FlanEXE — CS2 Stats
US76561198354977754[U:1:394712026]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=673), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 39.0% | 41.2% | 42.2% | 3.1% short |
| Shot accuracy | 17.3% | 12.5% | 11.9% | above |
| Kill/death ratio | 1.10 | 0.96 | 0.98 | above |
| Match win rate | 41.7% | 42.8% | 43.6% | 1.9% short |
This profile matches the typical Level 3 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 3 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: +10pp win rate · -0.02 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 b1t 81% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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
CT openings. Opening success drops from 50% on T to 34% on CT — first contacts on the defending side are being lost.
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 4.3/10 (Developing), 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 |
|---|---|---|---|---|---|
 mirage | B | 41 | 20–21 | 49% | -0.00 |
 dust2 | D | 25 | 8–17 | 32% | 0.01 |
 inferno | C | 10 | 4–6 | 40% | 0.03 |
 overpass | B | 8 | 4–4 | 50% | -0.02 |
 ancient | D | 6 | 2–4 | 33% | 0.01 |
 nuke | — | 4 | 1–3 | 25% | -0.03 |
 cache | — | 2 | 0–2 | 0% | -0.02 |
 anubis | — | 2 | 1–1 | 50% | -0.02 |
 vertigo | — | 1 | 0–1 | 0% | -0.08 |
 train | — | 1 | 1–0 | 100% | 0.29 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Dust 2 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 resultsWWLLL
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 12.3793° — 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 12.7426% — below the 15% mark we flag
- 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 710.7326ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
32% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 10–13 | 0.06 | 6% | 13 Aug → | |
| cache | 8–13 | -0.03 | 5% | 4 Jul → | |
| anubis | 4–13 | -0.05 | 3% | 4 Jul → | |
| mirage | 12–8 | -0.07 | 20% | 13 Jun → | |
| ancient | 5–13 | -0.12 | 40% | 13 Jun → | |
| ancient | 13–6 | 0.07 | 16% | 13 Jun → | |
| mirage | 4–13 | -0.08 | 6% | 6 Jun → | |
| ancient | 7–13 | -0.02 | 18% | 6 Jun → | |
| dust2 | 6–13 | 0.03 | 0% | 31 May → | |
| dust2 | 8–13 | -0.07 | 10% | 31 May → | |
| mirage | 13–10 | -0.02 | 11% | 31 May → | |
| mirage | 10–13 | -0.09 | 33% | 20 May → | |
| dust2 | 9–13 | 0.01 | 8% | 17 May → | |
| mirage | 14–16 | 0.04 | 16% | 14 May → | |
| overpass | 8–13 | 0.03 | 20% | 14 May → | |
| cache | 4–13 | -0.01 | 0% | 29 Apr → | |
| inferno | 15–15 | 0.03 | 10% | 27 Apr → | |
| nuke | 6–13 | -0.05 | 16% | 26 Apr → | |
| vertigo | 10–13 | -0.08 | 4% | 26 Apr → | |
| mirage | 11–13 | 0.01 | 11% | 26 Apr → | |
| overpass | 13–16 | -0.02 | 7% | 26 Apr → | |
| dust2 | 13–3 | 0.02 | 22% | 26 Apr → | |
| ancient | 14–16 | 0.03 | 12% | 26 Apr → | |
| nuke | 7–13 | 0.08 | 11% | 26 Apr → | |
| mirage | 13–6 | 0.08 | 11% | 26 Apr → | |
| mirage | 13–9 | -0.02 | 19% | 26 Apr → | |
| dust2 | 4–13 | 0.01 | 15% | 25 Apr → | |
| ancient | 13–16 | 0.07 | 13% | 25 Apr → | |
| dust2 | 13–11 | 0.04 | 7% | 25 Apr → | |
| mirage | 13–2 | -0.02 | 17% | 25 Apr → | |
