Logan — CS2 Stats
76561198095317898[U:1:135052170]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 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 Twistzz 84% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 607ms 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 4.5/10 (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 |
|---|---|---|---|---|---|
| B | 26 | 14–12 | 54% | -0.03 | |
| B | 24 | 11–13 | 46% | -0.03 | |
| S | 13 | 9–4 | 69% | -0.02 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| C | 8 | 3–5 | 38% | 0.02 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 8). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 54 | 57% | 0.89 | 12.5 |
| Inferno | 46 | 46% | 0.71 | 12.1 |
| Mirage | 46 | 61% | 0.80 | 12.3 |
| Dust2 | 29 | 41% | 0.81 | 13.1 |
| Anubis | 26 | 35% | 0.83 | 13.2 |
| Nuke | 23 | 35% | 0.77 | 12.5 |
| Overpass | 15 | 40% | 1.12 | 14.1 |
| Train | 15 | 60% | 0.88 | 12.6 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.8825° — above the 12° mark we flag
- 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 11.3173% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.02 | 8% | 27 May → | ||
| 8–13 | 0.00 | 12% | 21 May → | ||
| 13–8 | -0.01 | 7% | 19 May → | ||
| 5–13 | -0.07 | 7% | 12 May → | ||
| 13–9 | -0.01 | 10% | 10 May → | ||
| 13–8 | -0.07 | 13% | 10 May → | ||
| 3–13 | -0.03 | 5% | 9 May → | ||
| 13–16 | -0.04 | 12% | 9 May → | ||
| 13–11 | -0.05 | 12% | 7 May → | ||
| 25–23 | 0.01 | 6% | 5 May → | ||
| 13–5 | 0.03 | 8% | 5 May → | ||
| 13–7 | 0.00 | 15% | 3 May → | ||
| 6–13 | -0.05 | 8% | 3 May → | ||
| 10–13 | -0.06 | 13% | 3 May → | ||
| 8–13 | 0.00 | 17% | 2 May → | ||
| 10–13 | 0.06 | 16% | 1 May → | ||
| 15–15 | -0.03 | 18% | 1 May → | ||
| 9–13 | -0.08 | 15% | 30 Apr → | ||
| 13–9 | -0.03 | 8% | 29 Apr → | ||
| 13–11 | -0.03 | 19% | 28 Apr → | ||
| 4–13 | -0.02 | 10% | 28 Apr → | ||
| 13–9 | -0.03 | 7% | 27 Apr → | ||
| 13–11 | 0.02 | 15% | 26 Apr → | ||
| 5–13 | -0.08 | 7% | 26 Apr → | ||
| 8–13 | -0.06 | 3% | 26 Apr → | ||
| 7–13 | -0.02 | 19% | 26 Apr → | ||
| 13–10 | -0.09 | 10% | 25 Apr → | ||
| 2–11 | -0.08 | 9% | 25 Apr → | ||
| 13–10 | -0.05 | 19% | 24 Apr → | ||
| 2–13 | -0.06 | 9% | 23 Apr → | ||
| 9–13 | -0.03 | 12% | 23 Apr → | ||
| 13–9 | -0.03 | 15% | 21 Apr → | ||
| 13–7 | -0.04 | 5% | 21 Apr → | ||
| 13–11 | -0.01 | 21% | 21 Apr → | ||
| 10–13 | -0.03 | 7% | 20 Apr → | ||
