oSee — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.11 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 97% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Aim. Aim score of 95 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 72% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
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 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 27 | 21–6 | 78% | 0.02 | |
| A | 16 | 9–7 | 56% | 0.01 | |
| D | 14 | 4–10 | 29% | -0.01 | |
| C | 14 | 6–8 | 43% | 0.04 | |
| D | 14 | 4–10 | 29% | -0.00 | |
| D | 7 | 2–5 | 29% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 411 | 63% | 1.46 | 20.2 |
| Dust2 | 206 | 71% | 1.62 | 20.0 |
| Ancient | 196 | 66% | 1.51 | 18.9 |
| Anubis | 166 | 61% | 1.53 | 18.8 |
| Inferno | 89 | 75% | 1.54 | 17.1 |
| Overpass | 75 | 72% | 1.56 | 19.8 |
| Vertigo | 45 | 71% | 1.43 | 18.6 |
| Nuke | 43 | 51% | 1.45 | 18.1 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 32.8424% — 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.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.02 | 29% | 15 Jul → | ||
| 13–5 | -0.00 | 10% | 15 Jul → | ||
| 11–1 | 0.06 | 21% | 15 Jul → | ||
| 13–9 | 0.04 | 22% | 15 Jul → | ||
| 10–13 | 0.13 | 24% | 10 Jul → | ||
| 12–12 | 0.19 | 24% | 10 Jul → | ||
| 11–13 | 0.28 | 22% | 9 Jul → | ||
| 16–12 | 0.04 | 29% | 5 Jun → | ||
| 12–16 | -0.03 | 14% | 5 Jun → | ||
| 5–12 | 0.00 | 32% | 5 Jun → | ||
| 0–1 | -0.12 | 0% | 5 Jun → | ||
| 6–13 | -0.05 | 15% | 4 Jun → | ||
| 13–10 | -0.04 | 8% | 3 Jun → | ||
| 13–6 | -0.03 | 17% | 2 Jun → | ||
| 10–13 | -0.02 | 33% | 2 Jun → | ||
| 13–10 | -0.01 | 33% | 21 May → | ||
| 10–13 | -0.05 | 18% | 20 May → | ||
| 3–13 | -0.03 | 35% | 12 May → | ||
| 11–13 | 0.01 | 12% | 12 May → | ||
| 13–16 | -0.04 | 4% | 11 May → | ||
| 11–13 | -0.00 | 14% | 26 Apr → | ||
| 13–9 | 0.01 | 18% | 26 Apr → | ||
| 4–13 | -0.11 | 8% | 26 Apr → | ||
| 13–8 | -0.02 | 14% | 25 Apr → | ||
| 13–3 | 0.02 | 15% | 25 Apr → | ||
| 13–1 | 0.09 | 29% | 25 Apr → | ||
| 13–0 | 0.08 | 21% | 25 Apr → | ||
| 6–13 | -0.01 | 31% | 7 Apr → | ||
| 6–13 | -0.01 | 16% | 7 Apr → | ||
| 14–16 | -0.01 | 29% | 6 Apr → | ||
| 6–13 | -0.02 | 26% | 6 Apr → | ||
| 2–13 | 0.01 | 33% | 5 Apr → | ||
| 3–13 | -0.09 | 36% | 5 Apr → | ||
| 13–4 | 0.00 | 8% | 4 Apr → | ||
| 13–3 | -0.02 | 12% | 4 Apr → | ||
