In January 2026, our Data Team collected 88,496 tips overall from 580 active tipsters. The tips in this report has been monitored 24/7 by our professional team of data managers during the whole month to deliver this complete analytical digest so you can have a look on the biggest upsets and tipster rankings. Make sure to follow out dedicated football predictions page daily for the upcoming events and predictions from 1000+ sources we montior over here at TipsGG!
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 | Average Winning Odds | Upset Rate | Draw Rate |
|---|---|---|---|---|
| Jamaica Premier League 2025/26 Regular Season | 26 | 5.32 | 65.4% | 50.0% |
| Eerste Divisie 2025/26 Regural Season | 30 | 3.44 | 70.0% | 33.3% |
| Eredivisie 2025/26 Regular Season | 30 | 3.37 | 56.7% | 33.3% |
| Tweede Divisie 2025/26 Regular Season | 29 | 3.31 | 75.9% | 27.6% |
| Super League 2 2025/26 North Group | 15 | 3.27 | 40.0% | 20.0% |
| A-League Men 2025/26 Regular Season | 31 | 3.23 | 67.7% | 22.6% |
| Campionato Primavera 1 2025/26 Regular Season | 15 | 3.23 | 80.0% | 46.7% |
| Campeonato Mineiro Modulo I 2026 Regular Season | 24 | 3.19 | 62.5% | 33.3% |
| Süper Lig 2025/26 Regular Season | 24 | 3.18 | 58.3% | 45.8% |
| Pro League 2025/26 Regular Season | 20 | 3.18 | 70.0% | 25.0% |
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 | Total Tips | Average Odds | Team Wins | Winning Tips | Tip Win % |
|---|---|---|---|---|---|---|
| Arsenal | 6 | 434 | 1.70 | 5 | 295 | 68.0% |
| Barcelona | 5 | 379 | 1.41 | 4 | 296 | 78.1% |
| Real Madrid | 5 | 368 | 2.09 | 2 | 150 | 40.8% |
| Athletic Bilbao | 6 | 364 | 3.84 | 2 | 143 | 39.3% |
| Nottingham Forest | 5 | 358 | 3.03 | 2 | 146 | 40.8% |
| Chelsea | 5 | 355 | 2.40 | 3 | 169 | 47.6% |
| Bologna | 5 | 328 | 3.29 | 2 | 200 | 61.0% |
| Bayern Munich | 5 | 325 | 1.44 | 4 | 256 | 78.8% |
| Leeds | 4 | 310 | 4.66 | 1 | 172 | 55.5% |
| Liverpool | 4 | 301 | 3.03 | 1 | 69 | 22.9% |
| Marseille | 5 | 298 | 2.71 | 2 | 111 | 37.2% |
| Milan | 4 | 294 | 2.16 | 2 | 147 | 50.0% |
| Tottenham | 4 | 292 | 2.40 | 1 | 137 | 46.9% |
| Roma | 4 | 285 | 2.14 | 2 | 163 | 57.2% |
| Braga | 6 | 279 | 1.96 | 2 | 49 | 17.6% |
| West Brom | 5 | 278 | 2.53 | 1 | 97 | 34.9% |
| Aston Villa | 4 | 273 | 2.67 | 3 | 66 | 24.2% |
| Manchester City | 4 | 270 | 1.81 | 1 | 59 | 21.9% |
| Atletico Madrid | 4 | 268 | 1.80 | 1 | 78 | 29.1% |
| Real Betis | 4 | 261 | 3.59 | 0 | 91 | 34.9% |
Tispter 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 | Average Odds | Total Profit | ROI |
|---|---|---|---|---|---|---|
| Deniz Kaplan | 14 | 1 | 57.1 | 2.66 | 7.3 | 52.14 |
| Peter Morris | 19 | 4 | 63.2 | 2.43 | 8.4 | 44.21 |
| Andy Delaney | 27 | 8 | 66.7 | 2.13 | 10.4 | 38.52 |
| Carter White | 24 | 6 | 62.5 | 2.41 | 9.2 | 38.33 |
| Soccer Tips | 38 | 16 | 73.7 | 1.84 | 13.7 | 36.05 |
| Simon Lewis | 15 | 3 | 46.7 | 2.56 | 5.2 | 34.67 |
| Alan Johnson | 37 | 5 | 59.5 | 2.39 | 12.6 | 34.05 |
| Kingsley Kobo | 12 | 9 | 66.7 | 1.97 | 4.0 | 33.33 |
| Harry Evans | 34 | 4 | 61.8 | 2.30 | 11.0 | 32.35 |
| Benjamin Bloom | 20 | 2 | 65.0 | 2.15 | 6.4 | 32.00 |
| Matt SB | 106 | 5 | 54.7 | 2.49 | 32.2 | 30.38 |
| Ryan Allan | 35 | 11 | 62.9 | 2.08 | 10.5 | 30.00 |
| Lewis Nolan | 25 | 8 | 56.0 | 2.58 | 7.5 | 30.00 |
| Kyle Kargel | 13 | 1 | 76.9 | 1.68 | 3.9 | 30.00 |
| FootballPredictions | 14 | 9 | 57.1 | 2.44 | 4.0 | 28.57 |
| Lorenzo Bianchi | 45 | 3 | 57.8 | 2.29 | 12.7 | 28.22 |
| Artur Malkin | 15 | 8 | 66.7 | 1.95 | 4.2 | 28.00 |
| Barry White | 12 | 1 | 33.3 | 3.72 | 3.3 | 27.50 |
| Chris Sutton | 16 | 1 | 43.8 | 2.35 | 4.3 | 26.88 |
| Miracle O. Nwoke | 28 | 9 | 64.3 | 2.20 | 7.4 | 26.43 |
| Nikola Lalic | 13 | 8 | 69.2 | 1.73 | 3.2 | 24.62 |
| John Eastwood | 13 | 4 | 69.2 | 2.00 | 3.1 | 23.85 |
| Mark Langdon | 21 | 7 | 66.7 | 1.99 | 4.9 | 23.33 |
| Plat Chat VALORANT | 21 | 4 | 71.4 | 1.65 | 4.8 | 22.86 |
| Phil Agius | 13 | 4 | 46.2 | 2.69 | 2.7 | 20.77 |