Ambessa

Champion Builds

Change champion · Ambessa
vs matchup · Common
vs matchup
30 same-position opponents · pick one for the matchup build
AmbessaAmbessaJungle · Common
All · 16.19 · Total gold58 games 36W 22L · 62.1% win rate Specialist 58 games

Starting items

Starting purchase set excl. wards · lane diff 1–5m

Starting set · 58 games total2 variants
  • 61.4%

    98% · 57 games

    GoldCS1m+1.602m-9.7+0.43m-31.3+3.24m-72.1+1.55m-114+1.5
  • 100.0%

    2% · 1 games

    GoldCS1m-502m-109-43m-89-24m-122-75m-1-1

Mid items

Laning buys before core 1 · +1 to +5m after purchase

  • Item 103655.8%

    26.5% · 43 games

    Avg 4.6m to buy

    GoldCSAt purchase-218.2+0.9+1m-199.3+2.3+2m-137.8+1.8+3m-151.4+1+4m-90.7+1.9+5m-134.3+2.3
  • Item 103759.5%

    25.9% · 42 games

    Avg 4.6m to buy

    GoldCSAt purchase-95.7+1.1+1m-83+2.5+2m-87.6+2.6+3m-30.5+3.4+4m-4.8+3+5m+85.6+3.3
  • Item 202060.7%

    17.3% · 28 games

    Avg 6.4m to buy

    GoldCSAt purchase-191.5+3.2+1m-113.4+5.9+2m-115.1+4.6+3m-91.8+5.9+4m-7+5+5m+11.5+4.5
  • Item 307763.6%

    13.6% · 22 games

    Avg 6.2m to buy

    GoldCSAt purchase-122.5+1.7+1m-26.3+5+2m+121.2+5.7+3m+129.1+7.2+4m+94.2+8+5m+139.5+7.8
  • Item 202270.0%

    6.2% · 10 games

    Avg 6.0m to buy

    GoldCSAt purchase-84.9-1+1m-26.5+0.5+2m+129+0.3+3m+240.2+2.4+4m+336.1+1.5+5m+421.1+3.2
  • Item 313470.0%

    6.2% · 10 games

    Avg 5.2m to buy

    GoldCSAt purchase-286.9-3.7+1m-330.3-3.6+2m-227.8-2.1+3m-350-3.5+4m-233.9-3.1+5m-139.3-3.5

Core slots

Core 1·2·3 distribution · lane diff +0 to +5m after completion

Core 1· 58 games

  • Item 669860.4%48 games
    82.8%

    Avg 9.4m to complete

    GoldCSAt completion+105.5+4.8+1m+145.5+4.9+2m+76.9+4.1+3m+50.2+4.1+4m+148+5.6+5m+264.9+8
  • Item 669770.0%10 games
    17.2%

    Avg 10.0m to complete

    GoldCSAt completion+48.9-1.6+1m+233.6-2.6+2m+169.1-2.1+3m+124.7-0.6+4m+92.3-1+5m+155.6+2.6

Core 2· 50 games

  • Item 669964.4%45 games
    90.0%

    Avg 16.1m to complete

    GoldCSAt completion+193.1+7+1m+486.3+11.3+2m+827.3+16.3+3m+1176.6+20.5+4m+1725.5+25.4+5m+2575.6+30.2
  • Item 633360.0%5 games
    10.0%

    Avg 17.3m to complete

    GoldCSAt completion+354.4+8.8+1m-124.5+9.5+2m-809.5+9.5+3m-617+20.5

Core 3· 33 games

  • Item 633369.0%29 games
    87.9%

    Avg 21.4m to complete

    GoldCSAt completion+2983+34.8+1m+3461.6+36.3+2m+4024.5+47.3+3m+5108+95
  • Item 315650.0%*2 games
    6.1%

    Avg 21.4m to complete

    GoldCSAt completion+3279+76
  • Item 3161100.0%*1 games
    3.0%

    Avg 21.4m to complete

  • Item 30330.0%*1 games
    3.0%

    Avg 25.5m to complete

Boots

Tier-2 boots adoption

56.1%

32 games53.1%

35.1%

20 games70.0%

8.8%

5 games80.0%

Skill order

Master priority · level-up distribution

1 variants · 58 games total
  • QEW
    58 games62.1%

    19 level-up orders merged

Runes

Primary · secondary · shards

Rune page · 58 games total3 variants
  • Rune 8000
    Rune 8300
    49 games63.3%

    Primary

    Secondary

    Shards

  • Rune 8000
    Rune 8300
    8 games50.0%

    Primary

    Secondary

    Shards

  • Rune 8000
    Rune 8300
    1 games100.0%

    Primary

    Secondary

    Shards

Stat shard combos

Win rate · adoption per 3-shard combo

ShardsGames
61.4%98.3%57
100.0%1.7%1

Summoner spells

Spell pair distribution

Summoner spell pairs · 58 games total1 variants
  • 58 games62.1%

Item path

Core purchase order

Core order (boots · legendary) · 58 games total18 variants
  • 16 games62.5%
  • 13 games53.8%
  • 6 games50.0%
  • 5 games40.0%
  • 3 games66.7%
  • 3 games66.7%

Looking at Ambessa in the Jungle role on patch 16.19, the record covers 58 games at a 62.1% win rate. All 58 games in this patch sample come from solo queue. With no competitive appearances, the pick priority here can differ from what pro drafts show. By sample size, the lane has been shared most often with Lee Sin, Zyra, Naafiri.

Against Lee Sin, the record is 75.0% across 12 games, above the average. The sample points to a favorable lane in that matchup.

Pro match reportTournament metrics · match-ups · per player