L1T5EN — CS2 Stats
76561198006175258[U:1:45909530]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.03 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 88% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 666ms 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 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 18–9 | 67% | 0.00 | |
| C | 21 | 8–13 | 38% | 0.00 | |
| A | 20 | 11–9 | 55% | -0.00 | |
| S | 13 | 9–4 | 69% | 0.01 | |
| D | 12 | 3–9 | 25% | -0.02 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| warden | — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient 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 |
|---|---|---|---|---|
| Dust2 | 132 | 47% | 0.93 | 15.9 |
| Mirage | 102 | 56% | 0.97 | 15.2 |
| Inferno | 88 | 58% | 1.03 | 17.9 |
| Nuke | 61 | 54% | 0.96 | 15.2 |
| Ancient | 36 | 36% | 0.83 | 14.2 |
| Overpass | 19 | 47% | 0.93 | 16.1 |
| Anubis | 8 | 50% | 0.86 | 14.6 |
| Train | 2 | 0% | 0.93 | 14.0 |
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 26.0582% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.03 | 26% | 6 May → | ||
| 13–10 | 0.03 | 21% | 6 May → | ||
| 3–13 | 0.03 | 23% | 26 Apr → | ||
| 15–15 | -0.06 | 14% | 12 Apr → | ||
| 13–8 | 0.05 | 31% | 12 Apr → | ||
| 7–13 | 0.00 | 19% | 11 Apr → | ||
| 13–3 | 0.02 | 16% | 11 Apr → | ||
| 3–13 | 0.01 | 17% | 6 Apr → | ||
| 13–11 | -0.04 | 25% | 6 Apr → | ||
| 8–13 | -0.00 | 16% | 6 Apr → | ||
| 6–13 | -0.05 | 24% | 6 Apr → | ||
| 13–3 | 0.07 | 29% | 5 Apr → | ||
| 13–11 | -0.01 | 14% | 5 Apr → | ||
| 13–11 | 0.00 | 14% | 4 Apr → | ||
| 7–13 | -0.01 | 21% | 4 Apr → | ||
| 9–13 | -0.03 | 32% | 3 Apr → | ||
| 13–11 | -0.05 | 24% | 3 Apr → | ||
| 13–11 | -0.03 | 13% | 2 Apr → | ||
| 13–11 | -0.06 | 24% | 1 Apr → | ||
| 10–13 | -0.04 | 28% | 1 Apr → | ||
| 12–16 | -0.01 | 14% | 1 Apr → | ||
| 12–16 | -0.05 | 20% | 31 Mar → | ||
| 9–13 | -0.00 | 11% | 30 Mar → | ||
| 9–13 | 0.01 | 31% | 30 Mar → | ||
| 13–9 | -0.01 | 18% | 30 Mar → | ||
| 8–13 | -0.02 | 29% | 30 Mar → | ||
| 8–13 | -0.06 | 24% | 28 Mar → | ||
| 14–16 | 0.04 | 19% | 25 Mar → | ||
| 9–13 | 0.00 | 23% | 25 Mar → | ||
| 12–16 | -0.01 | 25% | 25 Mar → | ||
| 13–9 | 0.04 | 23% | 24 Mar → | ||
| 5–13 | -0.09 | 16% | 24 Mar → | ||
| 16–13 | 0.04 | 16% | 24 Mar → | ||
| 13–3 | 0.03 | 20% | 24 Mar → | ||
| warden | 8–2 | 0.09 | 35% | 23 Mar → | |
| 6–13 | -0.04 | 15% | 23 Mar → | ||
