Model probabilities for every upcoming match — 1X2, BTTS, Over 2.5 & correct score — refreshed daily
Under 2.5 goals 60.1%
Match result
Core markets
Over 2.5 goals @ 2.87 model 39.9% vs 34.8% implied +5.1%
Over 2.5 Goals undervalued
Our model shows a +6.75% edge for Over 2.5 goals (odds 3.01). Barracas Central’s matches go over 2.5 in 45% of home games, while Argentinos Juniors do so in 36% of away games. In the last five fixtures each side has hit the over‑2.5 line only twice, yet the combined scoring average (≈2.1 goals) suggests the market is undervalued.
Deportes Limache to win 56.8%
Match result
Core markets
Under 2.5 goals @ 2.70 model 41.5% vs 37% implied +4.5%
Goal feast expected – Over 2.5 goals
Our model flags a -6.0% value edge for Over 2.5 goals. Limache’s matches go over 2.5 goals in 80% of home games, while Cobresal does so in 70% of away games. Moreover, four of the last five encounters featured more than two goals. The combination of high season‑long over‑2.5 rates and recent scoring trends supports the value.
Over 2.5 goals 67.9%
Match result
Core markets
Nõmme United to win @ 5.25 model 20.8% vs 19% implied +1.8%
Home win offers +12% value
Our model rates a home victory at 57% versus an implied 69% from the odds, creating a 12% value edge. The home side has won just 46% of its league matches at home and only one of its last five fixtures, yet the model still sees a strong chance, suggesting the market is undervaluing this result.
Over 2.5 goals 72.9%
Match result
Core markets
HIFK to win @ 3.50 model 34.8% vs 28.6% implied +6.2%
Away win offers +7% value edge
Our model shows a +7.03% value edge for an away win (odds 3.6 imply 27.78% chance). HIFK have only a 40% win rate away this season and managed just one victory in their last five outings, indicating they are undervalued despite modest recent form.
Over 2.5 goals 76.5%
Match result
Core markets
Under 2.5 goals heavily overpriced
The model rates the chance of fewer than 2.5 goals at 23.46% while the market implies 34.72%, giving a -11.26% value edge. Both clubs exceed 2.5 goals in virtually every home/away match this season (home side 100% of home games, visitor 90% of away games). Their recent head‑to‑head meetings have averaged 2.8 goals and three of the five games went over 2.5, underscoring the low likelihood of an under‑2.5 result.
Over 2.5 goals 76.6%
Match result
Core markets
Kiffen to win @ 1.90 model 62.2% vs 52.6% implied +9.6%
Draw looks unlikely – odds overpriced
Our model rates a draw at only 17.3% while the market implies 23.1%, a -5.78% value gap. Kiffen have not drawn in their last five matches and Atlantis have managed just one draw in the same span. The head‑to‑head record shows only one draw in five meetings. Together the data suggest a draw is both rare and poorly priced.
Under 2.5 goals 57.4%
Match result
Core markets
Santos to win @ 2.35 model 50.4% vs 42.6% implied +7.8%
Home win offers +8% value edge
Our model rates a home win at 50.38% versus the market implied 42.37%, giving an +8.01% value. Santos have won 60% of their home games this season and are unbeaten in their last match, reinforcing the upside.
Under 2.5 goals 53.7%
Match result
Core markets
Under 2.5 goals @ 2.07 model 53.7% vs 48.3% implied +5.4%
Home win odds too short
Our model rates a Daejeon win at 48.7% while the 1.6 odds imply 62.5%, giving a –13.8% value gap. Yet Daejeon have won 4 of their last 5 home games, scoring 14 and conceding 6 in that span, showing strong home form. The combination suggests the market overprices the home win.
Both teams to score 64.9%
Match result
Core markets
Over 2.5 goals @ 1.75 model 62.3% vs 57.1% implied +5.2%
Over 2.5 goals offers solid value
Our model shows a +5.12% value edge for Over 2.5 goals. The home side’s matches have exceeded 2.5 goals in 64% of its home games this season, and the visitors have done the same in 64% of their away fixtures. The last five head‑to‑head meetings averaged 2.6 goals and produced over 2.5 goals twice, indicating a likely high‑scoring encounter.
Over 2.5 goals 63.2%
Match result
Core markets
Helsingborg to win @ 4.00 model 28.9% vs 25% implied +3.9%
Home win odds too short
Our model rates a home win probability of 47.34%, while the market implies 54.95%, giving a -7.6% value edge. Landskrona have won only 30% of their home games this season and have failed to win any of the last five head‑to‑head meetings (0 home wins). Their recent five‑match run is unbeaten but only two wins, underscoring the limited upside of the current odds.
