Fb Predictions


30th Jun 2026

TIME LEAGUE MATCH SCORE TIP ODDS ACTION
10:30 am Australia NPL Queensland W Gold Coast Knights W vs Queensland Lions W - Over 1.5 1.13 Preview
11:00 am Australia NPL NSW SD Raiders vs Sydney FC U23 - Over 1.5 1.19 Preview
5:00 pm Latvia Virsliga FK Liepaja vs Ogre United - 1 1.30 Preview
2:00 pm Tanzania Ligi Kuu Bara Azam vs Dodoma Jiji - 1 1.27 Preview
4:00 pm Latvia Virsliga RFS vs BFC Daugavpils - 1 1.17 Preview
11:30 pm Brazil Serie C SER Caxias vs Anapolis - 1 1.50 Preview
6:00 pm World Cup 2026 Ivory Coast vs Norway - Over 1.5 1.28 Preview

Latest Winnings

28/06/26 Moldova Super Liga
Petrocub vs Dacia Buiucani
1
@1.24
2-1
28/06/26 Copa Chile
U. De Chile vs San Felipe
1
@1.31
2-0
28/06/26 Latvia Nakotnes liga
JFK Ventspils vs Valmiera
2
@1.40
0-2
28/06/26 Belarus Vysshaya Liga
Isloch vs Belshina
1
@1.31
4-0
28/06/26 Brazil Serie B
Atletico GO vs Ponte Prata
1
@1.45
4-0
28/06/26 China SL Women
Liaoning W vs Changchun Dazhong W
1
@1.42
1-0
27/06/26 Russia FNL 2
Rostov 2 vs Astrakhan
1
@1.35
2-0
27/06/26 Finland Kakkonen A
Union Plaani vs HIFK
2
@1.32
0-3
27/06/26 Russia FNL 2
FC Sevastopol vs Angust Nazran
1
@1.11
1-0
27/06/26 Finland Veikkausliiga
Mariehamn vs Inter Turku
2
@1.32
0-2

⚡ Win Rate Tracker

78.9%
Win Rate
Excellent
Last 30 Days · 171 settled tips
135
Won
36
Lost
@1.28
Avg Odds
+1.1%
ROI
18+ Please gamble responsibly BeGambleAware

78%
78%
30-Day Win Rate
67.6%
7-Day
135
Won
@1.28
Odds
+1.1%
ROI
171
Tips
Full Record

