LT4 — CS2 Stats
76561198240163952[U:1:279898224]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 51.7% | 47.2% | 49.9% | above |
| Shot accuracy | 16.3% | 12.7% | 13.4% | above |
| Kill/death ratio | 0.82 | 1.09 | 1.12 | 0.30 short |
| Match win rate | 51.1% | 46.6% | 48.4% | above |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 90% 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
Areas to improve
Reaction time. 578ms 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 6.3/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 20 | 9–11 | 45% | 0.00 | |
| S | 17 | 11–6 | 65% | 0.00 | |
| A | 17 | 10–7 | 59% | -0.00 | |
| A | 13 | 8–5 | 62% | 0.01 | |
| D | 11 | 2–9 | 18% | 0.01 | |
| C | 11 | 4–7 | 36% | -0.02 | |
| S | 6 | 5–1 | 83% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.05 | |
| office | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
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 11.1402% — 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 34.5086% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.00 | 10% | 29 Aug → | ||
| 16–13 | 0.01 | 9% | 29 Aug → | ||
| 13–7 | 0.00 | 20% | 27 Aug → | ||
| 13–9 | -0.03 | 6% | 27 Aug → | ||
| 13–10 | -0.06 | 13% | 27 Aug → | ||
| 3–13 | -0.03 | 8% | 26 Aug → | ||
| 13–8 | -0.03 | 9% | 26 Aug → | ||
| 5–13 | -0.05 | 35% | 26 Aug → | ||
| 13–7 | -0.01 | 8% | 26 Aug → | ||
| 13–7 | -0.00 | 7% | 25 Aug → | ||
| 15–15 | -0.05 | 8% | 25 Aug → | ||
| 13–7 | -0.01 | 13% | 25 Aug → | ||
| 13–11 | -0.00 | 8% | 25 Aug → | ||
| 13–8 | 0.03 | 13% | 24 Aug → | ||
| 13–9 | 0.07 | 5% | 24 Aug → | ||
| 13–11 | -0.02 | 11% | 24 Aug → | ||
| 8–13 | 0.02 | 22% | 23 Aug → | ||
| 13–11 | -0.01 | 8% | 23 Aug → | ||
| 8–13 | -0.04 | 11% | 23 Aug → | ||
| 13–8 | 0.07 | 11% | 23 Aug → | ||
| 16–14 | -0.01 | 9% | 21 Aug → | ||
| 7–13 | 0.03 | 7% | 21 Aug → | ||
| 13–9 | -0.02 | 12% | 20 Aug → | ||
| 7–13 | -0.08 | 12% | 20 Aug → | ||
| 13–6 | -0.04 | 11% | 20 Aug → | ||
| 8–13 | -0.03 | 3% | 20 Aug → | ||
| 13–4 | 0.04 | 13% | 19 Aug → | ||
| 13–4 | -0.04 | 10% | 19 Aug → | ||
| 13–4 | 0.02 | 15% | 19 Aug → | ||
| 5–13 | -0.03 | 18% | 18 Aug → | ||
| 13–11 | 0.11 | 19% | 18 Aug → | ||
| 2–5 | -0.09 | 0% | 13 Aug → | ||
| 13–10 | -0.01 | 13% | 12 Jul → | ||
| 13–11 | 0.05 | 18% | 12 Jul → | ||
| 6–13 | -0.00 | 16% | 12 Jul → | ||
| 9–13 | -0.03 | 12% | 24 Jun → | ||
| 9–13 | 0.03 | 14% | 23 Jun → | ||