| overpass | 16–12 | 0.02 | 13% | 25 Apr → | |
| dust2 | 13–3 | 0.10 | 18% | 22 Apr → | |
| dust2 | 15–15 | -0.01 | 11% | 22 Apr → | |
| mirage | 13–8 | 0.03 | 26% | 21 Apr → | |
| overpass | 13–3 | 0.01 | 14% | 21 Apr → | |
| mirage | 13–11 | -0.02 | 13% | 20 Apr → | |
| mirage | 10–13 | -0.02 | 7% | 20 Apr → | |
| anubis | 13–6 | 0.01 | 15% | 20 Apr → | |
| mirage | 13–11 | -0.02 | 10% | 19 Apr → | |
| mirage | 9–13 | -0.02 | 13% | 19 Apr → | |
| mirage | 10–13 | -0.03 | 5% | 19 Apr → | |
| dust2 | 13–11 | 0.07 | 15% | 19 Apr → | |
| inferno | 13–16 | 0.04 | 10% | 18 Apr → | |
| dust2 | 1–13 | -0.08 | 20% | 18 Apr → | |
| mirage | 8–13 | -0.02 | 7% | 18 Apr → | |
| overpass | 0–4 | -0.17 | 0% | 18 Apr → | |
| mirage | 13–2 | 0.05 | 28% | 18 Apr → | |
| dust2 | 11–13 | -0.00 | 8% | 16 Apr → | |
| overpass | 13–10 | -0.05 | 29% | 16 Apr → | |
| mirage | 13–4 | 0.05 | 26% | 16 Apr → | |
| mirage | 8–13 | -0.10 | 9% | 16 Apr → | |
| dust2 | 13–9 | 0.04 | 23% | 16 Apr → | |
| overpass | 5–13 | -0.01 | 5% | 15 Apr → | |
| dust2 | 10–13 | 0.06 | 12% | 15 Apr → | |
| mirage | 13–8 | 0.05 | 24% | 14 Apr → | |
| overpass | 13–6 | 0.01 | 5% | 14 Apr → | |
| nuke | 4–13 | -0.04 | 12% | 14 Apr → | |
| dust2 | 5–13 | -0.05 | 16% | 14 Apr → | |
| mirage | 13–6 | 0.03 | 19% | 14 Apr → | |
| mirage | 11–13 | 0.02 | 15% | 14 Apr → | |
| inferno | 5–13 | -0.02 | 12% | 9 Apr → | |
| dust2 | 13–16 | 0.01 | 14% | 9 Apr → | |
| mirage | 9–13 | 0.06 | 7% | 6 Apr → | |
| dust2 | 13–3 | 0.09 | 7% | 6 Apr → | |
| inferno | 13–6 | 0.08 | 21% | 5 Apr → | |
| mirage | 13–6 | -0.03 | 19% | 5 Apr → | |
| mirage | 8–13 | -0.02 | 5% | 5 Apr → | |
| dust2 | 10–13 | -0.00 | 14% | 26 Mar → | |
| dust2 | 9–13 | -0.03 | 12% | 26 Mar → | |
| dust2 | 8–13 | -0.02 | 25% | 22 Mar → | |
| mirage | 8–13 | -0.10 | 5% | 21 Mar → | |
| inferno | 13–10 | 0.02 | 16% | 21 Mar → | |
| mirage | 4–13 | 0.01 | 22% | 23 Jan → | |
| mirage | 13–10 | 0.04 | 15% | 23 Jan → | |
| mirage | 13–4 | 0.04 | 9% | 13 Jan → | |
| dust2 | 13–11 | -0.00 | 24% | 10 Jan → | |
| mirage | 9–13 | -0.03 | 4% | 10 Jan → | |
| inferno | 13–8 | 0.07 | 12% | 5 Dec → | |
| ancient | 13–6 | 0.01 | 5% | 5 Dec → | |
| dust2 | 5–13 | -0.00 | 9% | 5 Dec → | |
| train | 4–1 | 0.29 | 13% | 5 Dec → | |
| inferno | 11–13 | 0.03 | 9% | 5 Dec → | |
| mirage | 7–13 | 0.05 | 13% | 30 Nov → | |
| nuke | 13–8 | -0.10 | 21% | 16 Nov → | |
| dust2 | 13–9 | 0.02 | 13% | 19 Oct → | |
| inferno | 6–13 | 0.00 | 6% | 8 Aug → | |
| mirage | 8–0 | 0.00 | 19% | 29 Jun → | |
| inferno | 13–2 | 0.02 | 13% | 29 Jun → | |
| mirage | 9–13 | -0.03 | 15% | 25 Oct → | |
| mirage | 4–13 | -0.07 | 8% | 25 Oct → | |
| inferno | 11–13 | 0.03 | 10% | 30 Jun → | |
| dust2 | 5–13 | -0.02 | 13% | 30 Jun → | |
| dust2 | 10–13 | 0.04 | 15% | 17 May → | |
| mirage | 13–11 | -0.02 | 10% | 16 May → | |
| mirage | 6–13 | -0.04 | 15% | 16 May → | |
| mirage | 13–6 | -0.08 | 0% | 13 May → | |
| dust2 | 1–13 | -0.07 | 13% | 2 May → | |
| mirage | 3–13 | 0.02 | 9% | 9 Apr → | |
| mirage | 7–0 | 0.06 | 5% | 8 Apr → | |
| mirage | 13–9 | 0.14 | 22% | 11 Mar → |
Match data via Leetify.
