Our data team logged 87,863 football tips in September 2026, submitted by 515 active tipsters across 561 leagues worldwide. Tipsters posted an average of 2,929 tips per day, and the platform graded 86,990 of those tips, finishing the month with a global win rate of 50.9% at average odds of 2.18. The most tipped competition was the EFL Championship – 2026/27 – Regular Season, which drew 2,364 tips on its own. Every tip on the platform gets tracked and graded by our team of data managers, working around the clock to keep the numbers accurate.
This report is strictly for informational and educational purposes. It serves as a statistical showcase of market trends and historical performance within the sports betting niche and does not constitute financial advice or a recommendation to place specific bets. Past performance is not indicative of future results. We encourage all readers to view this data as a retrospective market analysis rather than a call to action. Please gamble responsibly and only bet what you can afford to lose.
Upset 20
This list highlights the 20 most unexpected results of the month. We looked at every football match and identified where the winner had the highest odds—meaning they were the least likely to win according to the bookmakers. The higher the odds in the ‘Winner Odds’ column, the bigger the surprise.
Consensus Flops
The wisdom of the crowd isn’t always wise. This table highlights the Top 20 ‘Traps’ of the month—matches where an overwhelming majority of our tipsters (at least 85%) backed one team, only to see that bet fail. These results serve as a reminder: just because ‘everyone’ is betting on a favorite, it doesn’t guarantee a win. Use this to see which teams let the public down the most.
League Volatility
This section analyzes which tournaments were the most unpredictable this month. We rank them based on the Average Winning Odds – the higher this number, the more often the ‘less likely’ outcome occurred. We also show the Upset Rate (how often the favorite failed to win) and Draw Rate to give you a complete picture of why these specific leagues were so difficult to forecast.
| Tournament | Matches Analyzed | Avg Winning Odds | Upset Rate | Draw Rate |
|---|---|---|---|---|
| NIFL Championship – 2026/27 – Regular Season | 18 | 3.40 | 61.1% | 27.8% |
| Armenian First League – 2026/27 – Regular Season | 15 | 3.39 | 66.7% | 26.7% |
| Division 3 – 2026 – Group D | 16 | 3.26 | 43.8% | 18.8% |
| Ykkösliiga – 2026 – Regular Season | 17 | 3.24 | 58.8% | 41.2% |
| Saudi Pro League – 2026/27 – Regular Season | 28 | 3.15 | 50.0% | 32.1% |
| Ukrainian First League – 2026/2027 – Regular Season | 15 | 3.10 | 80.0% | 33.3% |
| English Premier League – 2026/27 – Regular Season | 30 | 3.10 | 63.3% | 40.0% |
| Primera B – 2026 – Clausura | 33 | 3.07 | 54.5% | 27.3% |
| Major League Soccer – 2026 – Regular Season | 73 | 3.04 | 60.3% | 30.1% |
| Superliga – 2026/27 – Regular Season | 20 | 3.03 | 65.0% | 30.0% |
Most Tipped Clubs
This table lists the 20 clubs that generated the most betting action this month. We break down their activity to show you how often they were tipped (Total Tips), the average odds offered on their matches, and most importantly, the success rate. You can easily compare the club’s actual form (Team Wins) with the success of the predictions made on them (Tip Win %), helping you identify the most reliable teams to back.
