~Violent~ P2
🔍
Cutoffs P1: 800 P2: 1,118 P3: 1,199 G1: 1,298 G2: 1,400 G3: 1,500 Ends In Calculating... Season 39 Last 200 games/rank
✕ Clear
ID P2 Score: 1147 Asia Database search key: violent
Last seen: Nov 12, 2026
🏆 Season Stats
Games685
Score / Peak 1147 / 1294
Win Rate 49.5%
Record339W – 346L
Δ Score (3d) +4
Δ Score (7d) +12
Streak 7 Loss
Games (7d)154
Win Rate (7d) 50.0%
Avg Games/Day (7d)22.00
📅 Recent Activity
Match Activity (Last 60 Days)
Score Trend
FROM
—
TO
—
+12 (7d) 22.0/day 50% (7d)

📝 Notes

Loading notes...

All Monster Picks

Element:
Stars:
PR >
Monster:
# ⇅ Monster ⇅ Played ⇅ Win Rate ⇅ PR ⇅ Ban Rate ⓘ ⇅ WR Excl. Ban ⓘ ⇅ Avg Slot ⓘ ⇅
1 572 50.7% 83.5% 16.8% 50.4% 1.5
2 551 52.6% 80.4% 21.6% 54.9% 2.7
3 478 49.2% 69.8% 13.6% 49.2% 2.1
4 310 48.7% 45.3% 12.3% 48.5% 3.1
5 220 51.8% 32.1% 28.2% 51.9% 4.0
6 128 54.7% 18.7% 25.8% 52.6% 4.5
7 123 50.4% 18.0% 29.3% 47.1% 3.9
8 102 47.1% 14.9% 15.7% 47.7% 2.8
9 90 48.9% 13.1% 23.3% 49.3% 4.3
10 78 50.0% 11.4% 26.9% 54.4% 3.6
11 61 42.6% 8.9% 21.3% 47.9% 3.9
12 60 51.7% 8.8% 6.7% 51.8% 4.2
13 58 46.6% 8.5% 17.2% 39.6% 1.8
14 54 48.1% 7.9% 20.4% 48.8% 2.9
15 48 50.0% 7.0% 25.0% 47.2% 4.1
16 48 39.6% 7.0% 20.8% 36.8% 4.3
17 40 40.0% 5.8% 10.0% 44.4% 3.0
18 38 47.4% 5.5% 34.2% 40.0% 4.3
19 32 53.1% 4.7% 37.5% 55.0% 3.5
20 32 65.6% 4.7% 18.8% 61.5% 4.4
21 29 37.9% 4.2% 24.1% 45.5% 2.0
22 28 46.4% 4.1% 17.9% 47.8% 3.4
23 27 37.0% 3.9% 14.8% 39.1% 4.7
24 26 50.0% 3.8% 23.1% 50.0% 4.4
25 21 33.3% 3.1% 14.3% 33.3% 4.1
26 20 20.0% 2.9% 20.0% 18.8% 3.2
27 18 50.0% 2.6% 38.9% 63.6% 3.8
28 16 62.5% 2.3% 43.8% 55.6% 4.4
29 14 28.6% 2.0% 42.9% 25.0% 3.9
30 11 27.3% 1.6% 27.3% 12.5% 4.5
31 10 70.0% 1.5% 40.0% 66.7% 3.3
32 10 30.0% 1.5% 10.0% 22.2% 4.8
33 8 25.0% 1.2% 37.5% 20.0% 4.4
34 8 50.0% 1.2% 25.0% 50.0% 4.8
35 7 42.9% 1.0% 42.9% 50.0% 3.8
36 7 42.9% 1.0% 28.6% 20.0% 4.8
37 7 57.1% 1.0% 100.0% — —
38 6 50.0% 0.9% 33.3% 50.0% 5.0
39 6 33.3% 0.9% 16.7% 20.0% 4.2
40 5 60.0% 0.7% 80.0% 0.0% 4.0
41 4 25.0% 0.6% 25.0% 33.3% 5.0
42 3 33.3% 0.4% 0.0% 33.3% 4.0
43 3 0.0% 0.4% 33.3% 0.0% 4.0
44 2 50.0% 0.3% 0.0% 50.0% 5.0
45 2 0.0% 0.3% 50.0% 0.0% 4.0
46 2 0.0% 0.3% 50.0% 0.0% 3.0
47 2 50.0% 0.3% 0.0% 50.0% 4.5
48 2 50.0% 0.3% 0.0% 50.0% 4.5
49 2 100.0% 0.3% 0.0% 100.0% 3.5
50 2 50.0% 0.3% 0.0% 50.0% 4.0
51 1 0.0% 0.1% 0.0% 0.0% 4.0
52 1 0.0% 0.1% 0.0% 0.0% 5.0
53 1 0.0% 0.1% 0.0% 0.0% 5.0
54 1 100.0% 0.1% 0.0% 100.0% 4.0
55 1 0.0% 0.1% 0.0% 0.0% 5.0
56 1 0.0% 0.1% 0.0% 0.0% 5.0
57 1 0.0% 0.1% 100.0% — —
58 1 0.0% 0.1% 0.0% 0.0% 3.0
59 1 0.0% 0.1% 0.0% 0.0% 4.0

