kernsp3cht51 ⛟ — CS2 Stats
76561198004873661[U:1:44607933]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 device 92% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Flashes. 0.78 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 575ms 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 6.4/10 (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 | 30 | 15–15 | 50% | 0.01 | |
| C | 23 | 9–14 | 39% | 0.00 | |
| A | 22 | 14–8 | 64% | 0.02 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| S | 7 | 5–2 | 71% | 0.00 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 905 | 54% | 1.16 | 17.4 |
| Ancient | 520 | 50% | 0.95 | 15.1 |
| Dust2 | 437 | 48% | 1.02 | 16.0 |
| Anubis | 420 | 48% | 1.03 | 16.3 |
| Nuke | 266 | 43% | 1.06 | 16.6 |
| Train | 43 | 47% | 1.08 | 16.5 |
| Overpass | 35 | 43% | 1.01 | 14.6 |
| Vertigo | 33 | 39% | 0.94 | 16.2 |
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.
39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.05 | 23% | 27 Aug → | ||
| 13–7 | 0.06 | 41% | 23 Aug → | ||
| 9–13 | -0.04 | 24% | 23 Aug → | ||
| 13–5 | 0.02 | 21% | 22 Aug → | ||
| 3–13 | -0.04 | 13% | 22 Aug → | ||
| 4–13 | 0.03 | 13% | 21 Aug → | ||
| 5–13 | -0.11 | 12% | 21 Aug → | ||
| 9–13 | -0.04 | 14% | 21 Aug → | ||
| 11–13 | 0.05 | 15% | 21 Aug → | ||
| 13–5 | 0.10 | 11% | 20 Aug → | ||
| 6–13 | 0.02 | 21% | 20 Aug → | ||
| 4–13 | -0.06 | 16% | 19 Aug → | ||
| 13–3 | -0.01 | 38% | 19 Aug → | ||
| 13–9 | 0.03 | 27% | 19 Aug → | ||
| 16–13 | 0.06 | 27% | 18 Aug → | ||
| 13–9 | -0.00 | 12% | 14 Aug → | ||
| 13–9 | 0.03 | 31% | 13 Jul → | ||
| 13–0 | 0.00 | 8% | 9 Jul → | ||
| 13–6 | 0.00 | 10% | 9 Jul → | ||
| 13–4 | 0.15 | 26% | 9 Jul → | ||
| 13–11 | -0.03 | 27% | 24 Jun → | ||
| 13–11 | -0.06 | 18% | 26 May → | ||
| 4–13 | -0.06 | 3% | 20 May → | ||
| 13–8 | -0.01 | 13% | 19 May → | ||
| 13–9 | 0.04 | 19% | 18 May → | ||
| 7–13 | 0.02 | 24% | 7 May → | ||
| 5–13 | -0.05 | 23% | 7 May → | ||
| 10–13 | 0.03 | 33% | 6 May → | ||
| 13–8 | 0.09 | 26% | 6 May → | ||
| 9–13 | -0.07 | 17% | 6 May → | ||
| 13–6 | 0.09 | 30% | 6 May → | ||
| 8–13 | -0.03 | 16% | 6 May → | ||
| 12–12 | -0.01 | 13% | 5 May → | ||
| 4–13 | -0.06 | 13% | 5 May → | ||
| 8–13 | -0.08 | 15% | 5 May → | ||
| 9–13 | 0.03 | 23% | 4 May → | ||
| 7–13 | -0.01 | 32% | 2 May → | ||
