
Predict match outcomes, track stats, climb the global leaderboard, and win $100! The player with the most correct predictions wins.
30 seconds. Free forever. No card needed.
Live & upcoming FIFA matches, all in one place.
Winner? Goals? Scorers? Answer before time runs out.
Rack up points. Top the leaderboard to win $100!
Scores update as the ball moves. No refresh needed.
Predict scorers, cards, corners β the real stuff.
See your accuracy, streaks, and where you rank.
Compete against the world. Only the best stay on top.
All predictions lock before kickoff. Pure skill, zero luck.
Phone, tablet, desktop β works everywhere.
Stop spectating. Start predicting. Show the world what you know.
Predict before kickoff.
Check back soon.
| Rank | Player | Points | β½ | ποΈ | π | Accuracy |
|---|---|---|---|---|---|---|
|
|
RA
Raghav
|
1330 | 143 | - | - | 40.2% |
|
2
|
JA
Jacob Makgopa
|
165 | 18 | - | - | 51.4% |
|
3
|
MA
Mary Grace Ancuna
|
140 | 5 | - | - | 29.4% |
|
4
|
AN
Anuj
|
120 | 12 | - | - | 75% |
|
5
|
TR
Tracy Labiche
|
80 | 10 | - | - | 37% |
|
6
|
BO
Bongani Isaac Nkosi
|
75 | 8 | - | - | 36.4% |
|
7
|
BR
Brody Barnett
|
70 | 4 | - | - | 21.1% |
|
8
|
NA
Naomi
|
60 | 7 | - | - | 30.4% |
|
9
|
RA
Rajiv Saini
|
55 | 6 | - | - | 46.2% |
|
10
|
TR
Tracy
|
50 | 4 | - | - | 50% |
Go to Matches and start predicting!