Soccer Patterns - 2025/2026

Soccer pattern radar for 2025/2026 - All Leagues. Analyze HT/FT, goal trends, BTTS, clean sheets and scoring consistency by team. Venue: All venues. Window: Full season.

Soccer Pattern Radar
Choose a season, league, venue split and match window to scan HT/FT, goal volume, BTTS and scoring consistency. Signal balances rate with sample size.

How Soccer Pattern Analysis Works

This page helps you identify repeatable football patterns by combining historical match results, HT/FT behavior and scoring profiles. Pattern analysis is one of the most widely used methods in world football analytics, especially when you want to evaluate whether a team or league is producing consistent outcomes over time.

By reviewing previous match data and old odds behavior together, you can detect stronger structural signals than using scorelines alone. To serve our users from every angle, we apply multiple analytical methods and process them with AI-powered models, then refine the output with our expert team for practical, decision-ready insights.

HT/FT Pattern Set
Reset
HT/FT Radar Team-perspective half-time/full-time outcomes such as 1/2, 2/1 and X/X.
Goals Radar O2.5, BTTS, clean sheet and failed-to-score rates from finished matches.
Signal Control Every signal is weighted by sample size to reduce noisy small-sample traps.
HT/FT Team Radar - All venues / Full season
Team League Hits Total Rate Signal
Aktobe Kazakhstan - Premier League 26 26 100.0% Strong 100.0
Al Ahli Jordan - Premier League 18 18 100.0% Strong 100.0
Al Ahli Doha Qatar - Stars League 19 19 100.0% Strong 100.0
Al Ahli Jeddah Saudi Arabia - Professional League 25 25 100.0% Strong 100.0
Al Ahli M. Bahrain - Premier League 15 15 100.0% Strong 95.5
Al Ain UAE - Pro League 18 18 100.0% Strong 100.0
Al Akhdoud Saudi Arabia - Professional League 26 26 100.0% Strong 100.0
Al Arabi Saudi Arabia - Division 1 20 20 100.0% Strong 100.0
Al Arabi SC Kuwait - Premier League 14 14 100.0% Strong 91.0
Al Bataeh UAE - Pro League 18 18 100.0% Strong 100.0
Al Bidda Qatar - Division 2 10 10 100.0% Strong 73.0
Al Buqaa Jordan - Premier League 18 18 100.0% Strong 100.0
Al Dhafra UAE - Pro League 18 18 100.0% Strong 100.0
Al Duhail Qatar - Stars League 19 19 100.0% Strong 100.0
Al Fahaheel Kuwait - Premier League 14 14 100.0% Strong 91.0
Al Fateh Saudi Arabia - Professional League 25 25 100.0% Strong 100.0
Al Faysali Jordan - Premier League 17 17 100.0% Strong 100.0
Al Feiha Saudi Arabia - Professional League 25 25 100.0% Strong 100.0
Al Gharafa Qatar - Stars League 18 18 100.0% Strong 100.0
Al Hazm Saudi Arabia - Professional League 25 25 100.0% Strong 100.0
Al Hilal Saudi Arabia - Professional League 25 25 100.0% Strong 100.0
Al Hussein Jordan - Premier League 16 16 100.0% Strong 100.0
Al Ittifaq Saudi Arabia - Professional League 26 26 100.0% Strong 100.0
Al Ittihad Saudi Arabia - Professional League 25 25 100.0% Strong 100.0
Al Jahra Kuwait - Premier League 14 14 100.0% Strong 91.0
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Goals & Scoring Radar - All venues / Full season
Team League M O2.5 BTTS CS FTS 2+ GF 2+ GA Signal
Wolfsburg W Germany - Bundesliga Women 17 94.1% 94.1% 5.9% 0.0% 82.4% 29.4% Attack 92.2
Grossaspach Germany - Regionalliga Sudwest 23 87.0% 82.6% 13.0% 4.3% 87.0% 43.5% Attack 86.8
Eimsbutteler Germany - Oberliga Hamburg 22 86.4% 86.4% 13.6% 4.5% 81.8% 27.3% Attack 86.5
H. Kralove U19 CzechRepublic - U19 League 16 87.5% 81.3% 12.5% 6.3% 87.5% 31.3% Attack 86.5
Slavia P. U19 CzechRepublic - U19 League 18 94.4% 83.3% 16.7% 0.0% 72.2% 61.1% Attack 86.2
Pirmasens Germany - Oberliga Rheinland-P/S 22 90.9% 77.3% 22.7% 0.0% 86.4% 40.9% Attack 86.1
Zlate Moravce Slovakia - 2. Liga 20 85.0% 95.0% 5.0% 0.0% 65.0% 45.0% Attack 86.0
Grand-Saconnex Switzerland - Promotion League 21 85.7% 95.2% 4.8% 0.0% 61.9% 76.2% Attack 85.6
Bayern Munich Bundesliga 26 100.0% 61.5% 38.5% 0.0% 96.2% 34.6% Attack 85.3
Throttur R. Iceland - 1. Deild 22 81.8% 90.9% 9.1% 0.0% 72.7% 45.5% Attack 85.3
Freiburg B Germany - Regionalliga Sudwest 23 95.7% 87.0% 4.3% 8.7% 60.9% 73.9% Attack 85.1
VfR Neumunster Germany - Oberliga Schleswig H. 17 94.1% 82.4% 17.6% 0.0% 64.7% 52.9% Attack 84.1
Man Utd U21 England - Premier League 2 17 82.4% 88.2% 5.9% 5.9% 70.6% 23.5% Attack 83.8
Breidablik W Iceland - Besta deild Women 23 91.3% 69.6% 30.4% 0.0% 87.0% 34.8% Attack 83.6
Kortrijk U21 Belgium - U21 Pro League 16 87.5% 87.5% 12.5% 0.0% 62.5% 50.0% Attack 83.5
Peterb. U21 England - Professional Development League 25 88.0% 80.0% 20.0% 0.0% 72.0% 48.0% Attack 83.0
KFA Iceland - 2. Deild 22 77.3% 90.9% 4.5% 4.5% 68.2% 54.5% Attack 82.7
NEC Nijmegen Netherlands - Eredivisie 26 76.9% 80.8% 15.4% 3.8% 80.8% 46.2% Attack 81.8
Sunderland U21 England - Premier League 2 17 82.4% 82.4% 11.8% 5.9% 70.6% 76.5% Attack 81.7
FC Barcelona Spain - LaLiga 36 88.9% 69.4% 27.8% 2.8% 80.6% 30.6% Attack 81.3
Bournemouth U21 England - Professional Development League 24 91.7% 70.8% 20.8% 8.3% 75.0% 54.2% Attack 81.2
Diefflen Germany - Oberliga Rheinland-P/S 21 81.0% 90.5% 4.8% 4.8% 57.1% 61.9% Attack 81.2
PSV Eindhoven Netherlands - Eredivisie 27 81.5% 70.4% 25.9% 3.7% 88.9% 37.0% Attack 81.2
Paloma Germany - Oberliga Hamburg 27 85.2% 74.1% 18.5% 7.4% 77.8% 51.9% Attack 81.1
RAAL LL U21 Belgium - U21 Pro League 18 88.9% 77.8% 11.1% 11.1% 66.7% 66.7% Attack 80.9
O2.5 = total goals over 2.5. BTTS = both teams scored. CS = clean sheet. FTS = failed to score. GF/GA rates are team-perspective.
Hits = selected pattern matches in the selected venue and window split. Rate = hits / total finished matches. Signal = rate weighted by sample size, so small samples do not look stronger than stable trends.