Home/Sports/Predictions/Football/CSL China

CSL China Prediction Models

2026

Flat Betting Model

Matches w/ Odds

$10

Stake Per Bet

+17.93%

Best: Draw Bet

-82.33%

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 CSL China Pr. 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	76	28	36.84%	$760	$567	−$193.00	-25.39%	4	6
Draw Bet	76	22	28.95%	$760	$896.3	+$136.30	+17.93%	3	8
Away Bet	76	26	34.21%	$760	$700.3	−$59.70	-7.86%	3	8
Over 2.5	76	43	56.58%	$760	$645.6	−$114.40	-15.05%	6	3
Under 2.5	76	33	43.42%	$760	$841.1	+$81.10	+10.67%	3	6
BTTS Yes	76	47	61.84%	$760	$722.1	−$37.90	-4.99%	6	3
Home Favorite	52	24	46.15%	$520	$425.5	−$94.50	-18.17%	5	6
Away Underdog	24	1	4.17%	$240	$42.4	−$197.60	-82.33%	1	20
Favorite	76	38	50%	$760	$712.6	−$47.40	-6.24%	7	8
Underdog	76	15	19.74%	$760	$527.7	−$232.30	-30.57%	2	18

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	76	−$193.00	-25.39%	−$45.24	-24.6%	−$160.70	-21.71%
Draw Bet	76	+$136.30	+17.93%	−$18.00	-18.94%	+$142.61	+18.39%
Away Bet	76	−$59.70	-7.86%	−$37.50	-62.38%	+$48.29	+5.87%
Over 2.5	76	−$114.40	-15.05%	−$13.49	-77.17%	−$95.94	-12.54%
Under 2.5	76	+$81.10	+10.67%	−$43.77	-17.8%	+$117.55	+15.26%
BTTS Yes	76	−$37.90	-4.99%	−$26.82	-40.43%	−$35.27	-4.6%
Home Favorite	52	−$94.50	-18.17%	−$32.99	-38.39%	−$79.70	-15.29%
Away Underdog	24	−$197.60	-82.33%	$0.00	0%	−$202.38	-78.5%
Favorite	76	−$47.40	-6.24%	−$33.72	-20.5%	−$35.72	-4.74%
Underdog	76	−$232.30	-30.57%	−$19.95	-100%	−$199.77	-24.73%

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
Shandong Taishan	9	6	66.67%	+$61.50	+68.33%
Tianjin Jinmen Tiger	10	5	50%	+$53.40	+53.4%
Shanghai Port	10	7	70%	+$46.30	+46.3%
Dalian Yingbo	10	6	60%	+$39.90	+39.9%
Beijing Guoan	10	7	70%	+$33.30	+33.3%
Shanghai Shenhua	10	6	60%	+$31.90	+31.9%
Shenzhen Peng City	9	3	33.33%	−$0.70	-0.78%
Yunnan Yukun	9	3	33.33%	−$15.20	-16.89%
Zhejiang	9	3	33.33%	−$20.10	-22.33%
Liaoning Tieren	10	2	20%	−$42.70	-42.7%
Qingdao West Coast	9	2	22.22%	−$45.00	-50%
Chengdu Rongcheng	9	2	22.22%	−$53.80	-59.78%
Wuhan Three Towns	10	1	10%	−$74.00	-74%
Chongqing Tonglianglong	9	1	11.11%	−$77.50	-86.11%
Henan	10	0	0%	−$100.00	-100%
Qingdao Hainiu	9	0	0%	−$90.00	-100%

PPG Model

Teams

1.37

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 CSL China Pr. 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)	76	39	51.32%	+$68.60	+9.03%
PPG Home Pick	29	18	62.07%	−$0.20	-0.07%
PPG Away Pick	47	21	44.68%	+$68.80	+14.64%
WPPG Favorite (1×2)	76	38	50%	+$90.10	+11.86%
PPG Value (fair < market)	76	22	28.95%	−$193.30	-25.43%