| Club | Total Matches | Tips | Home Tips | Away Tips | Average Odds | Team Wins | Winning Tips | Tip Win % |
|---|---|---|---|---|---|---|---|---|
| Real Madrid | 5 | 446 | 188 | 258 | 1.40 | 3 | 252 | 56.5% |
| Liverpool | 5 | 438 | 254 | 184 | 1.67 | 4 | 320 | 73.1% |
| Real Betis | 5 | 424 | 218 | 206 | 3.79 | 4 | 102 | 24.1% |
| Arsenal | 5 | 391 | 74 | 317 | 1.60 | 4 | 321 | 82.1% |
| Paris Saint Germain | 4 | 353 | 246 | 107 | 1.23 | 3 | 221 | 62.6% |
| Barcelona | 5 | 351 | 186 | 165 | 1.16 | 5 | 345 | 98.3% |
| Villarreal | 5 | 350 | 149 | 201 | 2.23 | 2 | 232 | 66.3% |
| Manchester City | 5 | 339 | 162 | 177 | 1.52 | 5 | 298 | 87.9% |
| Ipswich | 4 | 319 | 213 | 106 | 5.34 | 1 | 229 | 71.8% |
| Atletico Madrid | 5 | 308 | 100 | 208 | 3.03 | 3 | 201 | 65.3% |
| Aston Villa | 5 | 301 | 58 | 243 | 2.42 | 3 | 92 | 30.6% |
| Crystal Palace | 5 | 295 | 212 | 83 | 2.28 | 3 | 139 | 47.1% |
| Manchester United | 5 | 294 | 195 | 99 | 1.88 | 1 | 154 | 52.4% |
| Sunderland | 5 | 291 | 198 | 93 | 4.28 | 2 | 215 | 73.9% |
| Chelsea | 4 | 288 | 128 | 160 | 2.57 | 1 | 133 | 46.2% |
| West Ham | 6 | 285 | 179 | 106 | 1.88 | 4 | 192 | 67.4% |
| Inter | 4 | 282 | 115 | 167 | 3.25 | 2 | 234 | 83.0% |
| Real Sociedad | 5 | 281 | 185 | 96 | 2.62 | 2 | 125 | 44.5% |
| Millwall | 6 | 270 | 173 | 97 | 4.01 | 1 | 96 | 35.6% |
| Napoli | 4 | 269 | 188 | 81 | 3.97 | 1 | 227 | 84.4% |
Tipster Leaderboards
This leaderboard ranks our top tipsters not just by total cash won, but by efficiency. The key metric here is ROI (Return on Investment), which tells you how much profit a tipster generates for every unit wagered. A high ROI means they are beating the bookies consistently, not just getting lucky with one massive bet. We also list their Average Odds alongside their Win Rate to reveal their style: notice how some ‘Sharpshooters’ maintain a high win rate on safer bets, while ‘Value Hunters’ might win less often but target much higher odds to generate massive profit. We have filtered this list to include only those with a significant number of bets to ensure these results are skill, not luck.
| Tipster | Total Bets | Leagues Played | Win Rate | Avg Odds | Total Profit | ROI % |
|---|---|---|---|---|---|---|
| Oliver Green | 31 | 4 | 67.7% | 2.44 | 21.0746 | 67.98% |
| Nazar Cherkovskij | 15 | 4 | 80.0% | 2.23 | 9.3682 | 62.45% |
| Carsten Rasmussen | 12 | 1 | 58.3% | 2.41 | 6.7221 | 56.02% |
| ensigame | 16 | 11 | 75.0% | 1.93 | 8.6750 | 54.22% |
| footystats | 14 | 7 | 78.6% | 1.88 | 6.9818 | 49.87% |
| Sridhar Bhamidi | 12 | 8 | 75.0% | 2.10 | 5.6902 | 47.42% |
| Tim Bakker | 13 | 1 | 61.5% | 2.46 | 5.6172 | 43.21% |
| Alex Wrigley | 29 | 16 | 58.6% | 2.69 | 12.0643 | 41.60% |
| Sam Varley | 18 | 9 | 66.7% | 2.07 | 7.4788 | 41.55% |
| Anthony Nolan | 28 | 10 | 67.9% | 2.27 | 11.4097 | 40.75% |
| Soccer Tips | 13 | 10 | 84.6% | 2.91 | 5.0972 | 39.21% |
| Adam Clancy | 21 | 10 | 66.7% | 2.53 | 8.0594 | 38.38% |
| Sebouh Babikian | 32 | 10 | 59.4% | 2.58 | 11.2572 | 35.18% |
| Marko Rudyk | 15 | 5 | 60.0% | 2.60 | 5.2571 | 35.05% |
| MetaPred | 40 | 13 | 72.5% | 1.94 | 13.7859 | 34.46% |
| Peter Green | 15 | 8 | 66.7% | 2.00 | 4.9869 | 33.25% |
| Oliver Thomas | 23 | 8 | 56.5% | 2.55 | 7.1949 | 31.28% |
| tipstrike | 40 | 15 | 52.5% | 3.04 | 12.4971 | 31.24% |
| Ball Prediction | 45 | 25 | 66.7% | 2.50 | 13.5321 | 30.07% |
| LiveTipsPortal | 29 | 15 | 65.5% | 2.32 | 8.6149 | 29.71% |
| Peter Morris | 20 | 11 | 60.0% | 2.42 | 5.9053 | 29.53% |
| Kelechi Udoka | 21 | 5 | 66.7% | 2.20 | 6.1463 | 29.27% |
| Matthew Cooper | 15 | 3 | 53.3% | 2.62 | 4.2222 | 28.15% |
| Stephen | 13 | 4 | 61.5% | 2.30 | 3.6418 | 28.01% |
| LiveTipsPortal Community Voting | 34 | 15 | 73.5% | 1.88 | 9.4525 | 27.80% |