| 6–13 | -0.04 | 19% | 23 Jun → | ||
| 13–8 | -0.03 | 3% | 9 Jun → | ||
| 13–5 | -0.01 | 8% | 9 Jun → | ||
| 11–13 | -0.06 | 7% | 8 Jun → | ||
| 8–13 | -0.02 | 9% | 7 Jun → | ||
| 11–13 | 0.01 | 12% | 1 Jun → | ||
| 11–13 | -0.00 | 10% | 1 Jun → | ||
| 5–13 | -0.06 | 12% | 1 Jun → | ||
| 8–13 | 0.01 | 17% | 1 Jun → | ||
| 13–6 | 0.02 | 28% | 10 May → | ||
| 10–13 | -0.03 | 17% | 10 May → | ||
| 13–4 | 0.12 | 18% | 10 May → | ||
| office | 13–3 | 0.05 | 11% | 10 May → | |
| 15–15 | -0.01 | 14% | 9 May → | ||
| 13–10 | 0.00 | 24% | 9 May → | ||
| 3–13 | -0.11 | 11% | 9 May → | ||
| 11–13 | 0.05 | 14% | 24 Apr → | ||
| 10–13 | 0.00 | 16% | 24 Apr → | ||
| 10–13 | 0.01 | 14% | 24 Apr → | ||
| 15–15 | -0.02 | 10% | 21 Apr → | ||
| 13–2 | 0.06 | 21% | 21 Apr → | ||
| 13–8 | 0.06 | 8% | 20 Apr → | ||
| 9–13 | -0.03 | 17% | 25 Mar → | ||
| 13–4 | 0.04 | 7% | 24 Mar → | ||
| 13–11 | 0.03 | 10% | 23 Mar → | ||
| 10–13 | 0.09 | 9% | 23 Mar → | ||
| 11–13 | -0.02 | 17% | 16 Mar → | ||
| 13–16 | -0.06 | 11% | 15 Mar → | ||
| 4–13 | 0.01 | 12% | 15 Mar → | ||
| 13–9 | 0.03 | 11% | 15 Mar → | ||
| 12–12 | -0.02 | 22% | 14 Mar → | ||
| 13–2 | 0.04 | 12% | 14 Mar → | ||
| 10–13 | 0.03 | 13% | 14 Mar → | ||
| 15–15 | 0.01 | 9% | 14 Mar → | ||
| 13–8 | 0.05 | 15% | 12 Mar → | ||
| 9–13 | -0.05 | 19% | 12 Mar → | ||
| 13–6 | -0.00 | 26% | 4 Mar → | ||
| 11–13 | -0.07 | 11% | 3 Mar → | ||
| 8–13 | 0.03 | 17% | 25 Feb → | ||
| 13–11 | -0.02 | 8% | 25 Feb → | ||
| 13–4 | -0.00 | 4% | 25 Feb → | ||
| 13–5 | 0.16 | 19% | 25 Feb → | ||
| 13–9 | 0.04 | 13% | 24 Feb → | ||
| 8–13 | -0.02 | 14% | 24 Feb → | ||
| 16–14 | -0.06 | 22% | 23 Feb → | ||
| 11–13 | -0.05 | 12% | 23 Feb → | ||
| 8–13 | -0.03 | 25% | 23 Feb → | ||
| 7–13 | -0.05 | 22% | 20 Feb → | ||
| 13–8 | 0.03 | 6% | 19 Feb → | ||
| 13–10 | 0.02 | 14% | 19 Feb → | ||
| 10–0 | 0.10 | 6% | 19 Feb → | ||
| 6–13 | 0.05 | 5% | 18 Feb → | ||
| 13–5 | 0.01 | 15% | 17 Feb → | ||
| 13–10 | 0.02 | 12% | 17 Feb → | ||
| 16–14 | 0.04 | 13% | 16 Feb → | ||
| 13–8 | 0.03 | 18% | 16 Feb → | ||
| 9–13 | 0.00 | 18% | 16 Feb → | ||
| 13–10 | 0.04 | 12% | 16 Feb → | ||
| 13–8 | 0.01 | 9% | 14 Feb → | ||
| 9–13 | -0.01 | 8% | 14 Feb → | ||
| 10–13 | -0.04 | 8% | 14 Feb → | ||
| 13–5 | -0.03 | 8% | 14 Feb → | ||
| 8–13 | -0.01 | 28% | 13 Feb → |
Match data via Leetify.
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