📋 Match History

Overall
49.5% (339W – 346L)
Showing 1–20 of 688 · Page 1 of 35
✕ Clear
Nov 12, 2026 at 04:31 PM
Nov 12, 2026 at 04:26 PM
Nov 12, 2026 at 04:23 PM
Nov 12, 2026 at 04:19 PM
Nov 12, 2026 at 03:56 PM
Nov 12, 2026 at 03:50 PM
Nov 12, 2026 at 03:43 PM
Nov 12, 2026 at 03:39 PM
Nov 12, 2026 at 03:37 PM
Nov 12, 2026 at 03:32 PM
Nov 12, 2026 at 03:27 PM
Nov 12, 2026 at 03:23 PM
Nov 12, 2026 at 03:21 PM
Nov 12, 2026 at 03:16 PM
Nov 12, 2026 at 03:12 PM
Nov 12, 2026 at 03:09 PM
Nov 12, 2026 at 03:04 PM
Nov 12, 2026 at 03:01 PM
Nov 12, 2026 at 02:57 PM
Nov 12, 2026 at 02:53 PM

⚔️ vs Opponent Monster

Win rate when the opponent's team includes this monster (3+ games shown).

Monster ⇅ G ⇅ WR% ⇅ Replays
134 44.0% View ↗
116 46.6% View ↗
105 41.9% View ↗
104 41.3% View ↗
91 50.5% View ↗
90 53.3% View ↗
90 48.9% View ↗
88 63.6% View ↗
88 46.6% View ↗
87 49.4% View ↗
86 46.5% View ↗
68 52.9% View ↗
64 43.8% View ↗
62 53.2% View ↗
62 45.2% View ↗
57 52.6% View ↗
55 61.8% View ↗
55 50.9% View ↗
49 57.1% View ↗
48 64.6% View ↗
45 48.9% View ↗
44 45.5% View ↗
39 64.1% View ↗
36 55.6% View ↗
36 47.2% View ↗
35 60.0% View ↗
34 52.9% View ↗
30 53.3% View ↗
30 53.3% View ↗
30 43.3% View ↗
29 51.7% View ↗
28 50.0% View ↗
28 39.3% View ↗
28 67.9% View ↗
28 53.6% View ↗
25 52.0% View ↗
23 39.1% View ↗
23 43.5% View ↗
22 77.3% View ↗
22 31.8% View ↗
22 40.9% View ↗
21 47.6% View ↗
21 52.4% View ↗
20 35.0% View ↗
20 60.0% View ↗
20 70.0% View ↗
19 31.6% View ↗
19 57.9% View ↗
18 44.4% View ↗
18 61.1% View ↗

🔗 vs Opponent Monster Duo

Win rate when the opponent runs these two monsters together (3+ games shown).

