--_Logan_-- — CS2 Stats
76561198280387009[U:1:320121281]✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 | Level 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 49.1% | 44.2% | 44.9% | above |
| Shot accuracy | 11.6% | 11.2% | 11.8% | meets |
| Kill/death ratio | 0.98 | 1.04 | 1.04 | 0.06 short |
| Match win rate | 45.2% | 45.3% | 45.3% | meets |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 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: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 46% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 711ms 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 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 26 | 11–15 | 42% | 0.01 | |
| A | 18 | 10–8 | 56% | 0.03 | |
| B | 17 | 8–9 | 47% | -0.01 | |
| C | 15 | 6–9 | 40% | -0.03 | |
| D | 7 | 2–5 | 29% | -0.02 | |
| D | 6 | 0–6 | 0% | -0.00 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| poseidon | — | 2 | 1–1 | 50% | 0.00 |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 6). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 35 | 54% | 1.26 | 19.0 |
| Mirage | 29 | 31% | 0.85 | 14.8 |
| Anubis | 20 | 45% | 1.06 | 16.7 |
| Ancient | 16 | 56% | 1.22 | 18.3 |
| Vertigo | 11 | 73% | 1.20 | 16.6 |
| Nuke | 11 | 64% | 0.87 | 16.3 |
| Inferno | 10 | 50% | 0.96 | 16.0 |
| Cache | 8 | 38% | 0.70 | 13.4 |
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 710.5135ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.4979 — below the 4 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 24.1445% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.02 | 22% | 13 Aug → | ||
| 10–13 | 0.02 | 26% | 5 Aug → | ||
| 16–19 | 0.05 | 31% | 3 Aug → | ||
| 12–16 | -0.02 | 22% | 30 Jul → | ||
| 13–16 | -0.02 | 14% | 29 Jul → | ||
| 13–9 | 0.03 | 16% | 28 Jul → | ||
| 13–16 | -0.05 | 17% | 27 Jul → | ||
| 3–13 | -0.04 | 23% | 22 Jul → | ||
| 11–13 | -0.02 | 27% | 22 Jul → | ||
| 8–8 | -0.18 | 10% | 22 Jul → | ||
| poseidon | 8–8 | 0.08 | 19% | 22 Jul → | |
| 7–9 | -0.14 | 11% | 10 Jul → | ||
| poseidon | 9–5 | -0.07 | 45% | 10 Jul → | |
| 9–4 | -0.01 | 25% | 10 Jul → | ||
| 5–9 | -0.15 | 15% | 10 Jul → | ||
| 13–11 | -0.05 | 12% | 10 Jul → | ||
| 13–16 | 0.00 | 28% | 25 May → | ||
| 11–13 | 0.02 | 36% | 25 May → | ||
| 10–13 | 0.03 | 18% | 25 May → | ||
| 15–15 | 0.01 | 21% | 24 May → | ||
| 11–13 | -0.02 | 17% | 4 May → | ||
| 16–12 | -0.00 | 12% | 4 May → | ||
| 13–9 | 0.03 | 37% | 4 May → | ||
| 11–3 | 0.05 | 12% | 4 May → | ||
| 7–13 | 0.01 | 15% | 4 May → | ||
| 13–7 | 0.07 | 27% | 13 Apr → | ||
| 10–13 | 0.05 | 16% | 13 Apr → | ||
| 8–13 | -0.02 | 28% | 5 Apr → | ||
