Pro meta.
The latest pro meta (16.14), next to what our model predicts for the live patch (16.14).
Champions climbing in high-elo soloq that our model expects in pro drafts next, before they're picked. Historically about 58% of these early calls go on to reach pro play (the named ledger lives on the Track record).
Pyke
100% model
utility · not yet drafted
Qiyana
100% model
jungle · not yet drafted
Olaf New
100% model
top · not yet drafted
Taliyah New
99% model
middle · not yet drafted
Alistar
99% model
utility · not yet drafted
Gangplank
99% model
top · not yet drafted
Skarner New
99% model
jungle · not yet drafted
Kalista New
99% model
bottom · not yet drafted
Pantheon New
99% model
utility · not yet drafted
Hecarim
99% model
jungle · not yet drafted
Varus New
99% model
top · not yet drafted
Zeri
99% model
bottom · not yet drafted
| Champ | Presence | Prev patch | Model | Read |
|---|---|---|---|---|
| Poppy | 100% | 63% ▲ | 100% | model backs it |
| Nocturne | 83% | 55% ▲ | 99% | model backs it |
| Cassiopeia | 83% | 52% ▲ | 99% | model backs it |
| Shen | 67% | 13% ▲ | 100% | model backs it |
| Jayce | 67% | 68% | 100% | model backs it |
| Jarvan IV | 67% | 38% ▲ | 100% | model backs it |
| Vayne | 67% | 46% ▲ | 100% | model backs it |
| Syndra | 67% | 37% ▲ | 100% | model backs it |
| Naafiri | 67% | 37% ▲ | 100% | model backs it |
| Vi | 67% | 72% ▼ | 100% | model backs it |
| Orianna | 67% | 65% | 99% | model backs it |
| Locke | 67% | new | 99% | model backs it |
| Akali | 67% | 52% ▲ | 98% | model backs it |
| Camille | 50% | 48% ▲ | 100% | model backs it |
| Ezreal | 50% | 37% ▲ | 100% | model backs it |
| Bard | 50% | 55% ▼ | 100% | model backs it |
| Viktor | 50% | 21% ▲ | 99% | model backs it |
| Kai'Sa | 50% | 10% ▲ | 99% | model backs it |
| Rumble | 50% | 46% ▲ | 99% | model backs it |
| Ryze | 50% | 37% ▲ | 99% | model backs it |
| Leona | 50% | 7% ▲ | 95% | model backs it |
| Ambessa | 33% | 25% ▲ | 100% | model backs it |
| Nautilus | 33% | 52% ▼ | 100% | model backs it |
| Lucian | 33% | 31% ▲ | 100% | model backs it |
| Gnar | 33% | 49% ▼ | 100% | model backs it |
| Renekton | 33% | 32% | 100% | model backs it |
| Rell | 33% | 20% ▲ | 99% | model backs it |
| Galio | 33% | 10% ▲ | 97% | model backs it |
| Ziggs | 33% | 37% ▼ | 95% | model backs it |
| Anivia | 33% | 23% ▲ | 93% | model backs it |
| Lee Sin | 17% | 38% ▼ | 100% | model backs it |
| Dr. Mundo | 17% | 8% ▲ | 100% | model backs it |
| Jhin | 17% | 20% ▼ | 100% | model backs it |
| Ahri | 17% | 25% ▼ | 100% | model backs it |
| Caitlyn | 17% | 32% ▼ | 100% | model backs it |
| Sylas | 17% | 21% ▼ | 99% | model backs it |
| Mordekaiser | 17% | new | 99% | model backs it |
| Yone | 17% | 18% | 99% | model backs it |
| Yorick | 17% | 18% | 99% | model backs it |
| Annie | 17% | 28% ▼ | 99% | model backs it |
| Xin Zhao | 17% | 25% ▼ | 99% | model backs it |
| Karma | 17% | 23% ▼ | 97% | model backs it |
| K'Sante | 17% | 18% | 97% | model backs it |
| Rakan | 17% | 20% ▼ | 97% | model backs it |
| Milio | 17% | 11% ▲ | 97% | model backs it |
| Kled | 17% | 3% ▲ | 96% | model backs it |
| Twisted Fate | 17% | 14% ▲ | 96% | model backs it |
| Elise | 17% | 6% ▲ | 92% | model backs it |
| Wukong | 17% | 24% ▼ | 91% | model backs it |
| Trundle | 17% | 25% ▼ | 84% | model backs it |
| Neeko | 17% | 11% ▲ | 80% | model backs it |
| Tahm Kench | 17% | new | 74% | model backs it |
Each champ is a dot. x is how often pros pick or ban it this patch. y is our model's
predicted prominence, on a log-odds spread rather than linear, so the near-certain picks don't all
pile up at the top. We show only the actual pro drivers and our highest-confidence calls, and
* marks an emerging call. Top-left is our edge:
climbing in high-elo soloq before the draft catches up. Bottom-right
is played by pros but not backed by our data.
Model is our scorer's predicted likelihood the champ shows up in pro play. Presence is how
often it actually did (pick and ban share). They're related but not the same unit, so read the comparison as a
direction. Agreement on the current patch is partly a mirror, since the model is trained to predict presence.
The real test of an emerging call (high model, low presence now)
is whether it climbs next patch, which is what the Track record measures.