LPL · Patch 15.16 · Split 3
Aug 25, 2025, 10:51 AM · 30.1 min · Game 3Scouting line
LGD Gaming closed it: +9.6k team gold.
Lane matchups
Gold, XP and CS at 15. Each bar grows toward the side that was ahead.
1Jiang
2/3/4
sasi
3/1/10
Junhao
2/2/3
Climber
2/1/12
Saber
2/2/4
xqw
5/2/8
Baiye
2/5/4
Shaoye
6/1/8
Xiaoxia
0/4/6
Ycx
0/3/13
Player duel
Both players of the lane side by side in this game. The strong bar marks who did better.
1Jiang
Ambessa · 2/3/4
411
Better in 4 x 11 of 15
sasi
Udyr · 3/1/10![]()
- 2
- Kills
- 3
- 3
- Deaths
- 1
- 4
- Assists
- 10
- 2.0
- KDA
- 13.0
- 75%
- Kill participation
- 81%
- 249
- CS
- 260
- 8.3
- CS per minute
- 8.6
- 10,329
- Gold
- 12,428
- 20%
- Gold share
- 21%
- 26,509
- Damage to champions
- 14,119
- 881
- Damage per minute
- 469
- 38%
- Damage share
- 19%
- 1,097
- Damage taken per minute
- 1,024
- 31
- Vision score
- 32
- 15
- Wards placed
- 9
- 2
- Wards killed
- 5
Draft
Ultra Prime
Blue sideFirst pick
Ambessa1Jiang
NaafiriJunhao
AhriSaber
KalistaBaiye
Renata GlascXiaoxia
LGD Gaming
Red side
Udyrsasi
ViClimber
Auroraxqw
CorkiShaoye
BardYcx
Objectives
- 0
- Gold at 15
- -0
- 2
- Dragons
- 1
- 1
- Void grubs
- 2
- 0
- Heralds
- 1
- 0
- Barons
- 1
- 2
- Towers
- 9
- 0
- Plates
- 0
- 0
- Inhibitors
- 2
First blood
First dragon
First tower
Gold over the game
Gold lead at 10, 15, 20 and 25 minutes and at the end. Above the line Ultra Prime leads; below, LGD Gaming.
Biggest lead: Ultra Prime +0, LGD Gaming +9,622. Oracle records only these marks, so the curve joins the points without what happened between them.
| 0 min | 0 |
|---|---|
| 10 min | 0 |
| 15 min | 0 |
| End (30 min) | LGD Gaming +9,622 |
Builds by lane
Each player's runes, spells and final items, lane against lane. Gold border: an item or rune pros used in under 10% of that champion's games in 2025.
Uncommon choices in this game
Runaan's HurricaneBaiye, in 1.4% of the champion's games
Armored Advancesasi, in 5.1% of the champion's games
Executioner's Calling1Jiang, in 5.3% of the champion's games
Crimson LucidityYcx, in 7.5% of the champion's games
Last WhisperShaoye, in 9.6% of the champion's games
Unsealed SpellbookXiaoxia, in 15% of the champion's games
1JiangAmbessa
sasiUdyr
JunhaoNaafiri
ClimberVi
SaberAhri
xqwAurora
BaiyeKalista
ShaoyeCorki
XiaoxiaRenata Glasc
YcxBard
Builds from the Leaguepedia scoreboard; the share counts pro games from every league in the season.
Blue side
Ultra Prime
DefeatRed side
LGD Gaming
VictoryFull stats
| Stat | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| K/D/A | 2/3/4 | 2/2/3 | 2/2/4 | 2/5/4 | 0/4/6 | 3/1/10 | 2/1/12 | 5/2/8 | 6/1/8 | 0/3/13 |
| Kill participation | 75% | 62.5% | 75% | 75% | 75% | 81.3% | 87.5% | 81.3% | 87.5% | 81.3% |
| CS | 249 | 222 | 268 | 278 | 40 | 260 | 239 | 225 | 299 | 50 |
| CS per minute | 8.3 | 7.4 | 8.9 | 9.2 | 1.3 | 8.6 | 7.9 | 7.5 | 9.9 | 1.7 |
| Gold | 10,329 | 10,075 | 11,297 | 12,665 | 6,421 | 12,428 | 12,680 | 12,504 | 14,912 | 7,885 |
| Gold share | 20.3% | 19.8% | 22.2% | 24.9% | 12.6% | 20.6% | 21% | 20.7% | 24.7% | 13.1% |
| Earned gold per minute | 212 | 203 | 244 | 289 | 82 | 282 | 290 | 284 | 364 | 131 |
| Damage to champions | 26,509 | 8,106 | 15,814 | 15,083 | 5,155 | 14,119 | 10,142 | 18,117 | 25,000 | 7,448 |
| Damage share | 37.5% | 11.5% | 22.4% | 21.3% | 7.3% | 18.9% | 13.6% | 24.2% | 33.4% | 10% |
| Damage per minute | 881 | 269 | 526 | 501 | 171 | 469 | 337 | 602 | 831 | 248 |
| Damage taken per minute | 1,097 | 892 | 496 | 578 | 439 | 1,024 | 814 | 488 | 492 | 495 |
| Vision score | 31 | 48 | 27 | 23 | 110 | 32 | 58 | 31 | 34 | 138 |
| Wards placed | 15 | 9 | 6 | 12 | 63 | 9 | 6 | 8 | 13 | 51 |
| Wards killed | 2 | 13 | 6 | 5 | 16 | 5 | 16 | 7 | 8 | 28 |
| Control wards | 10 | 7 | 3 | 4 | 16 | 3 | 4 | 5 | 4 | 16 |
| Gold spent | 9,904 | 9,865 | 11,194 | 11,920 | 5,866 | 11,100 | 11,074 | 12,299 | 12,613 | 6,325 |
| Own jungle monsters | 0 | 151 | 1 | 8 | 0 | 0 | 151 | 0 | 4 | 0 |
| Enemy jungle monsters | 0 | 8 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 |
| Multikills | — | — | — | — | — | — | — | — | — | — |
Game ID 12638-12638_game_3
Methodology →