| 10–13 | -0.03 | 19% | 5 Apr → | ||
| 10–13 | 0.03 | 21% | 9 Mar → | ||
| 15–15 | -0.06 | 11% | 9 Mar → | ||
| 5–13 | -0.04 | 26% | 7 Mar → | ||
| 13–10 | -0.00 | 27% | 7 Mar → | ||
| 10–13 | 0.12 | 22% | 7 Mar → | ||
| 11–13 | -0.03 | 10% | 7 Mar → | ||
| 1–11 | -0.04 | 10% | 7 Mar → | ||
| 8–13 | -0.00 | 6% | 7 Mar → | ||
| 13–16 | -0.02 | 30% | 7 Mar → | ||
| 13–4 | 0.04 | 31% | 7 Mar → | ||
| 7–13 | 0.02 | 23% | 7 Mar → | ||
| 13–3 | -0.01 | 22% | 7 Mar → | ||
| 1–13 | -0.04 | 28% | 7 Mar → | ||
| 13–10 | 0.03 | 31% | 6 Mar → | ||
| 8–13 | 0.00 | 19% | 6 Mar → | ||
| 2–13 | -0.04 | 61% | 6 Mar → | ||
| 6–13 | -0.12 | 6% | 6 Mar → | ||
| 10–13 | 0.05 | 21% | 6 Mar → | ||
| 11–13 | -0.01 | 25% | 6 Mar → | ||
| 13–11 | -0.03 | 22% | 6 Mar → | ||
| 13–7 | -0.08 | 30% | 2 Mar → | ||
| 3–13 | -0.04 | 21% | 2 Mar → | ||
| 13–11 | -0.00 | 17% | 2 Mar → | ||
| 8–13 | -0.01 | 16% | 2 Mar → | ||
| 13–9 | 0.02 | 26% | 2 Mar → | ||
| 3–0 | -0.01 | 0% | 2 Mar → | ||
| 16–13 | 0.05 | 19% | 3 Feb → | ||
| 14–16 | -0.02 | 10% | 3 Feb → | ||
| 10–13 | 0.00 | 16% | 3 Feb → | ||
| 8–13 | 0.07 | 21% | 2 Feb → | ||
| 13–10 | -0.01 | 24% | 2 Feb → | ||
| 13–8 | 0.05 | 30% | 2 Feb → | ||
| 13–11 | -0.02 | 27% | 2 Feb → | ||
| 11–13 | -0.02 | 14% | 2 Feb → | ||
| 13–7 | -0.06 | 21% | 19 Jan → | ||
| 13–5 | 0.10 | 23% | 19 Jan → | ||
| 13–8 | 0.09 | 14% | 19 Jan → | ||
| 7–13 | -0.00 | 22% | 19 Jan → | ||
| 13–9 | -0.02 | 12% | 11 Jan → | ||
| 5–13 | -0.02 | 18% | 11 Jan → | ||
| 6–13 | 0.01 | 22% | 11 Jan → | ||
| 13–10 | -0.04 | 16% | 10 Jan → | ||
| 13–10 | 0.02 | 23% | 10 Jan → | ||
| 13–11 | 0.06 | 34% | 10 Jan → | ||
| 13–5 | 0.15 | 20% | 10 Jan → | ||
| 13–5 | 0.02 | 16% | 10 Jan → | ||
| 9–13 | -0.07 | 26% | 10 Jan → | ||
| 10–13 | -0.00 | 18% | 10 Jan → | ||
| 8–13 | 0.01 | 13% | 10 Jan → | ||
| 13–5 | -0.07 | 28% | 10 Jan → | ||
| 9–13 | -0.00 | 31% | 10 Jan → | ||
| 13–11 | -0.03 | 27% | 10 Jan → | ||
| 13–10 | -0.00 | 23% | 10 Jan → | ||
| 15–15 | 0.06 | 35% | 10 Jan → | ||
| 13–9 | 0.07 | 21% | 10 Jan → | ||
| 13–10 | 0.02 | 23% | 10 Jan → | ||
| 10–13 | 0.00 | 24% | 10 Jan → | ||
| 6–13 | -0.04 | 19% | 10 Jan → | ||
| 13–11 | -0.02 | 22% | 9 Jan → | ||
| 14–16 | 0.09 | 18% | 9 Jan → | ||
| 13–8 | 0.03 | 33% | 9 Jan → | ||
| 13–8 | -0.01 | 28% | 9 Jan → | ||
| 3–13 | -0.01 | 41% | 9 Jan → | ||
| 7–13 | -0.05 | 13% | 9 Jan → | ||
| 10–13 | 0.06 | 17% | 8 Jan → | ||
| 8–13 | 0.14 | 22% | 8 Jan → | ||
| 13–5 | -0.08 | 30% | 8 Jan → | ||
| 13–4 | 0.01 | 17% | 8 Jan → | ||
| 3–13 | -0.01 | 23% | 8 Jan → | ||
| 13–11 | -0.04 | 30% | 8 Jan → | ||
| 10–13 | -0.02 | 29% | 7 Jan → |
Match data via Leetify.