| 8–13 | -0.00 | 27% | 29 Mar → | ||
| 13–10 | 0.01 | 30% | 22 Mar → | ||
| 7–13 | 0.05 | 40% | 22 Mar → | ||
| 2–13 | -0.08 | 8% | 22 Mar → | ||
| 13–7 | 0.06 | 23% | 21 Mar → | ||
| 14–16 | 0.01 | 19% | 20 Mar → | ||
| 13–6 | 0.05 | 15% | 20 Mar → | ||
| 13–9 | 0.10 | 20% | 20 Mar → | ||
| 8–13 | 0.06 | 41% | 18 Mar → | ||
| 8–13 | -0.06 | 21% | 18 Mar → | ||
| 6–13 | -0.07 | 17% | 18 Mar → | ||
| 11–13 | 0.06 | 20% | 8 Mar → | ||
| 13–7 | 0.03 | 9% | 3 Mar → | ||
| 16–19 | 0.03 | 16% | 3 Mar → | ||
| 4–13 | -0.01 | 16% | 3 Mar → | ||
| 13–5 | -0.02 | 22% | 2 Mar → | ||
| 7–11 | -0.05 | 25% | 2 Mar → | ||
| 10–13 | 0.01 | 18% | 2 Mar → | ||
| 2–2 | -0.01 | 17% | 2 Mar → | ||
| 8–13 | 0.00 | 38% | 1 Mar → | ||
| 10–13 | 0.01 | 7% | 1 Mar → | ||
| 13–4 | 0.04 | 15% | 27 Feb → | ||
| 9–13 | -0.06 | 12% | 19 Feb → | ||
| 13–8 | 0.17 | 27% | 17 Feb → | ||
| 13–3 | 0.03 | 35% | 8 Feb → | ||
| 13–7 | 0.06 | 19% | 8 Feb → | ||
| 13–6 | 0.10 | 42% | 8 Feb → | ||
| 8–13 | -0.01 | 27% | 8 Feb → | ||
| 11–13 | 0.01 | 32% | 8 Feb → | ||
| 11–13 | 0.02 | 32% | 7 Feb → | ||
| 13–10 | 0.04 | 16% | 7 Feb → | ||
| 19–15 | -0.00 | 11% | 7 Feb → | ||
| 13–8 | 0.00 | 18% | 6 Feb → | ||
| 13–3 | 0.08 | 20% | 6 Feb → | ||
| 13–11 | 0.09 | 26% | 2 Feb → | ||
| 9–13 | -0.01 | 34% | 2 Feb → | ||
| 5–13 | 0.04 | 30% | 2 Feb → | ||
| 13–11 | -0.02 | 22% | 1 Feb → | ||
| 9–13 | -0.00 | 26% | 1 Feb → | ||
| 13–10 | 0.01 | 14% | 31 Jan → | ||
| 13–11 | 0.00 | 23% | 31 Jan → | ||
| 5–13 | -0.03 | 29% | 30 Jan → | ||
| 16–14 | 0.08 | 16% | 30 Jan → | ||
| 13–7 | 0.02 | 21% | 30 Jan → | ||
| 13–6 | 0.01 | 19% | 29 Jan → | ||
| 13–2 | 0.13 | 43% | 28 Jan → | ||
| 13–11 | 0.07 | 28% | 28 Jan → | ||
| 4–13 | 0.06 | 23% | 28 Jan → | ||
| 13–3 | 0.07 | 20% | 27 Jan → | ||
| 13–10 | -0.03 | 18% | 27 Jan → | ||
| 13–5 | -0.01 | 24% | 24 Jan → | ||
| 13–9 | 0.06 | 19% | 19 Jan → | ||
| 10–13 | -0.02 | 21% | 16 Jan → | ||
| 13–7 | -0.02 | 28% | 15 Jan → | ||
| 13–5 | 0.01 | 18% | 14 Jan → | ||
| 1–13 | -0.11 | 18% | 12 Jan → | ||
| 10–8 | -0.02 | 19% | 12 Jan → | ||
| 13–9 | 0.04 | 9% | 11 Jan → | ||
| 5–13 | 0.02 | 29% | 11 Jan → | ||
| 19–17 | 0.00 | 22% | 11 Jan → | ||
| 13–4 | 0.09 | 22% | 10 Jan → | ||
| 16–14 | 0.07 | 36% | 10 Jan → | ||
| 13–9 | 0.00 | 16% | 10 Jan → | ||
| 13–3 | 0.02 | 16% | 10 Jan → | ||
| 7–13 | -0.02 | 18% | 10 Jan → |
Match data via Leetify.