Bet Statistics Predictions



Today's Tips Ranked

Tue 21 Jul 2026 • by win probability

High Conf.
Goteborg vs Levadia
Over 1.5 Conference League Qualifier @1.18 6:00 pm
90%
prob
High Conf.
Shanghai Port vs Shenzhen Xinpengcheng
1X China FA Cup @1.12 12:00 pm
90%
prob
High Conf.
Mjallby vs Lincoln Red Imps
Over 2.5 UCL Qualifiers @1.44 5:00 pm
80%
prob
High Conf.
Fylkir vs Afturelding
Over 2.5 Icelandic Cup @1.38 8:30 pm
80%
prob
Solid Pick
Fenerbahce vs Gornik Zabrze
1 UCL Qualifiers @1.17 7:00 pm
60%
prob
Solid Pick
Pakhtakor vs Xorazm Urganch
1 Uzbekistan Super League @1.36 4:00 pm
50%
prob
Solid Pick
Santa Fe vs U. Magdalena
1 Copa Colombia @1.33 9:00 pm
50%
prob

Tip Explainers

Click any question to see the data behind it

Goteborg vs Levadia Over 1.5
Our model assigns a win probability of 90% to this outcome. Historically, Over 1.5 tips have settled at 72.9% over the last 90 days (48 tips graded). In Conference League Qualifier, our record stands at 100% over the same period. This pick is priced at approximately @1.18. These factors together support the recommendation.
72.9% on Over 1.5 90% probability 100% in Conference League Qualifier
Over the last 90 days, Over 1.5 tips have returned 35 wins from 48 settled tips (72.9%). This is above our site-wide average of 71.7%, indicating this market performs particularly well in our analysis.
Key team news is the most likely disruptor: confirmed absences of first-choice players, particularly the goalkeeper or main striker, can shift the probability significantly. Late lineup changes, pitch conditions, or updated injury reports published closer to kickoff should be checked before placing any bet. Odds movement at the bookmaker after publication may also signal late information entering the market.
Shanghai Port vs Shenzhen Xinpengcheng 1X
Our model assigns a win probability of 90% to this outcome. Historically, 1X tips have settled at 64.7% over the last 90 days (34 tips graded). This pick is priced at approximately @1.12. These factors together support the recommendation.
64.7% on 1X 90% probability
Over the last 90 days, 1X tips have returned 22 wins from 34 settled tips (64.7%). This is below our site-wide average of 71.7%. The recommendation is still made but with reduced confidence weighting.
Key team news is the most likely disruptor: confirmed absences of first-choice players, particularly the goalkeeper or main striker, can shift the probability significantly. Late lineup changes, pitch conditions, or updated injury reports published closer to kickoff should be checked before placing any bet. Odds movement at the bookmaker after publication may also signal late information entering the market.
Mjallby vs Lincoln Red Imps Over 2.5
Our model assigns a win probability of 80% to this outcome. Historically, Over 2.5 tips have settled at 70.3% over the last 90 days (64 tips graded). This pick is priced at approximately @1.44. These factors together support the recommendation.
70.3% on Over 2.5 80% probability
Over the last 90 days, Over 2.5 tips have returned 45 wins from 64 settled tips (70.3%). This is broadly in line with our site-wide average of 71.7%.
Key team news is the most likely disruptor: confirmed absences of first-choice players, particularly the goalkeeper or main striker, can shift the probability significantly. Late lineup changes, pitch conditions, or updated injury reports published closer to kickoff should be checked before placing any bet. Odds movement at the bookmaker after publication may also signal late information entering the market.
Fylkir vs Afturelding Over 2.5
Our model assigns a win probability of 80% to this outcome. Historically, Over 2.5 tips have settled at 70.3% over the last 90 days (64 tips graded). This pick is priced at approximately @1.38. These factors together support the recommendation.
70.3% on Over 2.5 80% probability
Over the last 90 days, Over 2.5 tips have returned 45 wins from 64 settled tips (70.3%). This is broadly in line with our site-wide average of 71.7%.
Key team news is the most likely disruptor: confirmed absences of first-choice players, particularly the goalkeeper or main striker, can shift the probability significantly. Late lineup changes, pitch conditions, or updated injury reports published closer to kickoff should be checked before placing any bet. Odds movement at the bookmaker after publication may also signal late information entering the market.
Fenerbahce vs Gornik Zabrze 1
Our model assigns a win probability of 60% to this outcome. Historically, 1 tips have settled at 77.5% over the last 90 days (306 tips graded). This pick is priced at approximately @1.17. These factors together support the recommendation.
77.5% on 1 60% probability
Over the last 90 days, 1 tips have returned 237 wins from 306 settled tips (77.5%). This is above our site-wide average of 71.7%, indicating this market performs particularly well in our analysis.
Key team news is the most likely disruptor: confirmed absences of first-choice players, particularly the goalkeeper or main striker, can shift the probability significantly. Late lineup changes, pitch conditions, or updated injury reports published closer to kickoff should be checked before placing any bet. Odds movement at the bookmaker after publication may also signal late information entering the market.
Pakhtakor vs Xorazm Urganch 1
Our model assigns a win probability of 50% to this outcome. Historically, 1 tips have settled at 77.5% over the last 90 days (306 tips graded). This pick is priced at approximately @1.36. These factors together support the recommendation.
77.5% on 1 50% probability
Over the last 90 days, 1 tips have returned 237 wins from 306 settled tips (77.5%). This is above our site-wide average of 71.7%, indicating this market performs particularly well in our analysis.
Key team news is the most likely disruptor: confirmed absences of first-choice players, particularly the goalkeeper or main striker, can shift the probability significantly. Late lineup changes, pitch conditions, or updated injury reports published closer to kickoff should be checked before placing any bet. Odds movement at the bookmaker after publication may also signal late information entering the market.
Santa Fe vs U. Magdalena 1
Our model assigns a win probability of 50% to this outcome. Historically, 1 tips have settled at 77.5% over the last 90 days (306 tips graded). This pick is priced at approximately @1.33. These factors together support the recommendation.
77.5% on 1 50% probability
Over the last 90 days, 1 tips have returned 237 wins from 306 settled tips (77.5%). This is above our site-wide average of 71.7%, indicating this market performs particularly well in our analysis.
Key team news is the most likely disruptor: confirmed absences of first-choice players, particularly the goalkeeper or main striker, can shift the probability significantly. Late lineup changes, pitch conditions, or updated injury reports published closer to kickoff should be checked before placing any bet. Odds movement at the bookmaker after publication may also signal late information entering the market.