| 11–13 | 0.04 | 19% | 23 Mar → | ||
| 13–1 | 0.11 | 23% | 23 Mar → | ||
| 13–5 | -0.08 | 18% | 23 Mar → | ||
| 13–8 | -0.02 | 19% | 23 Mar → | ||
| 8–13 | -0.07 | 47% | 23 Mar → | ||
| 7–13 | -0.05 | 16% | 23 Mar → | ||
| 10–13 | -0.04 | 14% | 22 Mar → | ||
| 7–13 | -0.04 | 29% | 21 Mar → | ||
| 13–8 | 0.06 | 32% | 19 Mar → | ||
| 13–10 | 0.00 | 14% | 19 Mar → | ||
| 13–8 | 0.07 | 28% | 19 Mar → | ||
| 19–17 | -0.04 | 19% | 18 Mar → | ||
| 13–7 | 0.14 | 23% | 18 Mar → | ||
| 16–13 | 0.03 | 18% | 18 Mar → | ||
| 5–13 | -0.06 | 22% | 18 Mar → | ||
| 13–4 | 0.09 | 22% | 16 Mar → | ||
| 13–6 | -0.01 | 18% | 16 Mar → | ||
| 13–5 | 0.06 | 15% | 16 Mar → | ||
| 13–11 | -0.00 | 18% | 16 Mar → | ||
| 13–4 | 0.11 | 25% | 16 Mar → | ||
| 10–13 | 0.03 | 26% | 16 Mar → | ||
| 8–13 | -0.04 | 27% | 16 Mar → | ||
| 13–6 | -0.02 | 19% | 14 Mar → | ||
| 13–3 | 0.01 | 14% | 12 Mar → | ||
| 13–8 | -0.01 | 14% | 2 Mar → | ||
| 8–13 | -0.04 | 27% | 27 Feb → | ||
| 10–13 | -0.04 | 19% | 27 Feb → | ||
| 9–13 | 0.00 | 19% | 27 Feb → | ||
| 13–8 | -0.00 | 24% | 26 Feb → | ||
| 13–10 | -0.03 | 24% | 26 Feb → | ||
| 8–13 | -0.03 | 33% | 25 Feb → | ||
| 13–10 | 0.04 | 18% | 25 Feb → | ||
| 13–8 | -0.03 | 9% | 23 Feb → | ||
| 13–4 | 0.09 | 28% | 23 Feb → | ||
| 13–6 | 0.07 | 23% | 23 Feb → | ||
| 5–13 | -0.05 | 11% | 23 Feb → | ||
| 13–16 | -0.07 | 8% | 21 Feb → | ||
| 13–10 | 0.03 | 33% | 20 Feb → | ||
| 13–6 | -0.06 | 26% | 20 Feb → | ||
| 9–13 | -0.04 | 26% | 19 Feb → | ||
| 13–5 | 0.08 | 15% | 19 Feb → | ||
| 13–8 | 0.03 | 21% | 19 Feb → | ||
| 11–13 | -0.02 | 22% | 19 Feb → | ||
| 15–15 | 0.02 | 16% | 11 Feb → | ||
| 13–8 | 0.03 | 14% | 11 Feb → | ||
| 7–13 | -0.02 | 12% | 11 Feb → | ||
| 10–13 | -0.03 | 14% | 11 Feb → | ||
| 16–14 | 0.03 | 22% | 11 Feb → | ||
| 15–15 | -0.05 | 20% | 10 Feb → | ||
| 8–13 | -0.04 | 17% | 10 Feb → | ||
| 13–8 | 0.10 | 23% | 10 Feb → | ||
| 13–10 | 0.01 | 22% | 10 Feb → | ||
| 5–13 | 0.02 | 28% | 10 Feb → | ||
| 7–13 | 0.06 | 28% | 10 Feb → | ||
| 13–7 | -0.01 | 22% | 10 Feb → | ||
| 10–13 | -0.03 | 14% | 8 Feb → | ||
| 13–9 | 0.00 | 13% | 8 Feb → | ||
| 13–10 | -0.01 | 17% | 8 Feb → | ||
| 2–13 | -0.07 | 21% | 8 Feb → | ||
| 13–11 | 0.08 | 14% | 8 Feb → | ||
| 13–6 | -0.01 | 18% | 7 Feb → | ||
| 9–13 | 0.00 | 10% | 7 Feb → | ||
| 7–13 | -0.07 | 19% | 6 Feb → | ||
| 20–22 | -0.02 | 22% | 5 Feb → |
Match data via Leetify.