🏆 League Performance — All Time

#LeagueTipsWonLostWin%ROI
🥇 Germany Regionalliga Nordost 2 2 0 100% +42%
🥈 Moldovan Cup 2 2 0 100% +41%
🥉 Chile: Copa De La Liga 2 2 0 100% +40%
4 Ger. Regionalliga Bayern 3 3 0 100% +34%
5 Premiere Ligue Women 2 2 0 100% +30%
6 Colombia Liga Women 4 4 0 100% +33%
7 Copa Chile 3 3 0 100% +29%
8 Copa Do Brasil 5 5 0 100% +26%
9 Poland III Liga 3 3 0 100% +36%
10 Norway OBOS-Ligaen 3 3 0 100% +41%
11 Norway Eliteserien 2 2 0 100% +33%
12 Czech 4 Liga 2 2 0 100% +33%
13 Czech CHNL 2 2 0 100% +33%
14 Norway Division 2 G1 2 2 0 100% +22%
15 Denmark 3 Division 2 2 0 100% +17%
16 Russia Premier League 4 4 0 100% +32%
17 Denmark Superliga 2 2 0 100% +33%
18 Eerste Divisie 5 5 0 100% +37%
19 Egypt Premier League 5 5 0 100% +30%
20 Liga Portugal 3 3 0 100% +29%
21 England WSL 3 3 0 100% +25%
22 Latvia Nakotnes liga 2 2 0 100% +31%
23 Jordan Premier League 4 4 0 100% +32%
24 Indonesia Super League 3 3 0 100% +32%
25 Euro World Cup Qualifier 2 2 0 100% +35%
26 Iceland Division 1 3 3 0 100% +31%
27 Faroe Island 1 Delid 2 2 0 100% +36%
28 Iceland Besta deild karla 4 4 0 100% +32%
29 Russia FNL 2 - Div B 3 3 0 100% +36%
30 Russia FNL 2 2 2 0 100% +23%
31 Saudi Division 1 4 4 0 100% +23%
32 Belarus Cup 2 2 0 100% +33%
33 AFCON Qualifiers 2 2 0 100% +40%
34 Algeria Ligue 2 2 2 0 100% +34%
35 Wales Cymru North 2 2 0 100% +42%
36 Armenia Premier League 13 13 0 100% +25%
37 Australia NPL Queensland 2 2 0 100% +24%
38 Uzbekistan Super League 3 3 0 100% +27%
39 Ukraine Premier League 4 4 0 100% +26%
40 Austria Regionalliga West 8 8 0 100% +37%
41 Uganda Premier League 4 4 0 100% +32%
42 UCL Women 2 2 0 100% +22%
43 Bahrain Premier League 5 5 0 100% +28%
44 Hungary NB 1 Women 3 3 0 100% +33%
45 Swe Div 2 Norra Gotaland 2 2 0 100% +38%
46 Brasileiro A3 Women 2 2 0 100% +24%
47 Betway Premiership 3 3 0 100% +20%
48 Serie A Women 2 2 0 100% +23%
49 Bosnian Cup 3 3 0 100% +26%
50 Saudi Division 2 3 3 0 100% +23%
51 Brazil Carioca 2 2 2 0 100% +27%
52 Brasileiro Women 2 2 0 100% +31%
53 Brazil Catarinense U20 4 4 0 100% +27%
54 Serbia Mozzart Super Liga 2 2 0 100% +31%
55 Ligue 1 10 9 1 90% +18.8%
56 Faroe Islands Premier League 10 9 1 90% +13.4%
57 Tanzania Ligi Kuu Bara 9 8 1 88.9% +5.8%
58 UEFA Europa League 9 8 1 88.9% +13.8%
59 La Liga 8 7 1 87.5% +18.1%
60 Iraq Stars League 8 7 1 87.5% +12%
61 Algeria Ligue 1 6 5 1 83.3% +8.3%
62 Lithuania 1 Lyga 6 5 1 83.3% +7.5%
63 Euro WCQ Women 6 5 1 83.3% +2.5%
64 Portugal Liga 6 5 1 83.3% +0.8%
65 Bundesliga 6 5 1 83.3% +9.2%
66 Saudi Professional League 11 9 2 81.8% +0.6%
67 World Cup 2026 11 9 2 81.8% -1%
68 Premier League 2 5 4 1 80% +6.4%
69 Latvia Virsliga 10 8 2 80% +8%
70 WSL 5 4 1 80% -1.6%
71 Finland Veikkausliiga 5 4 1 80% +4%
72 Copa Libertadores 5 4 1 80% -2.4%
73 Bosnia WWIN Liga BiH 5 4 1 80% +3.2%
74 Brasileiro U20 5 4 1 80% +10.4%
75 China Super League 5 4 1 80% +7.2%
76 Bulgaria EFBET League 9 7 2 77.8% +6.6%
77 UEFA Champions League 9 7 2 77.8% +8.9%