Market Consistency Tracker

Rolling 30-day windows over 90 days • steadiest markets first

A high win rate is only part of the picture. This tracker shows whether each market delivers consistently or in streaks.

Over 1.5 avg 74.5% • range ±3.5%
Steady
70.8%
0-30d
75%
30-60d
77.8%
60-90d

Win rate has been consistent across all three rolling windows. Reliable market for planning.

1 avg 76.9% • range ±5.4%
Steady
71.8%
0-30d
82.6%
30-60d
76.3%
60-90d

Win rate has been consistent across all three rolling windows. Reliable market for planning.

Over 2.5 avg 69.8% • range ±11.2%
Variable
81.5%
0-30d
59.1%
30-60d
68.8%
60-90d

Some variation across rolling windows. Performance is directional but not uniform.

2 avg 82.9% • range ±12.1%
Variable
72.2%
0-30d
96.4%
30-60d
80%
60-90d

Some variation across rolling windows. Performance is directional but not uniform.

1X avg 64.9% • range ±13.7%
Volatile
54.5%
0-30d
81.8%
30-60d
58.3%
60-90d

Wide spread across rolling windows. Strong runs followed by weaker periods. Streak-dependent.

X2 avg 83.4% • range ±16.7%
Volatile
0-30d
66.7%
30-60d
100%
60-90d

Wide spread across rolling windows. Strong runs followed by weaker periods. Streak-dependent.

Steady = <=12pp spread. Variable = 13-25pp. Volatile = >25pp. Min. 5 tips per window.


Latest Winnings

18/07/26 Latvia Nakotnes liga
Marupe vs Metta
2
@1.22
0-4
18/07/26 Belarusian Cup
Uni X Labs vs Baranovici
2
@1.36
1-4
18/07/26 Lithuania 1 Lyga
FK Minija vs Jonava
1
@1.23
2-1
17/07/26 Ireland FA Cup
Shamrock Rovers vs Cork City
1X
@1.09
4-1
17/07/26 Australia Victoria PL
Melbourne Knights vs Brunswick City
1
@1.37
2-0
17/07/26 Ireland FA Cup
St Patricks vs Wexford
1
@1.15
2-1
17/07/26 China Super League
Yunnan Yukun vs Shanghai Port
Over 2.5
@1.37
2-2
17/07/26 Iceland Division 2
Haukar vs Throttur Vogar
1
@1.32
2-1
16/07/26 Conference League Qualifier
Levadia vs Caernarfon
1
@1.16
5-0
16/07/26 Brasileiro U20
Palmeiras U20 vs Corinthians U20
1
@1.34
3-1

How We Pick Every Market

DirectWinPredict covers eight distinct markets. Here is the exact process behind how each fixture is evaluated across all of them.

1
Direct Result Focus
We start with the most fundamental question: who actually wins this match? Every other market is built outward from that core analysis.
2
Goal Threshold Mapping
Each team's scoring and conceding pattern is mapped against Over 1.5, 2.5, and 3.5 thresholds separately, since these behave very differently match to match.
3
Double Chance Logic
Where outright result confidence is moderate but not high, we assess whether a Double Chance angle offers a safer, still-valuable alternative.
4
BTTS Pattern Check
Both Teams To Score is evaluated independently of the match outcome prediction, since a one-sided win does not always mean only one team scores.
5
Draw Probability Scan
Draws are notoriously underpriced by casual bettors. We specifically flag fixtures where historical draw frequency exceeds the market's implied probability.
6
Final Market Selection
Only after all markets are individually scored do we select the strongest one to publish as the headline tip for that fixture.
No prediction is guaranteed across any market. All tips are based on statistical analysis. Please gamble responsibly.