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)	76	+$68.60	+9.03%	−$17.38	-11.38%	+$68.66	+8.66%
PPG Home Pick	29	−$0.20	-0.07%	−$34.93	-35.76%	+$9.95	+3.42%
PPG Away Pick	47	+$68.80	+14.64%	−$2.65	-4.14%	+$68.49	+13.53%
WPPG Favorite (1×2)	76	+$90.10	+11.86%	−$4.02	-2.5%	+$68.31	+9%
PPG Value (fair < market)	76	−$193.30	-25.43%	−$54.91	-45.89%	−$136.68	-18.57%

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	✓
24 Oct	Chengdu Rongcheng vs Dalian Yingbo	Chengdu Rongcheng	46.42%	2.15	0 – 1	✗
24 Oct	Chongqing Tonglianglong vs Qingdao Hainiu	Chongqing Tonglianglong	56.42%	1.77	2 – 0	✓
24 Oct	Henan vs Beijing Guoan	Beijing Guoan	44.22%	2.26	3 – 4	✓
24 Oct	Liaoning Tieren vs Zhejiang	Liaoning Tieren	39.64%	2.52	2 – 4	✗
24 Oct	Qingdao West Coast vs Yunnan Yukun	Qingdao West Coast	42.32%	2.36	1 – 1	✗

Upcoming Fixtures — PPG Predictions

Win probabilities for upcoming matches based on current PPG ratings

Date	Match	PPG Pick	Prob	Fair Odds
08 Nov	Yunnan Yukun vs Wuhan Three Towns	Yunnan Yukun	53.74%	1.86
08 Nov	Shanghai Shenhua vs Qingdao West Coast	***	0%	0
08 Nov	Shanghai Port vs Liaoning Tieren	🔒 Login or register for free to see predictions data.
08 Nov	Shandong Taishan vs Chengdu Rongcheng
08 Nov	Qingdao Hainiu vs Shenzhen Peng City

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
1Chengdu Rongcheng	1.79	1.8	1.79	0.92	+0.42
2Beijing Guoan	1.79	1.79	1.8	2.27	+0.42
3Shandong Taishan	1.72	2	1.47	1.98	+0.35
4Dalian Yingbo	1.69	2.21	1.2	2.2	+0.32
5Shanghai Shenhua	1.62	1.64	1.6	1.68	+0.25
6Shanghai Port	1.62	1.64	1.6	2.3	+0.25
7Tianjin Jinmen Tiger	1.41	1.27	1.57	1.8	+0.04
8Yunnan Yukun	1.38	1.93	0.87	1.26	+0.01
9Zhejiang	1.34	1.71	1	1.27	-0.03
10Qingdao West Coast	1.34	1.6	1.07	1.15	-0.03
11Chongqing Tonglianglong	1.24	1.4	1.07	1.06	-0.13
12Henan	1.17	1.13	1.21	0.79	-0.20
13Shenzhen Peng City	1.1	1.6	0.57	1.23	-0.27
14Liaoning Tieren	1	1.33	0.64	0.89	-0.37
15Wuhan Three Towns	0.93	1.13	0.71	0.82	-0.44
16Qingdao Hainiu	0.72	1.21	0.27	0.17	-0.65

PPG vs WPPG — Biggest Divergence

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

Chengdu Rongcheng

PPG: 1.79WPPG: 0.92Gap: ↓ 0.87

Recent form declining — WPPG dropping below season PPG

Shanghai Port

PPG: 1.62WPPG: 2.3Gap: ↑ 0.68

Recent form better than season average — WPPG rising

Qingdao Hainiu

PPG: 0.72WPPG: 0.17Gap: ↓ 0.55

Recent form declining — WPPG dropping below season PPG

Dalian Yingbo

PPG: 1.69WPPG: 2.2Gap: ↑ 0.51

Recent form better than season average — WPPG rising

Beijing Guoan

PPG: 1.79WPPG: 2.27Gap: ↑ 0.48

Recent form better than season average — WPPG rising

Worked Example — Chengdu Rongcheng vs Dalian Yingbo

P(Chengdu Rongcheng) = 1.86 / (1.86+1.64) × 1.08

= 0.531 × 1.08 = 46.42% → Fair odds 2.15

P(Draw) = 0.268 × (1 − |diff|)

