43 — CS2 Stats
76561198177005745[U:1:216740017]
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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: Support — Utility contribution leads the profile while opening activity stays low.
Strong 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 NiKo 82% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower aim profile; lower opening-fight frequency.
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
T-side openings. Opening success drops from 47% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms 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 5.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 31 | 16–15 | 52% | -0.00 | |
| S | 31 | 20–11 | 65% | 0.01 | |
| B | 17 | 9–8 | 53% | -0.01 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
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 14.2516% — 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 0% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.02 | 19% | 28 Sept → | ||
| 13–8 | 0.01 | 15% | 28 Sept → | ||
| 13–1 | 0.12 | 25% | 28 Sept → | ||
| 6–13 | 0.12 | 13% | 18 Sept → | ||
| 14–16 | 0.01 | 9% | 13 Sept → | ||
| 13–9 | 0.01 | 7% | 13 Sept → | ||
| 16–3 | 0.10 | 23% | 23 Aug → | ||
| 18–22 | -0.03 | 7% | 23 Aug → | ||
| 16–11 | 0.04 | 21% | 23 Aug → | ||
| 11–16 | -0.08 | 14% | 23 Aug → | ||
| 16–6 | -0.02 | 14% | 23 Aug → | ||
| 20–22 | 0.00 | 11% | 22 Aug → | ||
| 16–12 | -0.01 | 20% | 22 Aug → | ||
| 14–16 | -0.01 | 18% | 16 Aug → | ||
| 9–16 | -0.01 | 15% | 16 Aug → | ||
| 16–3 | 0.15 | 16% | 13 Aug → | ||
| 9–16 | -0.04 | 6% | 13 Aug → | ||
| 14–16 | -0.04 | 16% | 9 Aug → | ||
| 16–14 | 0.01 | 8% | 9 Aug → | ||
| 16–12 | 0.04 | 14% | 6 Aug → | ||
| 14–16 | 0.01 | 19% | 6 Aug → | ||
| 8–8 | 0.05 | 19% | 4 Aug → | ||
| 5–16 | -0.03 | 39% | 26 Jul → | ||
| 16–12 | -0.01 | 13% | 26 Jul → | ||
| 16–5 | -0.01 | 6% | 26 Jul → | ||
| 15–19 | 0.00 | 17% | 31 May → | ||
| 16–7 | 0.02 | 20% | 31 May → | ||
| 5–16 | -0.07 | 13% | 31 May → | ||
| 5–16 | -0.10 | 0% | 29 May → | ||
| 16–12 | -0.01 | 7% | 29 May → | ||
| 13–16 | -0.03 | 12% | 29 May → | ||
| 16–12 | -0.01 | 9% | 24 May → | ||
| 16–14 | -0.01 | 19% | 24 May → | ||
| 14–16 | -0.05 | 12% | 24 May → | ||
| 7–16 | -0.04 | 14% | 24 May → | ||
| 16–3 | 0.05 | 10% | 22 May → | ||
| 16–7 | 0.05 | 11% | 11 May → | ||
| 17–19 | -0.03 | 9% | 10 May → | ||
| 16–3 | 0.07 | 5% | 10 May → | ||
| 16–4 | 0.19 | 19% | 10 May → | ||
| 16–12 | -0.01 | 11% | 10 May → | ||
| 16–4 | 0.06 | 6% | 7 May → | ||
| 16–14 | -0.00 | 29% | 7 May → | ||
| 8–16 | -0.07 | 15% | 7 May → | ||
| 16–11 | -0.01 | 12% | 7 May → | ||
| 22–20 | -0.03 | 16% | 5 May → | ||
| 6–16 | -0.02 | 17% | 5 May → | ||
| 14–16 | -0.01 | 13% | 5 May → | ||
| 16–10 | 0.00 | 6% | 2 May → | ||
| 16–13 | 0.05 | 9% | 2 May → | ||
| 16–11 | 0.06 | 13% | 28 Apr → | ||
| 16–12 | 0.00 | 18% | 28 Apr → | ||
| 16–11 | 0.03 | 13% | 28 Apr → | ||
| 16–10 | 0.00 | 4% | 24 Apr → | ||
| 25–22 | 0.03 | 11% | 23 Apr → | ||
| 16–10 | -0.03 | 21% | 23 Apr → | ||
| 16–8 | 0.05 | 17% | 23 Apr → | ||
| 17–19 | -0.05 | 7% | 23 Apr → | ||
| 19–17 | 0.05 | 20% | 22 Apr → | ||
| 13–16 | -0.01 | 8% | 11 Apr → | ||
| 16–14 | -0.04 | 8% | 11 Apr → | ||
| 14–16 | -0.04 | 15% | 11 Apr → | ||
| 5–16 | -0.08 | 4% | 9 Apr → | ||
| 13–16 | 0.00 | 13% | 9 Apr → | ||
| 12–16 | 0.00 | 15% | 9 Apr → | ||
| 16–10 | -0.01 | 18% | 9 Apr → | ||
| 16–11 | -0.01 | 11% | 9 Apr → | ||
| 12–16 | -0.03 | 17% | 6 Apr → | ||
| 6–16 | -0.05 | 7% | 6 Apr → | ||
| 16–9 | -0.05 | 10% | 5 Apr → | ||
| 16–9 | -0.02 | 13% | 5 Apr → | ||
| 13–16 | 0.00 | 13% | 5 Apr → | ||
| 20–22 | -0.02 | 6% | 4 Apr → | ||
| 19–17 | -0.01 | 10% | 4 Apr → | ||
| 16–9 | -0.00 | 8% | 4 Apr → | ||
| 16–14 | 0.03 | 16% | 29 Mar → | ||
| 16–8 | 0.01 | 17% | 29 Mar → | ||
| 14–16 | 0.00 | 16% | 28 Mar → | ||
| 16–13 | 0.02 | 6% | 28 Mar → | ||
| 16–10 | -0.05 | 20% | 28 Mar → | ||
| 9–16 | -0.10 | 32% | 28 Mar → | ||
| 16–12 | 0.04 | 12% | 22 Mar → | ||
| 14–16 | -0.02 | 12% | 22 Mar → | ||
| 16–9 | 0.02 | 16% | 21 Mar → | ||
| 20–22 | 0.04 | 20% | 21 Mar → | ||
| 10–16 | -0.04 | 11% | 19 Mar → | ||
| 16–12 | 0.05 | 20% | 18 Mar → | ||
| 16–13 | 0.01 | 16% | 18 Mar → | ||
| 16–12 | -0.04 | 19% | 18 Mar → | ||
| 10–16 | 0.00 | 20% | 18 Mar → | ||
| 15–4 | -0.02 | 12% | 18 Mar → | ||
| 4–16 | -0.02 | 6% | 18 Mar → | ||
| 9–7 | 0.00 | 18% | 13 Mar → | ||
| 16–6 | -0.02 | 10% | 11 Mar → | ||
| 16–14 | -0.02 | 19% | 11 Mar → | ||
| 11–16 | -0.04 | 12% | 11 Mar → | ||
| 20–22 | -0.02 | 20% | 6 Mar → | ||
| 13–16 | 0.06 | 14% | 1 Feb → | ||
| 11–16 | -0.02 | 23% | 15 Jan → | ||
| 16–9 | 0.07 | 20% | 15 Jan → |
Match data via Leetify.
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