Performance by Tip Type

Over 2.5 81.5%
22W / 5L · ROI +13.3%
2 72.2%
13W / 5L · ROI -6.1%
1 71.8%
51W / 20L · ROI -8.8%
Over 1.5 70.8%
17W / 7L · ROI -14.3%
1X 54.5%
6W / 5L · ROI -37.8%

Market Comparison Matrix — Last 30 Days

Win rate across every market we cover. Use this to see where our analysis is strongest right now.

Home Win
70%
74W / 32L
Draw
50%
6W / 6L
Away Win
76%
35W / 11L
Double Chance
55%
6W / 5L
Over 1.5
71%
17W / 7L
Over 2.5
81%
22W / 5L
Over 3.5
No data yet
BTTS
No data yet

71%
30-Day Win Rate
87.9%
7-Day
109
Won
@1.28
Odds
-8.2%
ROI
152
Tips
Full Record


Stop Guessing on Your Bets. Use Data Instead.

You want to win more bets. So do millions of others. Most people fail because they guess. They watch one game highlight. They like a team’s colors. They bet big on their uncle’s “sure thing.” Then they lose.

Here’s the straight path: bet statistics predictions. This is not complicated. This is not magic. This is math. Real numbers from real games. When you use them, you make better picks. Period.

What Are Bet Statistics Predictions?

Bet statistics predictions are a name for one simple thing: looking at what happened before to guess what happens next.

A team scored 15 goals in 10 home games. They have the ball 60% of the time. Their main striker missed three weeks with a knee injury last month. Rain is coming on match day. They play their fourth game in ten days. All of that is data. Real, boring, useful data.

When you pile it together, you get a picture. Not a guarantee. A picture. And that picture is better than your uncle’s opinion.

The Real Work: Numbers Tell Stories

Let’s talk about what actually matters when you’re picking bets:

Match winner predictions: Look at head-to-head records. One team won 7 of the last 10 meetings. One team has not lost at home in 16 games. One team scores two goals per game at home. One team gives up three goals per game on the road. You add those facts together. They point you somewhere.

Goals betting: Works the same way. A team with a striker in form scores often. A team missing its center back gives up more. Bad weather makes scoring harder. When the grass is wet from rain, the ball moves differently. Passes are slower. Shots slip. Fewer goals happen.

Safe picks: They do not feel like winning big. They feel like winning small, again and again. A team that always scores between 1 and 2 goals. A league where the home team wins 55% of the time. A player who scores every third game. Small edges. Small wins. Money that stays in your pocket.

Seasoned bettors know this. They do not chase big odds. They find small edges. Then they use those edges fifty times a year. That is how money gets made.

Real Scenarios Show Why This Works

Scenario One: The Injury Team A has their best player. He gets hurt. He misses two weeks. Their scoring drops 30% in those two weeks. Your betting statistics predictions show this. The odds stay the same because casual bettors do not notice. You notice. You fade Team A. You win.

Scenario Two: The weather is rainy. The pitch becomes mud. Both teams play slowly. Long passes fail. Short passes work better. Teams that play short passing football do better in mud. One team plays like that. One does not. You know this from data. The rain forecast says heavy rain. You pick the short-passing team. Correct again.

Scenario Three: The Schedule Team B plays Thursday night. Then again, Sunday. Then Wednesday. Three games in eight days. Their legs are tired. They run less in the third game. They concede more. The tired team in the third game is a bad bet. The rested team is a good pick. Numbers show this. You see it. You take it.

Scenario Four: The Trend One team has won their last four home games by exactly one goal. One team has lost its last four away games by exactly one goal. Those teams play each other at home. The numbers whisper the same story twice. Small odds. High chance. You take it.

How to Use Bet Statistics Predictions Every Week

Here is the straight line from start to finish:

  1. Pick your match
  2. Find the last 10 results for both teams
  3. Look at goals scored and goals given up
  4. Check who is hurt or suspended
  5. Check the weather forecast
  6. Check how many games each team played recently
  7. Compare the odds you see to what the data says
  8. If the odds are wrong, bet
  9. If the odds look right, skip it
  10. Move to the next match

Do not skip steps. Do not guess. Do not add your opinion. Numbers work. Opinions lose money.

Your Next Move

You have read this far. You know the difference. Bet statistics predictions are just facts. Facts about teams. Facts about players. Facts about weather, tired legs, and how many goals good strikers score.

Directwinpredict.com shows you exactly these facts, every day, for every match that matters. We do not promise you will win every time. That would be a lie. We show you what the numbers say. That is enough. Over time, it is more than enough.

The people who win at betting are not smarter than you. They just stopped guessing. Go to Directwinpredict.com. Look at today’s matches. See what the data says. Then decide.