| 13–11 | 0.05 | 30% | 30 Apr → | ||
| 12–12 | 0.01 | 16% | 30 Apr → | ||
| 3–13 | 0.01 | 22% | 30 Apr → | ||
| 13–7 | 0.00 | 37% | 30 Apr → | ||
| 13–10 | 0.02 | 31% | 30 Apr → | ||
| 13–3 | 0.02 | 50% | 30 Apr → | ||
| 12–12 | 0.03 | 15% | 30 Apr → | ||
| 6–0 | 0.02 | 67% | 30 Apr → | ||
| 13–2 | 0.09 | 38% | 30 Apr → | ||
| 10–13 | 0.09 | 22% | 29 Apr → | ||
| 13–4 | -0.01 | 27% | 29 Apr → | ||
| 13–2 | 0.09 | 28% | 29 Apr → | ||
| 13–10 | -0.02 | 19% | 29 Apr → | ||
| 10–13 | 0.01 | 20% | 29 Apr → | ||
| 13–9 | -0.04 | 28% | 29 Apr → | ||
| 7–13 | 0.03 | 15% | 29 Apr → | ||
| 5–13 | 0.03 | 22% | 29 Apr → | ||
| 4–13 | -0.04 | 18% | 21 Apr → | ||
| 13–16 | -0.02 | 50% | 6 Apr → | ||
| 13–11 | 0.01 | 26% | 5 Apr → | ||
| 13–9 | 0.01 | 13% | 5 Apr → | ||
| 5–13 | -0.06 | 22% | 29 Mar → | ||
| 13–9 | 0.08 | 5% | 27 Mar → | ||
| 10–13 | -0.03 | 14% | 27 Mar → | ||
| 7–13 | -0.08 | 25% | 23 Mar → | ||
| 11–13 | -0.04 | 15% | 22 Mar → | ||
| 13–9 | 0.06 | 26% | 18 Mar → | ||
| 9–13 | 0.03 | 30% | 6 Mar → | ||
| 13–10 | 0.11 | 36% | 2 Mar → | ||
| 10–13 | 0.02 | 28% | 1 Mar → | ||
| 2–13 | -0.07 | 20% | 27 Feb → | ||
| 12–16 | 0.01 | 21% | 27 Feb → | ||
| 13–4 | -0.02 | 31% | 27 Feb → | ||
| 13–9 | -0.00 | 33% | 23 Feb → | ||
| 9–6 | -0.02 | 29% | 23 Feb → | ||
| 13–3 | 0.08 | 21% | 21 Feb → | ||
| 12–16 | 0.02 | 31% | 13 Feb → | ||
| 13–3 | 0.07 | 20% | 13 Feb → | ||
| 15–15 | 0.00 | 27% | 13 Feb → | ||
| 13–11 | -0.02 | 16% | 6 Feb → | ||
| 9–13 | -0.04 | 31% | 30 Jan → | ||
| 13–8 | 0.09 | 30% | 30 Jan → | ||
| 13–7 | 0.04 | 18% | 25 Jan → | ||
| 13–9 | 0.05 | 25% | 22 Jan → | ||
| 13–10 | -0.00 | 10% | 17 Jan → | ||
| 3–13 | 0.02 | 35% | 14 Jan → | ||
| 13–10 | 0.03 | 16% | 11 Jan → | ||
| 2–13 | -0.02 | 29% | 10 Jan → | ||
| 10–13 | 0.03 | 28% | 10 Jan → | ||
| 13–2 | 0.10 | 30% | 10 Jan → | ||
| 13–5 | 0.10 | 40% | 9 Jan → | ||
| 13–9 | 0.00 | 16% | 9 Jan → | ||
| 13–8 | -0.02 | 20% | 9 Jan → | ||
| 14–16 | 0.00 | 16% | 9 Jan → | ||
| 2–13 | -0.01 | 16% | 7 Jan → | ||
| 8–13 | -0.07 | 28% | 3 Jan → | ||
| 22–20 | 0.01 | 24% | 2 Jan → | ||
| 4–13 | -0.06 | 24% | 1 Jan → | ||
| 11–13 | 0.03 | 27% | 31 Dec → | ||
| 7–3 | 0.03 | 18% | 31 Dec → | ||
| 13–5 | 0.02 | 41% | 30 Dec → | ||
| 11–13 | 0.01 | 31% | 28 Dec → | ||
| 13–10 | 0.04 | 36% | 28 Dec → |
Match data via Leetify.