h — CS2 Stats
76561198214862963[U:1:254597235]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited utility dependence
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 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 68% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 606ms 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 7.1/10 (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 |
|---|---|---|---|---|---|
| A | 34 | 19–15 | 56% | 0.02 | |
| A | 25 | 16–9 | 64% | 0.02 | |
| D | 9 | 1–8 | 11% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.04 | |
| C | 8 | 3–5 | 38% | 0.05 | |
| D | 7 | 2–5 | 29% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno 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 |
|---|---|---|---|---|
| Mirage | 12 | 92% | 2.06 | 18.8 |
| Anubis | 4 | 75% | 1.14 | 18.5 |
| Dust2 | 4 | 75% | 1.31 | 20.5 |
| Inferno | 4 | 100% | 1.20 | 17.8 |
| Nuke | 4 | 25% | 1.10 | 14.8 |
| Overpass | 3 | 67% | 1.40 | 21.7 |
| Ancient | 1 | 100% | 1.00 | 13.0 |
| Train | 1 | 100% | 0.71 | 10.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.0184% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.03 | 15% | 5 Aug → | ||
| 10–1 | 0.11 | 11% | 5 Aug → | ||
| 8–13 | -0.06 | 18% | 5 Aug → | ||
| 13–7 | 0.01 | 7% | 5 Aug → | ||
| 9–13 | 0.00 | 24% | 5 Aug → | ||
| 13–7 | 0.08 | 21% | 4 Aug → | ||
| 6–13 | 0.06 | 30% | 28 Jul → | ||
| 13–9 | 0.09 | 20% | 28 Jul → | ||
| 13–7 | -0.00 | 31% | 14 Jul → | ||
| 13–9 | -0.01 | 40% | 13 Jul → | ||
| 11–13 | -0.03 | 14% | 13 Jul → | ||
| 4–13 | -0.06 | 16% | 1 Jul → | ||
| 13–9 | 0.04 | 16% | 1 Jul → | ||
| 0–2 | -0.00 | 0% | 1 Jul → | ||
| 3–13 | -0.08 | 11% | 1 Jul → | ||
| 9–13 | -0.03 | 22% | 1 Jul → | ||
| 13–4 | 0.01 | 31% | 20 Jun → | ||
| 13–10 | 0.03 | 28% | 20 Jun → | ||
| 8–13 | -0.02 | 10% | 20 Jun → | ||
| 13–10 | 0.05 | 25% | 20 Jun → | ||
| 3–13 | 0.02 | 17% | 15 Jun → | ||
| 13–10 | -0.08 | 13% | 30 May → | ||
| 13–7 | 0.02 | 25% | 30 May → | ||
| 13–1 | -0.03 | 20% | 30 May → | ||
| 11–13 | 0.02 | 9% | 20 May → | ||
| 13–8 | 0.03 | 17% | 20 May → | ||
| 13–8 | 0.11 | 20% | 19 May → | ||
| 13–10 | 0.02 | 20% | 19 May → | ||
| 12–12 | 0.01 | 30% | 11 May → | ||
| 13–7 | -0.01 | 24% | 6 May → | ||
| 9–13 | 0.09 | 25% | 6 May → | ||
| 13–3 | 0.14 | 23% | 28 Apr → | ||
| 13–7 | -0.03 | 10% | 28 Apr → | ||
| 5–13 | -0.01 | 5% | 28 Apr → | ||
| 13–16 | 0.06 | 18% | 28 Apr → | ||
