROI

Staking Plan Comparison

Recent Results — PPG Predictions vs Actual

Upcoming Fixtures — PPG Predictions

PPG Ratings — All Teams

PPG vs WPPG — Biggest Divergence

Worked Example — Sevilla vs Osasuna

Poisson / Correct Score

Select Match

Dixon-Coles Score Matrix — Villarreal vs Espanyol

Derived Markets

Correct Score — Top 12

Dixon-Coles vs Plain Poisson

Dixon-Coles Betting ROI

Staking Plan Comparison

Team Attack & Defense Strength

How Poisson Predictions Work

Elo Rating

Current Elo Ratings

Elo → Win Probability Table

Elo Rating History — Top 6

Elo Ratings — All Teams

Elo Betting ROI

Staking Plan Comparison

How Elo Ratings Work

Value Scanner