DuoG ⇅WR% ⇅Replays
Shi Hou (Water)
+ Oliver (Wind)
41 51.2% View ↗
Woosa (Water)
+ Duke / Paul Phoenix (Fire)
36 61.1% View ↗
Xing Zhe (Wind)
+ Woosa (Water)
35 51.4% View ↗
Juno (Fire)
+ Josephine (Water)
30 36.7% View ↗
Juno (Fire)
+ Oliver (Wind)
27 37.0% View ↗
Josephine (Water)
+ Oliver (Wind)
25 36.0% View ↗
Vanessa (Fire)
+ Sonia (Wind)
25 44.0% View ↗
Giana (Dark)
+ Oliver (Wind)
24 50.0% View ↗
Seara (Wind)
+ Giana (Dark)
23 56.5% View ↗
Okeanos (Fire)
+ Oliver (Wind)
23 39.1% View ↗
Seara (Wind)
+ Josephine (Water)
21 28.6% View ↗
Oliver (Wind)
+ Sonia (Wind)
21 57.1% View ↗
Oliver (Wind)
+ Layla (Wind)
20 45.0% View ↗
Chow (Water)
+ Oliver (Wind)
20 40.0% View ↗
Laima (Light)
+ Oliver (Wind)
20 45.0% View ↗
Juno (Fire)
+ Seara (Wind)
19 31.6% View ↗
Seara (Wind)
+ Oliver (Wind)
19 57.9% View ↗
Woosa (Water)
+ Gapsoo (Dark)
19 47.4% View ↗
Shi Hou (Water)
+ Sonia (Wind)
19 47.4% View ↗
Vanessa (Fire)
+ Josephine (Water)
19 47.4% View ↗
Xing Zhe (Wind)
+ Duke / Paul Phoenix (Fire)
18 50.0% View ↗
Josephine (Water)
+ Stark (Wind)
18 38.9% View ↗
Woosa (Water)
+ Bolverk (Water)
17 70.6% View ↗
Seara (Wind)
+ Shi Hou (Water)
17 47.1% View ↗
Vanessa (Fire)
+ Stark (Wind)
17 58.8% View ↗
Shi Hou (Water)
+ Okeanos (Fire)
17 41.2% View ↗
Woosa (Water)
+ Sonia (Wind)
17 41.2% View ↗
Juno (Fire)
+ Chow (Water)
17 47.1% View ↗
Seara (Wind)
+ Sonia (Wind)
16 62.5% View ↗
Woosa (Water)
+ Stark (Wind)
16 68.8% View ↗

👤 vs Player

Head-to-head record against individual opponents (2+ games shown), with quick access to the underlying replays.

Player ⇅ G ⇅ Record WR% ⇅ Replays
5 3W – 2L 60.0% View ↗
5 1W – 4L 20.0% View ↗
4 2W – 2L 50.0% View ↗
3 2W – 1L 66.7% View ↗
3 3W – 0L 100.0% View ↗
3 1W – 2L 33.3% View ↗
3 1W – 2L 33.3% View ↗
3 1W – 2L 33.3% View ↗
3 1W – 2L 33.3% View ↗
3 1W – 2L 33.3% View ↗
3 1W – 2L 33.3% View ↗
3 1W – 2L 33.3% View ↗
3 3W – 0L 100.0% View ↗
3 3W – 0L 100.0% View ↗
3 2W – 1L 66.7% View ↗
3 1W – 2L 33.3% View ↗
3 1W – 2L 33.3% View ↗
3 2W – 1L 66.7% View ↗
3 3W – 0L 100.0% View ↗
3 2W – 1L 66.7% View ↗
3 1W – 2L 33.3% View ↗
2 2W – 0L 100.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 1L 50.0% View ↗
2 1W – 1L 50.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 1L 0.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 2W – 0L 100.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 1L 50.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 2W – 0L 100.0% View ↗
2 2W – 0L 100.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 1L 50.0% View ↗
2 1W – 1L 50.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 0L 50.0% View ↗
2 2W – 0L 100.0% View ↗
2 2W – 0L 100.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 2W – 0L 100.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 0W – 2L 0.0% View ↗
2 2W – 0L 100.0% View ↗
2 2W – 0L 100.0% View ↗
2 0W – 2L 0.0% View ↗
2 1W – 1L 50.0% View ↗
2 1W – 0L 50.0% View ↗
2 1W – 1L 50.0% View ↗
2 1W – 1L 50.0% View ↗

📊 vs Score Differential

Positive = opponent is higher-scored than this player.

BracketGWWR%
vs +50 Higher 2 2 100.0%
vs +25 to +49 34 12 35.3%
vs Similar (±24) 564 272 48.2%
vs -25 to -49 84 52 61.9%
vs -50+ Lower 4 1 25.0%

🌍 vs Opponent Country

Win rate by opponent's country (3+ games shown).

Country ⇅ G ⇅ W ⇅ WR% ⇅
CN 106 51 48.1%
TH 75 35 46.7%
US 60 36 60.0%
JP 56 23 41.1%
FR 52 24 46.2%
BR 51 24 47.1%
VN 47 27 57.4%
KR 41 18 43.9%
DE 37 16 43.2%
ID 19 12 63.2%
HK 16 9 56.3%
RU 9 8 88.9%
TW 8 4 50.0%
PT 8 6 75.0%
GB 8 2 25.0%
CA 7 4 57.1%
ES 6 1 16.7%
CL 5 3 60.0%
BE 4 4 100.0%
SE 4 2 50.0%
SG 4 4 100.0%
PM 3 2 66.7%
UNKNOWN 3 1 33.3%
NO 3 1 33.3%
IT 3 0 0.0%
PL 3 1 33.3%
PH 3 2 66.7%
AU 3 1 33.3%