| 12–16 | -0.05 | 21% | 22 Apr → | ||
| 13–5 | 0.05 | 22% | 22 Apr → | ||
| 13–10 | 0.05 | 25% | 22 Apr → | ||
| 6–13 | 0.02 | 26% | 22 Apr → | ||
| 9–13 | 0.03 | 23% | 22 Apr → | ||
| 2–13 | -0.09 | 10% | 13 Apr → | ||
| 7–13 | -0.01 | 13% | 13 Apr → | ||
| 9–13 | 0.07 | 20% | 13 Apr → | ||
| 11–13 | 0.02 | 11% | 13 Apr → | ||
| 6–13 | -0.05 | 16% | 11 Apr → | ||
| 13–9 | 0.06 | 26% | 11 Apr → | ||
| 13–6 | -0.04 | 11% | 11 Apr → | ||
| 3–13 | -0.01 | 18% | 11 Apr → | ||
| 9–13 | 0.00 | 23% | 10 Apr → | ||
| 11–13 | 0.03 | 21% | 10 Apr → | ||
| 13–6 | 0.12 | 18% | 8 Apr → | ||
| 13–11 | 0.08 | 19% | 8 Apr → | ||
| 13–2 | 0.06 | 18% | 8 Apr → | ||
| 13–7 | 0.09 | 19% | 5 Apr → | ||
| 13–7 | -0.02 | 22% | 2 Apr → | ||
| 14–16 | 0.06 | 21% | 2 Apr → | ||
| 12–12 | 0.03 | 44% | 2 Apr → | ||
| 13–16 | 0.01 | 19% | 31 Mar → | ||
| 11–13 | 0.04 | 8% | 31 Mar → | ||
| 13–2 | 0.01 | 11% | 31 Mar → | ||
| 13–10 | 0.03 | 18% | 29 Mar → | ||
| 9–13 | 0.02 | 13% | 26 Mar → | ||
| 13–8 | 0.09 | 22% | 26 Mar → | ||
| 6–13 | -0.02 | 17% | 24 Mar → | ||
| 13–10 | 0.10 | 20% | 24 Mar → | ||
| 9–13 | 0.01 | 11% | 21 Mar → | ||
| 5–13 | -0.04 | 14% | 21 Mar → | ||
| 13–6 | 0.13 | 13% | 18 Mar → | ||
| 3–13 | -0.07 | 14% | 18 Mar → | ||
| 9–13 | 0.02 | 16% | 16 Mar → | ||
| 13–7 | 0.07 | 20% | 16 Mar → | ||
| 5–13 | -0.05 | 12% | 13 Mar → | ||
| 11–13 | 0.01 | 28% | 13 Mar → | ||
| 13–7 | 0.10 | 27% | 13 Mar → | ||
| 13–8 | -0.03 | 33% | 12 Mar → | ||
| 13–5 | 0.00 | 23% | 12 Mar → | ||
| 13–9 | 0.02 | 18% | 12 Mar → | ||
| 13–8 | -0.01 | 9% | 12 Mar → | ||
| 4–0 | 0.04 | 17% | 6 Mar → | ||
| 14–16 | -0.01 | 21% | 6 Mar → | ||
| 13–7 | 0.03 | 15% | 6 Mar → | ||
| 4–13 | 0.05 | 17% | 6 Mar → | ||
| 16–14 | 0.11 | 21% | 27 Feb → | ||
| 13–3 | 0.20 | 17% | 27 Feb → | ||
| 9–13 | 0.07 | 26% | 27 Feb → | ||
| 10–13 | 0.07 | 20% | 20 Feb → | ||
| 10–13 | 0.03 | 14% | 20 Feb → | ||
| 11–13 | -0.02 | 14% | 20 Feb → | ||
| 7–13 | 0.03 | 25% | 9 Feb → | ||
| 14–16 | 0.01 | 15% | 9 Feb → | ||
| 9–13 | -0.03 | 15% | 7 Feb → | ||
| 13–5 | 0.00 | 33% | 7 Feb → | ||
| 4–13 | 0.02 | 17% | 7 Feb → | ||
| 11–13 | -0.02 | 14% | 7 Feb → | ||
| 13–10 | 0.05 | 28% | 6 Feb → | ||
| 13–7 | 0.03 | 21% | 2 Feb → | ||
| 13–7 | -0.03 | 7% | 2 Feb → | ||
| 13–5 | 0.07 | 21% | 26 Jan → | ||
| 13–5 | 0.08 | 21% | 26 Jan → | ||
| 11–13 | -0.00 | 38% | 21 Jan → |
Match data via Leetify.
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