78 International Friendly 13 10 3 76.9% +0%
79 NIFL Premiership 4 3 1 75% +0.5%
80 Wales Cymru South 4 3 1 75% -0.2%
81 China SL Women 4 3 1 75% +0.5%
82 Challenger Pro League 4 3 1 75% +7.3%
83 Lithuania TopLyga 8 6 2 75% -1.8%
84 Euro U21 Qualification 4 3 1 75% -8.5%
85 Georgia Liga 3 4 3 1 75% +7.3%
86 Serie A 7 5 2 71.4% -4.3%
87 Ireland Division 1 7 5 2 71.4% -10.7%
88 Azerbaijan 1 Liqa 7 5 2 71.4% -6.4%
89 Israel Ligat Ha'al 7 5 2 71.4% -6.4%
90 Tunisian League 7 5 2 71.4% -13.6%
91 Albania Kategoria E Pare 3 2 1 66.7% -12%
92 Rwanda Premier League 6 4 2 66.7% -8%
93 Russia Youth League 3 2 1 66.7% -16.7%
94 Swiss Super League 3 2 1 66.7% -5.3%
95 Austria Regionalliga Central 3 2 1 66.7% -17.3%
96 Argentina Reserve League 12 8 4 66.7% -16%
97 Ger. Regionalliga Nordost 3 2 1 66.7% -7.3%
98 Azerbaijan League 3 2 1 66.7% -16%
99 Oman Professional League 3 2 1 66.7% -14%
100 Greece Super League 3 2 1 66.7% -14.7%
101 Egypt Division 2 A 3 2 1 66.7% -13.3%
102 Iceland Besta deild Women 3 2 1 66.7% -18%
103 Estonia Esiliiga 3 2 1 66.7% -10.7%
104 Estonia Meistriliiga 8 5 3 62.5% -16.3%
105 Premier League 13 8 5 61.5% -21.2%
106 Euro Women WCQ 5 3 2 60% -20.2%
107 Turkey Super Lig 5 3 2 60% -26.2%
108 Kuwait Premier League 5 3 2 60% -20.8%
109 Hungary NB 1 5 3 2 60% -20.8%
110 Croatia HNL 5 3 2 60% -22.6%
111 South Africa Premiership 5 3 2 60% -30.4%
112 Belarus Vysshaya Liga 7 4 3 57.1% -25.7%
113 Denmark A Liga Women 2 1 1 50% -32.5%
114 Singapore Premier League 2 1 1 50% -31%
115 India ISL 2 1 1 50% -41%
116 Belgium Pro League U21 2 1 1 50% -41%
117 FA Cup 2 1 1 50% -37.5%
118 Brazil Paulista B 2 1 1 50% -30.5%
119 Swiss Challenge League 2 1 1 50% -37.5%
120 Finland Kakkonen A 2 1 1 50% -34%
121 UAE League 2 1 1 50% -33%
122 Finland Kansallilen Women 2 1 1 50% -36.5%
123 Ireland Premier Division 4 2 2 50% -34.5%
124 Kazakhstan Premier League 4 2 2 50% -38%
125 Finland Suomen Cup 4 2 2 50% -37.5%
126 Czech 3 MSFL 2 1 1 50% -44.5%
127 Montenegro Druga Liga 2 1 1 50% -26%
128 National League 2 1 1 50% -34.5%
129 Azerbaijan Cup 2 1 1 50% -33.5%
130 North Macedonia 1. MFL 2 1 1 50% -33.5%
131 Denmark 1 Division 2 1 1 50% -37.5%
132 England Women FA Cup 2 1 1 50% -45%
133 Wales Cymru Premier 2 1 1 50% -28.5%
134 AFC Champions League 2 2 1 1 50% -42.5%
135 Eredivisie 6 3 3 50% -37.5%
136 Wales Premier Women 2 1 1 50% -28.5%
137 Estonian Cup 2 1 1 50% -43%
138 Jamaica Premier League 2 1 1 50% -36%
139 Cyprus League 2 1 1 50% -42%
140 Austria Regionalliga East 7 3 4 42.9% -38.3%
141 Morocco Botola Pro 8 3 5 37.5% -52.4%
142 Poland Ekstraklasa 3 1 2 33.3% -55.7%
143 UEFA Conference League 3 1 2 33.3% -57.3%
144 Bundesliga Women 3 1 2 33.3% -48.7%
145 Copa Sudamericana 3 1 2 33.3% -58.3%
146 Championship 4 1 3 25% -72%
147 Singapore Premier League 2 2 0 2 0% -100%
148 Qatar QSL 2 0 2 0% -100%
149 Finland Ykkonen 2 0 2 0% -100%
150 Denmark 2 Division 4 0 4 0% -100%
151 Georgia Crystalbet Liga 2 2 0 2 0% -100%
152 AFC Champions League 2 0 2 0% -100%