= 23.63% → Fair odds 4.23

P(Dalian Yingbo) = 1 − 46.42% − 23.63%

= 29.95% → Fair odds 3.34

Poisson / Correct Score

Select Match

2.86

Home xG (λ)

1.63

Away xG (λ)

4.49

Total E[goals]

1.77

League Avg Home

1.38

League Avg Away

Dixon-Coles Score Matrix — Yunnan Yukun vs Wuhan Three Towns

07 Nov · 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	1.9%	1.2%	1.5%	0.8%	0.3%	0.1%	0.0%
1	2.6%	6.1%	4.4%	2.4%	1.0%	0.3%	0.1%
2	4.7%	7.7%	6.3%	3.4%	1.4%	0.5%	0.1%
3	4.5%	7.3%	6.0%	3.3%	1.3%	0.4%	0.1%
4	3.2%	5.3%	4.3%	2.3%	0.9%	0.3%	0.1%
5	1.8%	3.0%	2.5%	1.3%	0.5%	0.2%	0.1%
6	0.9%	1.4%	1.2%	0.6%	0.3%	0.1%	0.0%

Most likely High Medium Low

Derived Markets

Home Win

61.53%

Fair odds: 1.63

Draw

18.61%

Fair odds: 5.37

Away Win

19.86%

Fair odds: 5.03

Over 0.598.15%/ Under 1.85%Fair: 1.02

Over 1.594.36%/ Under 5.64%Fair: 1.06

Over 2.582.02%/ Under 17.98%Fair: 1.22

Over 3.564.6%/ Under 35.4%Fair: 1.55

Over 4.545.04%/ Under 54.96%Fair: 2.22

BTTS Yes76.35%Fair: 1.31

BTTS No23.65%Fair: 4.23

Correct Score — Top 12

12-1

7.7%H

23-1

7.34%H

32-2

6.27%D

41-1

6.08%D

53-2

5.98%H

64-1

5.25%H

72-0

4.72%H

83-0

4.5%H

91-2

4.39%A

104-2

4.28%H

112-3

3.41%A

123-3

3.25%D

Dixon-Coles vs Plain Poisson

Where the low-score correction adds value

Plain Poisson

P(0-0) = 1.1%

P(1-0) = 3.2%

P(0-1) = 1.8%

P(1-1) = 5.2%

✗ Underestimates 0-0, 1-0, 0-1

Dixon-Coles (ρ correction)

P(0-0) = 1.9% (+0.7%)

P(1-0) = 2.6% (-0.6%)

P(0-1) = 1.2% (-0.7%)

P(1-1) = 6.1% (+0.8%)

✓ 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%)	59	17	28.81%	−$10.60	-1.8%
DC Home Pick (>50%)	32	14	43.75%	−$94.80	-29.62%
DC Away Pick (>50%)	3	1	33.33%	−$16.40	-54.67%
DC Draw (>28%)	22	11	50%	+$191.70	+87.14%
DC Over 2.5 Value	13	8	61.54%	−$11.90	-9.15%
DC BTTS Value	7	5	71.43%	+$4.60	+6.57%

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%)	59	−$10.60	-1.8%	+$13.59	+23.99%	−$57.13	-10.41%
DC Home Pick (>50%)	32	−$94.80	-29.62%	−$9.71	-100%	−$77.64	-24.29%
DC Away Pick (>50%)	3	−$16.40	-54.67%	$0.00	0%	−$14.24	-41.92%
DC Draw (>28%)	22	+$191.70	+87.14%	+$225.21	+40.5%	+$188.26	+88.07%
DC Over 2.5 Value	13	−$11.90	-9.15%	−$22.03	-52.41%	−$9.08	-6.93%
DC BTTS Value	7	+$4.60	+6.57%	−$13.71	-52.43%	+$5.97	+8.71%

