Starr — CS2 Stats
76561198027175234[U:1:66909506]
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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
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 NiKo 76% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 668ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.5/10 (Learning), 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 | 22 | 13–9 | 59% | 0.01 | |
| B | 19 | 10–9 | 53% | 0.00 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.00 | |
| S | 9 | 7–2 | 78% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | -0.06 | |
| — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 20% | 0.85 | 14.8 |
| Anubis | 5 | 80% | 1.25 | 12.6 |
| Overpass | 4 | 75% | 1.64 | 9.5 |
| Inferno | 2 | 50% | 1.22 | 20.0 |
| Vertigo | 2 | 50% | 0.81 | 15.5 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.8853% — below the 15% mark we flag
- 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 26.8105% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.07 | 12% | 25 Aug → | ||
| 13–8 | -0.06 | 4% | 12 Jul → | ||
| 9–13 | 0.03 | 12% | 9 Apr → | ||
| 13–10 | -0.05 | 17% | 22 Feb → | ||
| 15–15 | -0.04 | 10% | 22 Feb → | ||
| 13–2 | 0.06 | 11% | 22 Feb → | ||
| 13–7 | 0.07 | 5% | 22 Feb → | ||
| 5–13 | -0.05 | 0% | 22 Feb → | ||
| 13–4 | 0.01 | 10% | 22 Feb → | ||
| 7–13 | -0.03 | 14% | 22 Feb → | ||
| 13–3 | -0.02 | 12% | 22 Feb → | ||
| 11–13 | 0.02 | 19% | 20 Feb → | ||
| 13–3 | -0.01 | 18% | 19 Feb → | ||
| 7–13 | 0.07 | 13% | 19 Feb → | ||
| 13–3 | 0.08 | 11% | 19 Feb → | ||
| 13–2 | -0.04 | 6% | 19 Feb → | ||
| 9–13 | -0.03 | 11% | 18 Feb → | ||
| 8–13 | -0.06 | 16% | 17 Feb → | ||
| 13–7 | 0.04 | 8% | 17 Feb → | ||
| 13–9 | 0.02 | 11% | 16 Feb → | ||
| 5–13 | -0.07 | 15% | 16 Feb → | ||
| 13–7 | 0.04 | 11% | 16 Feb → | ||
| 13–9 | 0.09 | 18% | 16 Feb → | ||
| 9–13 | -0.10 | 17% | 13 Feb → | ||
| 16–14 | -0.01 | 12% | 13 Feb → | ||
| 3–13 | 0.02 | 13% | 13 Feb → | ||
| 9–13 | 0.01 | 20% | 13 Feb → | ||
| 4–13 | -0.07 | 9% | 13 Feb → | ||
| 13–5 | -0.02 | 8% | 12 Feb → | ||
| 6–13 | -0.06 | 11% | 12 Feb → | ||
| 2–6 | 0.00 | 10% | 12 Feb → | ||
| 13–11 | -0.03 | 8% | 12 Feb → | ||
| 13–7 | -0.01 | 16% | 10 Feb → | ||
| 8–13 | -0.05 | 7% | 10 Feb → | ||
| 13–8 | 0.02 | 9% | 10 Feb → | ||
| 13–6 | 0.02 | 12% | 9 Feb → | ||