| 13–4 | 0.01 | 16% | 19 Apr → | ||
| 13–10 | -0.02 | 6% | 19 Apr → | ||
| 11–13 | -0.04 | 22% | 19 Apr → | ||
| 16–14 | -0.01 | 20% | 19 Apr → | ||
| 13–8 | 0.01 | 11% | 19 Apr → | ||
| 13–10 | -0.06 | 9% | 19 Apr → | ||
| 8–13 | 0.01 | 9% | 18 Apr → | ||
| 6–13 | -0.04 | 14% | 18 Apr → | ||
| 10–13 | -0.07 | 29% | 16 Apr → | ||
| 13–7 | -0.01 | 11% | 14 Apr → | ||
| 13–8 | 0.00 | 15% | 12 Apr → | ||
| 11–13 | 0.04 | 13% | 11 Apr → | ||
| 2–13 | -0.04 | 9% | 11 Apr → | ||
| 13–8 | 0.00 | 17% | 10 Apr → | ||
| 13–3 | -0.02 | 15% | 9 Apr → | ||
| 25–22 | -0.02 | 12% | 7 Apr → | ||
| 10–13 | -0.01 | 8% | 7 Apr → | ||
| 13–3 | -0.04 | 24% | 7 Apr → | ||
| 13–16 | -0.01 | 8% | 6 Apr → | ||
| 13–10 | -0.02 | 12% | 6 Apr → | ||
| 1–13 | -0.11 | 9% | 6 Apr → | ||
| 13–11 | -0.06 | 12% | 5 Apr → | ||
| 13–4 | 0.01 | 16% | 5 Apr → | ||
| 16–14 | -0.01 | 18% | 4 Apr → | ||
| 11–13 | 0.02 | 18% | 2 Apr → | ||
| 13–6 | 0.08 | 17% | 28 Mar → | ||
| 8–13 | -0.07 | 18% | 28 Mar → | ||
| 5–13 | 0.01 | 7% | 28 Mar → | ||
| 13–10 | 0.00 | 12% | 25 Mar → | ||
| 13–8 | -0.03 | 13% | 24 Mar → | ||
| 9–13 | -0.06 | 9% | 22 Mar → | ||
| 13–2 | 0.01 | 28% | 22 Mar → | ||
| 13–10 | 0.03 | 17% | 21 Mar → | ||
| 13–6 | -0.00 | 28% | 21 Mar → | ||
| 11–13 | -0.03 | 15% | 21 Mar → | ||
| 14–16 | -0.03 | 11% | 18 Mar → | ||
| 10–13 | -0.04 | 5% | 18 Mar → | ||
| 13–6 | -0.06 | 15% | 17 Mar → | ||
| 13–16 | -0.00 | 21% | 17 Mar → | ||
| 6–13 | 0.02 | 15% | 17 Mar → | ||
| 13–10 | -0.05 | 13% | 17 Mar → | ||
| 5–13 | -0.00 | 18% | 15 Mar → | ||
| 16–12 | 0.01 | 10% | 15 Mar → | ||
| 9–13 | 0.05 | 30% | 15 Mar → | ||
| 9–13 | -0.01 | 0% | 14 Mar → | ||
| 8–13 | -0.08 | 9% | 14 Mar → | ||
| 13–11 | 0.09 | 15% | 14 Mar → | ||
| 13–5 | -0.01 | 21% | 13 Mar → | ||
| 13–4 | 0.04 | 16% | 13 Mar → | ||
| 7–13 | -0.06 | 4% | 13 Mar → | ||
| 13–9 | -0.04 | 17% | 11 Mar → | ||
| 4–13 | -0.06 | 9% | 11 Mar → | ||
| 13–10 | -0.04 | 13% | 11 Mar → | ||
| 8–13 | -0.07 | 8% | 9 Mar → | ||
| 13–6 | 0.07 | 17% | 9 Mar → | ||
| 13–7 | 0.01 | 18% | 9 Mar → | ||
| 13–5 | 0.10 | 21% | 4 Mar → | ||
| 11–13 | -0.01 | 11% | 3 Mar → | ||
| 13–6 | 0.08 | 17% | 3 Mar → | ||
| 12–12 | 0.04 | 10% | 3 Mar → | ||
| 7–13 | 0.01 | 12% | 1 Mar → | ||
| 13–11 | -0.06 | 8% | 1 Mar → | ||
| 11–5 | 0.03 | 5% | 28 Feb → | ||
| 10–2 | -0.04 | 33% | 28 Feb → | ||
| 4–13 | 0.04 | 29% | 28 Feb → |
Match data via Leetify.