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
Shanghai Shenhua	1.37	1.29	1.4	0.94	14	15
Shandong Taishan	1.37	0.93	1.11	1.09	14	15
Yunnan Yukun	1.29	1.04	1.21	1.51	14	15
Beijing Guoan	1.13	0.93	1.4	0.68	14	15
Chengdu Rongcheng	1.17	0.77	1.04	0.77	15	14
Zhejiang	1.21	1.14	1.01	1.21	14	15
Shanghai Port	0.97	0.67	1.26	0.87	14	15
Dalian Yingbo	1.05	0.88	0.97	0.98	14	15
Wuhan Three Towns	0.83	1.16	1.14	1.25	15	14
Liaoning Tieren	0.98	1.3	0.78	1.01	15	14
Shenzhen Peng City	1.02	0.97	0.62	1.25	15	14
Tianjin Jinmen Tiger	0.83	1.11	0.88	0.48	15	14
Henan	0.72	0.87	0.98	0.97	15	14
Qingdao Hainiu	0.73	1.35	0.77	1.36	14	15
Qingdao West Coast	0.68	0.68	0.72	0.97	15	14
Chongqing Tonglianglong	0.75	0.87	0.57	0.65	15	14

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.

1Beijing Guoan

1618

2Shanghai Port

1587

3Dalian Yingbo

1571

4Shandong Taishan

1562

5Tianjin Jinmen Tiger

1537

6Shanghai Shenhua

1530

7Chengdu Rongcheng

1522

8Qingdao West Coast

1519

9Yunnan Yukun

1502

10Zhejiang

1490

11Chongqing Tonglianglong

1460

12Henan

1460

13Shenzhen Peng City

1458

14Wuhan Three Towns

1432

15Liaoning Tieren

1416

16Qingdao Hainiu

1336

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	Beijing Guoan vs Qingdao Hainiu

Elo Rating History — Top 6

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

Beijing GuoanShanghai PortDalian YingboShandong TaishanTianjin Jinmen TigerShanghai Shenhua

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	Beijing Guoan	1618	1618	+118	29	14	10	5
2	Shanghai Port	1587	1587	+87	29	13	8	8
3	Dalian Yingbo	1571	1571	+71	29	15	4	10
4	Shandong Taishan	1562	1562	+62	29	15	5	9
5	Tianjin Jinmen Tiger	1537	1556	+37	29	11	8	10
6	Shanghai Shenhua	1530	1582	+30	29	14	5	10
7	Chengdu Rongcheng	1522	1640	+22	29	15	7	7
8	Qingdao West Coast	1519	1555	+19	29	8	15	6
9	Yunnan Yukun	1502	1520	+2	29	11	7	11
10	Zhejiang	1490	1527	-10	29	11	6	12
11	Chongqing Tonglianglong	1460	1570	-40	29	8	12	9
12	Henan	1460	1532	-40	29	8	10	11
13	Shenzhen Peng City	1458	1500	-42	29	9	5	15
14	Wuhan Three Towns	1432	1500	-68	29	5	12	12
15	Liaoning Tieren	1416	1504	-84	29	8	5	16
16	Qingdao Hainiu	1336	1524	-164	29	6	3	20

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%)	63	14	22%	−$138.70	-22.02%
Elo Favourite	76	29	38%	−$210.10	-27.64%
Elo Home Pick (>55%)	14	9	64%	−$1.90	-1.36%
Elo Away Pick (>50%)	1	1	100%	+$3.60	+36%
Elo Draw (>28%)	34	13	38%	+$152.30	+44.79%

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%)	63	−$138.70	-22.02%	−$37.55	-72.25%	−$87.72	-13.99%
Elo Favourite	76	−$210.10	-27.64%	−$41.92	-52.52%	−$160.98	-21.13%
Elo Home Pick (>55%)	14	−$1.90	-1.36%	−$2.67	-40.89%	+$0.99	+0.71%
Elo Away Pick (>50%)	1	+$3.60	+36%	$0.00	0%	+$3.60	+36%
Elo Draw (>28%)	34	+$152.30	+44.79%	+$25.43	+20.24%	+$161.24	+46.29%

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.

CSL China 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 — Chengdu Rongcheng vs Dalian Yingbo

Poisson / Correct Score

Select Match

Dixon-Coles Score Matrix — Yunnan Yukun vs Wuhan Three Towns

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