Leagues with fewer than 2 settled tips are hidden


🎯 Performance by Tip Type

2 86.7%
26W / 4L · ROI +14.4%
1 82%
73W / 16L · ROI +5.8%
1X 81.3%
13W / 3L · ROI -6.6%
Over 1.5 73.3%
11W / 4L · ROI -9.1%
Over 2.5 58.8%
10W / 7L · ROI -17.6%
X2 50%
2W / 2L · ROI -42%

📊 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
81%
97W / 23L
Draw
75%
15W / 5L
Away Win
75%
38W / 13L
Double Chance
81%
13W / 3L
Over 1.5
73%
11W / 4L
Over 2.5
59%
10W / 7L
Over 3.5
No data yet
BTTS
No data yet

↑ Monthly Performance Report

Mar 2026
77.5%
148W/43L
Apr 2026
75.5%
160W/52L
May 2026
74.5%
140W/48L
Jun 2026
78.9%
135W/36L

▲ Better than previous month   ▼ Lower   ▬ Similar


◆ 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.


Why FB Predictions Matter for Your Betting Strategy

Stop wasting time on guesses. FB Predictions work because they’re built on real data about teams, players, and what happens on the field. This article shows you how to use them the right way.

What Are FB Predictions?

FB Predictions are forecasts about football matches. Someone looks at the numbers of how teams played before, who’s injured, where the game happens, and gives you a prediction. Will Team A win? Will there be many goals? Will Team B score at least once?

The basic idea is simple: past performance and current conditions tell you something about what comes next. A team that scores 2 goals per game will likely score goals in their next match. A goalkeeper with a clean sheet record probably won’t let in 5 goals tomorrow.

Real Reasons Why FB Predictions Help You Pick Better Matches

Missing Players Change Everything

When your best striker sits on the bench because of a knee injury, your team plays differently. They might be slower to score. They might lose the match. FB Predictions that check the team news first, catch this. If Liverpool plays without Mohamed Salah, the prediction gets weaker for them. You see it. You don’t bet on them.

Weather Actually Matters

Heavy rain makes the grass slippery. Windy conditions mess up passing. When a game is in Scotland in January with freezing rain, you can’t expect smooth football or lots of goals. Smart FB Predictions factor this in. A prediction that says “Team A will win 3-1” looks different when rain is falling.

Some Teams Play Too Many Games

If your team plays on Saturday, Tuesday, and Friday, they get tired. Players move more slowly. They make mistakes. Defenders get sloppy. A team with three games in eight days won’t play like a team with a full week to rest. This is why FB Predictions checks the fixture calendar. A match winner prediction needs to know if a team is fresh or worn out.

Home Field Is Real

Teams win more often at home. Their fans are loud. Players know the field. They sleep in their own beds. Away matches are harder. FB Predictions weigh this fact heavily. You see it in the numbers: teams win more at home across every league.

How to Use FB Predictions Smartly

Here’s the straight path:

  1. Check the prediction source – Where does the forecast come from? Who made it? Do they have a record of being right?
  2. Look at the reasoning – A good FB Predictions service tells you why they picked a team or goal total. Not just “Team A will win.” But “Team A will win because they’re at home, they have no injuries, and Team B is on their third match in ten days.”
  3. Match the prediction to your comfort level – A “safe pick” usually means the outcome is more likely. A “risky pick” has bigger odds but lower odds of happening.
  4. Never bet more than you can lose – A prediction is not a promise. Even the best FB Predictions get wrong sometimes.

Common Match Winner and Goals Predictions You’ll See

  • Match Winner – Which team will win? This is the simplest FB Predictions you’ll find.
  • Both Teams to Score – Will both sides score at least one goal? Look at their recent matches.
  • Total Goals – Will there be more or fewer goals than a set number (like 2.5)?
  • Exact Score – Team A wins 2-1. This has high odds because it’s hard to guess.
  • Safe Pick – The prediction with the highest chance of being right.

Real Match: What Good FB Predictions Look Like

Let’s say Manchester United plays Burnley at home on a Sunday afternoon.

The data:

  • Manchester United scored 8 goals in their last three games at home
  • Burnley gave up 6 goals in their last three away games
  • Burnley’s top defender is suspended
  • No rain is forecast
  • Manchester United rested for five days

Good FB Predictions would say: “Manchester United to win, with over 2.5 goals likely.” Not because we’re guessing. Because the numbers point that way.

Bad predictions would say: “Manchester United guaranteed to win 4-0!” No prediction is guaranteed. Ever.

When FB Predictions Fall Short

Even solid predictions miss because:

  • A star player gets injured 30 minutes before kickoff
  • A referee makes a strange decision that changes the match
  • A team plays with no intensity for reasons off the field
  • Bad luck happens

This is why you never bet your rent money on any prediction.

Why Directwinpredict.com Gets FB Predictions Right

Directwinpredict.com shows you predictions with honest reasoning. They don’t promise you’ll get rich. They show the data. They explain what makes a safe pick and what makes a risky one.

Start using FB Predictions from a trusted source. Check the facts. Understand the odds. Bet only what you can afford to lose. Over time, smart predictions beat random guesses.

Stop throwing darts at a board. Use FB Predictions based on real information. That’s how you move from lucky to smart.