ezSuna — CS2 Stats
76561198825133074[U:1:864867346]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 47.5% | 52.8% |
| Shot accuracy | 13.0% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 47.0% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like ZywOo 93% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| C | 23 | 9–14 | 39% | 0.02 | |
| A | 22 | 14–8 | 64% | 0.03 | |
| B | 22 | 10–12 | 45% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| C | 8 | 3–5 | 38% | 0.00 | |
| S | 7 | 5–2 | 71% | 0.00 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 645 | 51% | 1.17 | 17.6 |
| Nuke | 616 | 57% | 1.24 | 18.2 |
| Mirage | 584 | 46% | 1.09 | 17.3 |
| Anubis | 208 | 45% | 1.01 | 15.6 |
| Vertigo | 190 | 57% | 1.19 | 17.1 |
| Train | 166 | 54% | 1.23 | 18.2 |
| Dust2 | 114 | 40% | 1.00 | 16.3 |
| Inferno | 106 | 42% | 1.07 | 15.9 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–13 | -0.01 | 22% | 23 Aug → | ||
| 11–13 | 0.02 | 23% | 23 Aug → | ||
| 9–13 | 0.03 | 25% | 23 Aug → | ||
| 11–13 | 0.05 | 25% | 22 Aug → | ||
| 13–9 | 0.14 | 23% | 22 Aug → | ||
| 2–13 | -0.09 | 31% | 22 Aug → | ||
| 25–23 | 0.03 | 21% | 22 Aug → | ||
| 13–11 | 0.09 | 47% | 22 Aug → | ||
| 7–13 | 0.05 | 34% | 22 Aug → | ||
| 13–9 | 0.05 | 26% | 22 Aug → | ||
| 13–3 | -0.00 | 0% | 22 Aug → | ||
| 13–9 | 0.01 | 22% | 22 Aug → | ||
| 1–13 | -0.05 | 35% | 22 Aug → | ||
| 13–7 | -0.01 | 17% | 18 Aug → | ||
| 16–14 | 0.03 | 22% | 18 Aug → | ||
| 8–13 | 0.05 | 25% | 18 Aug → | ||
| 13–5 | 0.10 | 24% | 18 Aug → | ||
| 13–8 | 0.04 | 24% | 18 Aug → | ||
| 13–9 | -0.00 | 27% | 18 Aug → | ||
| 13–6 | 0.08 | 32% | 17 Aug → | ||
| 13–6 | 0.04 | 27% | 17 Aug → | ||
| 13–8 | 0.10 | 30% | 17 Aug → | ||
| 13–7 | 0.01 | 17% | 17 Aug → | ||
| 8–13 | 0.07 | 35% | 17 Aug → | ||
| 4–13 | 0.02 | 25% | 17 Aug → | ||
| 13–9 | 0.02 | 19% | 16 Aug → | ||
| 13–8 | 0.05 | 25% | 16 Aug → | ||
| 16–14 | 0.01 | 37% | 16 Aug → | ||
| 13–4 | 0.06 | 21% | 16 Aug → | ||
| 3–13 | -0.02 | 32% | 16 Aug → | ||
| 14–16 | 0.04 | 21% | 16 Aug → | ||
| 4–8 | -0.00 | 41% | 16 Aug → | ||
| 13–16 | 0.02 | 29% | 15 Aug → | ||
| 4–13 | -0.07 | 29% | 15 Aug → | ||
| 11–4 | 0.09 | 28% | 15 Aug → | ||
| 13–9 | 0.02 | 29% | 13 Aug → | ||
| 16–14 | 0.03 | 25% | 13 Aug → | ||
| 14–16 | 0.04 | 26% | 9 Aug → | ||