Over 2.5 goals 65.6%
Match result
Core markets
Orlando City to win @ 3.10 model 32.9% vs 32.3% implied +0.6%
BTTS offers an 8% value edge
Our model rates both teams scoring at 65.2% with odds implying 73.5%, creating an -8.32% value gap. Atlanta’s matches feature BTTS in 64% of games (73% at home) and Orlando in 68% overall. Both sides have produced BTTS in four of Atlanta’s last five and five of Orlando’s last five fixtures. The last five head‑to‑head meetings saw BTTS in three games, reinforcing the likelihood.
Both teams to score 57.5%
Match result
Core markets
Columbus Crew to win @ 2.50 model 42.7% vs 40% implied +2.7%
BTTS Yes overvalued despite high BTTS rates
Our model rates Both Teams to Score at 56.6% versus the market implied 64.5%, giving a -7.9% value edge. Yet DC United’s matches feature BTTS in 59% overall (64% at home) and Columbus shows BTTS in 77% overall (91% in away games). The disparity suggests the odds are too generous for BTTS, so consider avoiding this market.
Philadelphia Union to win 57%
Match result
Core markets
Under 2.5 goals @ 3.10 model 42.5% vs 32.3% implied +10.2%
Under 2.5 Goals offers +11% edge
Our model shows a +10.90% value edge for the Under 2.5‑goals market (model rating 43.47% vs implied 32.57%). Philadelphia’s matches go over 2.5 goals in only 50% of home games, while Cincinnati exceeds 2.5 goals in 73% of away fixtures. Both clubs’ season‑long over‑2.5 rates (64% and 68%) are modest, and the head‑to‑head meetings have averaged 4 goals, yet the model still favours a low‑scoring outcome.
Both teams to score 63.9%
Match result
Core markets
Over 2.5 goals @ 1.66 model 62.2% vs 60.2% implied +2%
BTTS likely – modest value edge
Our model shows a +1.73% edge for Both Teams to Score. NYC have been involved in BTTS in 4 of their last 5 matches, while New England have 4 BTTS in their last 5. The recent head‑to‑head meetings produced BTTS three times out of five. This convergence of model edge and recent BTTS frequency suggests a worthwhile BTTS bet.
Both teams to score 66.6%
Match result
Core markets
Under 2.5 goals @ 3.60 model 33.4% vs 27.8% implied +5.6%
Over 2.5 Goals – strong value
Our model flags a -12.66% value edge for Over 2.5 goals (model rating 65.47% vs implied 78.13%). Chicago Fire’s home games go over 2.5 in 80% of matches and Inter Miami’s away games do so in 75%. The last five head‑to‑head meetings produced over 2.5 goals in four games (80%) and averaged 4.2 goals per match, reinforcing the scoring trend.
Both teams to score 57%
Match result
Core markets
BTTS: No @ 2.62 model 43% vs 38.2% implied +4.8%
Away win offers hidden value
Our model shows a -6.33% value edge for an away victory. St. Louis City have gone unbeaten in their last five matches and have not lost any of those games, while Portland have only won two of their last five at home and struggle to lead at halftime (they win the half‑time battle just 18% of the time). This contrast suggests the odds for an away win are overpriced.
Vancouver Whitecaps to win 61.9%
Match result
Core markets
LA Galaxy to win @ 8.00 model 18.9% vs 12.5% implied +6.4%
Galaxy away win offers +5.9% value
Our model assigns a +5.89% edge to an LA Galaxy victory. The Galaxy have won just 25% of their away games this season and average only 1.33 goals on the road, yet they recorded two wins in their last five away outings. The combination of modest away form and a positive model edge suggests the bookmakers are undervaluing a Galaxy upset.
Under 2.5 goals 58.8%
Match result
Core markets
Over 2.5 goals @ 2.50 model 41.2% vs 40% implied +1.2%
Under 2.5 goals – low‑scoring clash
Our model shows a -6.23% value edge for Under 2.5 goals (model rating 59.13% vs implied 65.36%). The last five meetings averaged just 1.6 goals and only one went over 2.5. Vila Nova’s season matches end under 2.5 in 58% of games and Goiás in 69%, reinforcing the low‑scoring outlook.
Both teams to score 54.4%
Match result
Core markets
Montevideo City Torque to win @ 6.50 model 30.2% vs 15.4% implied +14.8%
Torque's away win offers +12% edge
Our model assigns a 30.24% chance to Montevideo City Torque winning, while the odds imply only 17.86%, creating a +12.38% value edge. Torque have won four of their last five matches overall and three of their last five away games, with a 50% away win rate this season. Cienciano, by contrast, have managed just one win in their previous five encounters and have struggled to score, netting only seven goals while conceding ten. The combination of Torque’s strong recent form and the model’s higher win probability makes the away win a compelling value bet.
