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Series Predictions
Maryville UniversityConviction
FastTree
· free model
Maryville University81.1%
Conviction18.9%
Head-to-Head & Form
Maryville UniversityElo Rating
1407
Tournament Record
–
Overall Record
28W - 19L (59.6%)
Current Streak
1L
H2H Win Rate
49.2%
VS
ConvictionElo Rating
1402
Tournament Record
–
Overall Record
63W - 46L (57.8%)
Current Streak
3W
H2H Win Rate
50.8%
Main Prediction Drivers
Impact = how much this feature shifts the model's win probability. The value below each name is how much better the favored team is on that feature.
1
Vision Control
Vision ControlA combined vision signal blending vision score, vision wards per minute, and vision efficiency.
Conviction +420
Conviction leads this stat - but weighed with the rest of this matchup, it shifts the model toward Maryville University.
Impact
37.9%
Counts for Maryville University
The model weighs every driver together rather than one at a time. A team can lead a single stat here and still see the full matchup point the other way - this row is being outweighed by the rest of the picture, not ignored.
2
Combat Power
Combat PowerA combined combat signal blending damage to champions, damage per minute, and teamfight power.
Maryville University +284
Impact
34.3%
Maryville University
3
Objective Control
Objective ControlA combined objective control signal blending dragons, heralds, and barons taken per game.
Conviction +214
Conviction leads this stat - but weighed with the rest of this matchup, it shifts the model toward Maryville University.
Impact
8.9%
Counts for Maryville University
The model weighs every driver together rather than one at a time. A team can lead a single stat here and still see the full matchup point the other way - this row is being outweighed by the rest of the picture, not ignored.
4
Early Game
Early GameA combined early-game signal blending gold, CS, and XP differentials at the 15-minute mark.
Conviction +351
Impact
8.7%
Conviction
5
Elo Rating
Maryville University +9 Elo
Maryville University leads this stat - but weighed with the rest of this matchup, it shifts the model toward Conviction.
Impact
3.1%
Counts for Conviction
The model weighs every driver together rather than one at a time. A team can lead a single stat here and still see the full matchup point the other way - this row is being outweighed by the rest of the picture, not ignored.
6
Elo Composite
Elo CompositeA combined Elo signal that blends raw Elo, expected win rate, and the interaction between them.
Maryville University +4
Maryville University leads this stat - but weighed with the rest of this matchup, it shifts the model toward Conviction.
Impact
2.3%
Counts for Conviction
The model weighs every driver together rather than one at a time. A team can lead a single stat here and still see the full matchup point the other way - this row is being outweighed by the rest of the picture, not ignored.
7
Expected Win Rate
Expected Win RateThe model's expected win probability based on Elo difference alone.
Maryville University +1.2% expected WR
Maryville University leads this stat - but weighed with the rest of this matchup, it shifts the model toward Conviction.
Impact
1.7%
Counts for Conviction
The model weighs every driver together rather than one at a time. A team can lead a single stat here and still see the full matchup point the other way - this row is being outweighed by the rest of the picture, not ignored.
8
Win Rate
Maryville University +1.8% WR
Maryville University leads this stat - but weighed with the rest of this matchup, it shifts the model toward Conviction.
Impact
1.1%
Counts for Conviction
The model weighs every driver together rather than one at a time. A team can lead a single stat here and still see the full matchup point the other way - this row is being outweighed by the rest of the picture, not ignored.
Scouting Report
Maryville University
BLUE
Higher damage output
Stronger first tower pressure
Conviction
RED
Cleaner teamfighting (better KDA)
Better vision control
Stronger early game (gold lead at 15)