¯\_(ツ)_/¯ — CS2 Stats
76561197975665619[U:1:15399891]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Reaction time. 627ms 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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| B | 25 | 13–12 | 52% | 0.00 | |
| B | 19 | 9–10 | 47% | 0.06 | |
| B | 12 | 6–6 | 50% | 0.05 | |
| A | 11 | 7–4 | 64% | 0.05 | |
| S | 11 | 10–1 | 91% | 0.07 | |
| B | 8 | 4–4 | 50% | 0.04 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| S | 6 | 5–1 | 83% | 0.01 | |
| thera | — | 1 | 0–1 | 0% | 0.12 |
| mills | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 62 | 63% | 1.06 | 15.8 |
| Nuke | 45 | 58% | 1.23 | 16.9 |
| Anubis | 35 | 54% | 1.11 | 16.5 |
| Inferno | 26 | 50% | 1.06 | 17.7 |
| Overpass | 17 | 71% | 1.38 | 19.1 |
| Mirage | 9 | 33% | 0.96 | 18.6 |
| Ancient | 9 | 22% | 1.10 | 17.0 |
| Vertigo | 4 | 50% | 1.31 | 19.5 |
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.
47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.02 | 27% | 26 Aug → | ||
| 13–8 | 0.01 | 20% | 2 Aug → | ||
| 8–13 | -0.06 | 18% | 25 Jul → | ||
| 13–9 | -0.01 | 29% | 25 Jul → | ||
| 3–13 | -0.12 | 13% | 25 Jul → | ||
| 13–3 | 0.05 | 34% | 10 Jun → | ||
| 12–12 | 0.10 | 14% | 10 Jun → | ||
| 12–12 | 0.12 | 23% | 10 Jun → | ||
| 12–12 | 0.10 | 23% | 10 Jun → | ||
| 13–3 | 0.05 | 14% | 10 Jun → | ||
| 9–13 | 0.01 | 24% | 29 Nov → | ||
| 6–13 | 0.05 | 26% | 10 Nov → | ||
| 16–14 | 0.02 | 20% | 10 Nov → | ||
| 13–7 | 0.02 | 23% | 10 Nov → | ||
| 13–10 | 0.09 | 16% | 10 Nov → | ||
| 13–8 | 0.10 | 20% | 10 Nov → | ||
| 14–16 | 0.10 | 19% | 30 Oct → | ||
| 13–2 | 0.06 | 27% | 30 Oct → | ||
| 7–13 | 0.02 | 19% | 17 Sept → | ||
| 13–10 | -0.00 | 21% | 17 Sept → | ||
| 12–12 | 0.11 | 15% | 1 Aug → | ||
| 8–13 | 0.13 | 25% | 1 Aug → | ||
| 9–13 | 0.01 | 19% | 22 Mar → | ||
| 13–6 | 0.03 | 13% | 22 Mar → | ||
| 8–0 | -0.00 | 100% | 2 Nov → | ||
| 16–14 | 0.05 | 16% | 28 Sept → | ||
| 13–11 | 0.02 | 18% | 28 Sept → | ||
| 1–13 | -0.01 | 28% | 27 Sept → | ||
| 13–10 | -0.07 | 18% | 21 Sept → | ||
| 12–16 | -0.03 | 12% | 20 Sept → | ||
| 13–8 | 0.09 | 19% | 15 Sept → | ||
| 3–13 | -0.04 | 23% | 15 Sept → | ||
| 13–3 | -0.02 | 19% | 15 Sept → | ||
| 11–13 | 0.04 | 27% | 12 Sept → | ||
| 10–13 | 0.03 | 25% | 12 Sept → | ||
| 9–13 | -0.03 | 27% | 11 Sept → | ||
| 13–11 | 0.10 | 27% | 11 Sept → | ||