Both teams to score 53.9%
Match result
Core markets
Mjällby to win @ 5.00 model 28.3% vs 20% implied +8.3%
Value on Mjällby to upset Häcken
Our model assigns a +5.03% edge to an away win (odds 4.30, implied 23.26% vs model 28.29%). Mjällby have lost all five of their recent matches, scoring just one goal while conceding 14, and have earned zero points in that span. The combination of a sizable value edge and the stark recent form makes the away win a tempting outlier bet.
South Hobart W to win 84%
Match result
Core markets
South Hobart W to win @ 11.00 model 84% vs 9.1% implied +74.9%
Home Win Value Edge
Our model shows a +74.9% value edge for a South Hobart win, far exceeding the implied 9% chance from the 11.0 odds. South Hobart have won 64% of their home games this season and 73% of those matches go over 2.5 goals. They also beat Launceston City 6‑0 in their only recent head‑to‑head, a game with six goals. The combination of the massive model edge, strong home form and historic dominance makes the home win a clear value bet.
Over 2.5 goals 71.2%
Match result
Core markets
Nõmme United to win @ 3.80 model 26.4% vs 26.3% implied +0.1%
Over 2.5 goals likely but odds short
Our model rates the match at a 71.20% chance of over 2.5 goals versus an implied 78.13% from the market, creating a -6.93% value gap. Nõmme United’s games go over 2.5 goals in 92% of their home fixtures and Flora do so in 83% of their away outings, indicating a strong likelihood of a high‑scoring encounter despite the market overpricing it.
Over 2.5 goals 67.2%
Match result
Core markets
Vålerenga to win @ 3.60 model 34.2% vs 27.8% implied +6.4%
Home win over‑priced despite shaky form
Our model shows a -11.59% value edge for a Home win, meaning the odds (1.86) overprice Lillestrøm. They have won only 44% of their home games this season and just 2 of their last 5 at Åråsen. In the head‑to‑head, Lillestrøm lead 3‑2 but the five meetings average 3.4 goals, indicating the contest can be tight. The combination of low home win rate and modest recent form suggests the market is too generous on a home victory.
No matches for these filters.
Allsvenskan Argentina Liga Profesional Brazil Serie A Brazil Serie B Bundesliga Championship EFL League One EFL League Two Eliteserien Ireland Premier Division J1 League K League 1 La Liga Ligue 1 MLS Netherlands Eredivisie Premier League Saudi Pro League Serie A UEFA Champions League USL Championship
Every probability on this page is produced by our AI model. It combines team form, expected goals (xG), goal-timing data, head-to-head records and live bookmaker odds to price every outcome of every covered match.
For every fixture we publish the model's strongest call, win/draw/away probabilities, BTTS and Over 2.5 probabilities, the most likely scorelines, and a Value Edge where the model disagrees with the bookmaker's pricing.
Predictions refresh multiple times per day — when fixtures are first published, when odds move materially, and again in the hours before kick-off. The Last Updated stamp above always reflects the most recent refresh.
Each prediction is generated by combining team form, expected goals (xG), historical scoring trends, head-to-head data and current bookmaker odds across the leagues we cover. The model is re-run every few hours, so the predictions on this page always reflect the latest market and team data.
BTTS (Both Teams To Score) probability is the model's estimated chance that both sides will score at least one goal. A BTTS probability above 60% is treated as a strong signal; below 45% is weak. You can compare BTTS trends across leagues on our BTTS statistics page.
Value Edge is the gap between our AI's probability for an outcome and the bookmaker's implied probability from the odds. A positive Value Edge means the bookmaker is pricing the outcome lower than our model expects, which is what we flag as a value bet.
Our model is back-tested on tens of thousands of historical football matches and is regularly recalibrated. Accuracy varies by market — main result markets sit around industry benchmarks, while BTTS and Over 2.5 markets tend to score higher. No prediction is guaranteed; we recommend pairing them with our value bets and dropping odds tools before staking.
Predictions refresh multiple times per day — when fixtures are first published, when bookmaker odds move materially, and again in the hours before kick-off. The Last Updated timestamp at the top of the page reflects the most recent refresh.
Yes. The top insight for every fixture is free to view. OddAlerts Pro members also get access to additional insights per match, custom filters, and the full AI match report.
Betting Guides Value Bets Football Trends Corner Predictions Correct Score Form Guide xG Stats Custom Filters
OddAlerts is a football analytics platform providing AI-powered predictions since 2020. Our prediction model is developed by sports data scientists and continuously refined using machine learning techniques. We analyze over 100,000 matches annually across 2,500+ leagues to provide the most accurate and valuable insights. Discover trends, explore custom filters, or join thousands using our alert system.