| 13–4 | 0.08 | 23% | 9 Aug → | ||
| 13–6 | 0.06 | 21% | 8 Aug → | ||
| 5–13 | 0.01 | 33% | 8 Aug → | ||
| 13–5 | 0.02 | 27% | 8 Aug → | ||
| 13–5 | 0.08 | 39% | 2 Aug → | ||
| 13–2 | 0.01 | 29% | 2 Aug → | ||
| 13–10 | 0.12 | 27% | 2 Aug → | ||
| 8–8 | -0.05 | 24% | 1 Aug → | ||
| 10–13 | -0.05 | 27% | 31 Jul → | ||
| 13–11 | 0.02 | 23% | 26 Jul → | ||
| 16–13 | -0.00 | 25% | 19 Jul → | ||
| 11–13 | 0.02 | 25% | 11 Jul → | ||
| 13–7 | -0.05 | 19% | 5 Jul → | ||
| 13–7 | 0.01 | 23% | 5 Jul → | ||
| 11–13 | 0.05 | 26% | 2 Jul → | ||
| 10–13 | -0.05 | 10% | 24 Jun → | ||
| 11–13 | 0.01 | 31% | 24 Jun → | ||
| 6–13 | -0.07 | 19% | 23 Jun → | ||
| 6–13 | 0.04 | 24% | 22 Jun → | ||
| 8–13 | 0.00 | 31% | 22 Jun → | ||
| 3–13 | -0.03 | 14% | 21 Jun → | ||
| 4–13 | -0.08 | 10% | 21 Jun → | ||
| 13–10 | 0.01 | 35% | 20 Jun → | ||
| 10–13 | -0.03 | 38% | 20 Jun → | ||
| 13–1 | 0.12 | 30% | 20 Jun → | ||
| 10–13 | 0.06 | 28% | 18 Jun → | ||
| 9–13 | 0.01 | 40% | 13 Jun → | ||
| 13–10 | -0.01 | 16% | 13 Jun → | ||
| 13–11 | 0.03 | 20% | 13 Jun → | ||
| 7–13 | -0.03 | 18% | 13 Jun → | ||
| 13–2 | 0.01 | 27% | 12 Jun → | ||
| 13–11 | 0.04 | 16% | 7 Jun → | ||
| 13–4 | 0.02 | 37% | 5 Jun → | ||
| 13–7 | -0.02 | 31% | 5 Jun → | ||
| 5–13 | -0.03 | 22% | 5 Jun → | ||
| 15–19 | -0.07 | 16% | 30 May → | ||
| 13–16 | 0.01 | 7% | 29 May → | ||
| 13–8 | 0.09 | 28% | 28 May → | ||
| 11–13 | 0.04 | 25% | 28 May → | ||
| 9–13 | 0.09 | 26% | 17 May → | ||
| 13–11 | 0.01 | 17% | 17 May → | ||
| 4–13 | -0.04 | 29% | 3 May → | ||
| 4–13 | -0.03 | 27% | 2 May → | ||
| 8–13 | 0.00 | 27% | 2 May → | ||
| 13–8 | 0.00 | 22% | 2 May → | ||
| 7–13 | -0.01 | 36% | 1 May → | ||
| 3–13 | -0.05 | 28% | 1 May → | ||
| 10–13 | -0.05 | 24% | 1 May → | ||
| 2–13 | 0.05 | 30% | 1 May → | ||
| 13–10 | 0.01 | 19% | 20 Apr → | ||
| 16–13 | -0.02 | 21% | 19 Apr → | ||
| 11–13 | -0.03 | 32% | 19 Apr → | ||
| 12–12 | 0.05 | 20% | 17 Apr → | ||
| 10–13 | -0.02 | 39% | 17 Apr → | ||
| 0–7 | -0.04 | 33% | 17 Apr → | ||
| 10–13 | -0.08 | 31% | 17 Apr → | ||
| 10–13 | -0.05 | 21% | 11 Apr → | ||
| 9–13 | -0.02 | 26% | 3 Apr → | ||
| 13–10 | -0.01 | 21% | 3 Apr → | ||
| 13–6 | -0.00 | 18% | 3 Apr → | ||
| 10–13 | -0.03 | 43% | 3 Apr → | ||
| 13–2 | -0.01 | 23% | 3 Apr → |
Match data via Leetify.