| 3–13 | -0.06 | 10% | 8 Feb → | ||
| 13–10 | 0.04 | 16% | 8 Feb → | ||
| 13–10 | -0.01 | 14% | 8 Feb → | ||
| 15–15 | 0.01 | 8% | 8 Feb → | ||
| 8–13 | 0.05 | 13% | 8 Feb → | ||
| 13–2 | 0.08 | 12% | 8 Feb → | ||
| 7–13 | -0.06 | 8% | 8 Feb → | ||
| 13–9 | -0.02 | 4% | 8 Feb → | ||
| 13–7 | 0.01 | 17% | 7 Feb → | ||
| 4–13 | -0.02 | 14% | 7 Feb → | ||
| 13–6 | 0.01 | 25% | 7 Feb → | ||
| 8–13 | -0.03 | 17% | 7 Feb → | ||
| 15–15 | 0.03 | 17% | 7 Feb → | ||
| 5–13 | -0.10 | 10% | 6 Feb → | ||
| 16–12 | 0.03 | 12% | 6 Feb → | ||
| 10–13 | -0.07 | 4% | 6 Feb → | ||
| 13–6 | -0.00 | 8% | 6 Feb → | ||
| 13–16 | -0.06 | 7% | 5 Feb → | ||
| 13–7 | 0.04 | 11% | 5 Feb → | ||
| 13–1 | 0.03 | 8% | 4 Feb → | ||
| 7–13 | -0.00 | 18% | 4 Feb → | ||
| 13–5 | 0.02 | 10% | 4 Feb → | ||
| 13–4 | 0.06 | 18% | 4 Feb → | ||
| 7–13 | -0.00 | 8% | 4 Feb → | ||
| 7–13 | -0.01 | 26% | 4 Feb → | ||
| 13–9 | -0.00 | 21% | 4 Feb → | ||
| 13–2 | 0.00 | 15% | 4 Feb → | ||
| 13–11 | -0.02 | 12% | 4 Feb → | ||
| 13–3 | 0.01 | 11% | 4 Feb → | ||
| 11–13 | 0.08 | 20% | 4 Feb → | ||
| 8–13 | 0.04 | 15% | 3 Feb → | ||
| 13–10 | 0.01 | 15% | 3 Feb → | ||
| 11–13 | 0.01 | 19% | 3 Feb → | ||
| 13–8 | 0.00 | 5% | 3 Feb → | ||
| 5–13 | -0.10 | 11% | 3 Feb → | ||
| 16–13 | 0.05 | 12% | 3 Feb → | ||
| 9–13 | 0.04 | 14% | 3 Feb → | ||
| 5–13 | -0.02 | 7% | 2 Feb → | ||
| 13–5 | 0.12 | 17% | 1 Feb → | ||
| 13–7 | 0.00 | 11% | 1 Feb → | ||
| 13–8 | 0.11 | 9% | 1 Feb → | ||
| 13–8 | -0.03 | 6% | 1 Feb → | ||
| 13–7 | 0.02 | 13% | 1 Feb → | ||
| 13–2 | 0.16 | 19% | 1 Feb → | ||
| 8–13 | 0.01 | 20% | 1 Feb → | ||
| 13–16 | -0.01 | 15% | 1 Feb → | ||
| 16–13 | 0.00 | 10% | 31 Jan → | ||
| 13–8 | -0.01 | 16% | 31 Jan → | ||
| 16–13 | 0.03 | 5% | 31 Jan → | ||
| 13–9 | 0.01 | 11% | 31 Jan → | ||
| 13–2 | 0.06 | 34% | 31 Jan → | ||
| 13–6 | -0.00 | 9% | 31 Jan → | ||
| 16–12 | -0.01 | 13% | 31 Jan → | ||
| 13–5 | 0.07 | 13% | 31 Jan → | ||
| 2–12 | -0.03 | 10% | 31 Jan → | ||
| 7–13 | -0.05 | 17% | 31 Jan → | ||
| 11–13 | -0.01 | 10% | 31 Jan → | ||
| 13–8 | 0.07 | 12% | 30 Jan → | ||
| 13–11 | 0.05 | 15% | 30 Jan → | ||
| 13–5 | -0.01 | 19% | 30 Jan → | ||
| 13–4 | 0.04 | 18% | 30 Jan → | ||
| 13–9 | 0.06 | 16% | 29 Jan → | ||
| 13–11 | 0.03 | 8% | 28 Jan → | ||
| 8–13 | 0.10 | 12% | 28 Jan → |
Match data via Leetify.