| 13–4 | 0.13 | 36% | 11 Sept → | ||
| 7–13 | 0.16 | 33% | 10 Sept → | ||
| thera | 11–13 | 0.12 | 29% | 10 Sept → | |
| 6–13 | 0.10 | 33% | 10 Sept → | ||
| 13–5 | 0.11 | 28% | 6 Sept → | ||
| 13–4 | 0.14 | 28% | 6 Sept → | ||
| 13–10 | 0.06 | 35% | 21 Aug → | ||
| 13–6 | -0.04 | 28% | 21 Aug → | ||
| 13–16 | 0.04 | 26% | 18 Aug → | ||
| 8–13 | 0.01 | 27% | 18 Aug → | ||
| 13–8 | -0.05 | 36% | 5 Jul → | ||
| 19–16 | -0.00 | 33% | 5 Jul → | ||
| 13–9 | 0.09 | 20% | 2 Jul → | ||
| 9–13 | 0.03 | 27% | 2 Jul → | ||
| 13–10 | 0.15 | 34% | 30 Jun → | ||
| 5–13 | -0.03 | 19% | 30 Jun → | ||
| 13–8 | 0.00 | 23% | 30 Jun → | ||
| 16–13 | 0.04 | 11% | 30 Jun → | ||
| 13–9 | 0.07 | 22% | 30 Jun → | ||
| mills | 13–3 | -0.01 | 17% | 26 Jun → | |
| 10–13 | -0.07 | 19% | 3 May → | ||
| 16–13 | 0.05 | 21% | 30 Mar → | ||
| 13–9 | 0.03 | 36% | 30 Mar → | ||
| 16–13 | -0.05 | 22% | 30 Mar → | ||
| 13–6 | 0.14 | 25% | 26 Mar → | ||
| 13–10 | 0.14 | 15% | 26 Mar → | ||
| 13–9 | 0.02 | 25% | 26 Mar → | ||
| 2–13 | -0.01 | 28% | 24 Mar → | ||
| 13–10 | 0.06 | 31% | 24 Mar → | ||
| 7–13 | 0.04 | 29% | 24 Mar → | ||
| 10–13 | 0.09 | 25% | 23 Mar → | ||
| 13–3 | 0.11 | 22% | 23 Mar → | ||
| 13–6 | -0.02 | 27% | 23 Mar → | ||
| 13–10 | 0.04 | 23% | 23 Mar → | ||
| 13–8 | 0.06 | 28% | 23 Mar → | ||
| 13–5 | 0.06 | 26% | 21 Mar → | ||
| 13–11 | 0.21 | 18% | 15 Mar → | ||
| 13–10 | 0.07 | 24% | 15 Mar → | ||
| 10–13 | 0.01 | 28% | 15 Mar → | ||
| 13–6 | 0.22 | 25% | 15 Mar → | ||
| 10–16 | -0.05 | 24% | 30 Aug → | ||
| 16–8 | 0.03 | 10% | 30 Aug → | ||
| 19–17 | 0.02 | 21% | 30 Aug → | ||
| 11–16 | -0.03 | 23% | 30 Aug → | ||
| 8–16 | 0.04 | 20% | 23 Aug → | ||
| 12–16 | -0.06 | 10% | 23 Aug → | ||
| 16–14 | -0.06 | 16% | 23 Aug → | ||
| 7–16 | -0.06 | 16% | 23 Aug → | ||
| 11–16 | -0.02 | 16% | 19 Aug → | ||
| 19–16 | 0.05 | 10% | 19 Aug → | ||
| 16–0 | 0.12 | 14% | 19 Aug → | ||
| 16–3 | 0.03 | 15% | 16 Aug → | ||
| 16–11 | -0.01 | 5% | 16 Aug → | ||
| 7–16 | -0.03 | 11% | 16 Aug → | ||
| 16–13 | 0.08 | 18% | 14 Aug → | ||
| 16–13 | -0.02 | 16% | 14 Aug → | ||
| 12–16 | -0.03 | 13% | 13 Aug → | ||
| 16–12 | 0.03 | 17% | 13 Aug → | ||
| 16–12 | 0.09 | 13% | 13 Aug → | ||
| 11–16 | 0.03 | 16% | 13 Aug → | ||
| 11–16 | 0.04 | 12% | 12 Aug → | ||
| 9–16 | -0.06 | 10% | 12 Aug → | ||
| 5–16 | -0.03 | 13% | 30 Jul → |
Match data via Leetify.