! m0xxie — CS2 Stats
76561199444181604[U:1:1483915876]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 42.8% | 41.4% | 44.2% | 1.4% short |
| Shot accuracy | 0.5% | 9.0% | 11.6% | 11.1% short |
| Kill/death ratio | 0.84 | 0.97 | 1.03 | 0.19 short |
| Match win rate | 49.9% | 43.7% | 45.2% | above |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 75% 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.
Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | C | 30 | 13–17 | 43% | -0.02 |
 anubis | A | 13 | 8–5 | 62% | -0.02 |
 cache | S | 10 | 8–2 | 80% | -0.02 |
 train | B | 8 | 4–4 | 50% | -0.00 |
 vertigo | A | 8 | 5–3 | 63% | -0.03 |
 dust2 | S | 7 | 6–1 | 86% | -0.00 |
 inferno | C | 7 | 3–4 | 43% | -0.01 |
 ancient | D | 6 | 2–4 | 33% | -0.03 |
 nuke | B | 6 | 3–3 | 50% | -0.01 |
 overpass | — | 3 | 3–0 | 100% | 0.06 |
| office | — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% 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.
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 13.8345% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.1278 — below the 0.5 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 27.0734% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–11 | 0.00 | 9% | 26 Aug → | |
| cache | 13–4 | 0.00 | 17% | 26 Aug → | |
| mirage | 2–13 | -0.05 | 40% | 24 Aug → | |
| mirage | 12–12 | -0.06 | 22% | 23 Aug → | |
| mirage | 2–13 | -0.07 | 9% | 23 Aug → | |
| cache | 8–13 | -0.04 | 18% | 19 Aug → | |
| ancient | 13–9 | -0.03 | 7% | 19 Aug → | |
| mirage | 13–10 | 0.01 | 12% | 18 Aug → | |
| nuke | 13–4 | -0.04 | 13% | 18 Aug → | |
| mirage | 8–13 | 0.03 | 11% | 16 Aug → | |
| train | 7–13 | -0.03 | 11% | 12 Aug → | |
| train | 12–12 | 0.03 | 8% | 12 Aug → | |
| mirage | 7–13 | -0.06 | 0% | 12 Aug → | |
| mirage | 5–13 | -0.09 | 17% | 11 Aug → | |
| anubis | 13–10 | 0.00 | 10% | 31 Jul → | |
| mirage | 9–13 | -0.04 | 9% | 30 Jul → | |
| dust2 | 13–2 | 0.02 | 12% | 30 Jul → | |
| nuke | 1–8 | 0.05 | 17% | 30 Jul → | |
| vertigo | 13–6 | -0.06 | 8% | 29 Jul → | |
| vertigo | 9–2 | -0.01 | 8% | 29 Jul → | |
| inferno | 13–4 | 0.05 | 17% | 29 Jul → | |
| anubis | 11–13 | -0.05 | 17% | 26 Jul → | |
| anubis | 9–13 | -0.02 | 9% | 26 Jul → | |
| ancient | 10–13 | -0.06 | 14% | 24 Jul → | |
| cache | 13–9 | -0.04 | 13% | 15 Jul → | |
| nuke | 13–9 | -0.02 | 10% | 15 Jul → | |
| anubis | 13–4 | -0.07 | 6% | 9 Jul → | |
| office | 11–13 | -0.00 | 39% | 8 Jul → | |
| ancient | 8–13 | 0.01 | 9% | 24 Jun → | |
| train | 13–10 | -0.02 | 24% | 19 Jun → | |
| mirage | 13–11 | -0.09 | 19% | 19 Jun → | |
| train | 3–13 | -0.06 | 10% | 19 Jun → | |
| ancient | 13–4 | 0.04 | 44% | 14 Jun → | |
| mirage | 13–10 | -0.06 | 20% | 12 Jun → | |
| nuke | 7–13 | -0.00 | 10% | 12 Jun → | |
| mirage | 7–13 | -0.05 | 15% | 6 Jun → | |
| mirage | 13–10 | -0.03 | 24% | 4 Jun → | |
| vertigo | 8–13 | -0.02 | 10% | 4 Jun → | |
| vertigo | 4–0 | -0.08 | 17% | 4 Jun → | |
| vertigo | 13–4 | 0.09 | 9% | 4 Jun → | |
| inferno | 6–9 | -0.14 | 12% | 29 May → | |
| anubis | 13–4 | 0.02 | 11% | 29 May → | |
| anubis | 13–7 | 0.02 | 15% | 28 May → | |
| dust2 | 13–9 | -0.03 | 20% | 22 May → | |
| cache | 8–13 | -0.04 | 15% | 22 May → | |
| cache | 13–8 | -0.01 | 17% | 22 May → | |
| cache | 13–4 | 0.03 | 10% | 15 May → | |
| cache | 13–10 | -0.01 | 14% | 8 May → | |
| cache | 12–3 | -0.00 | 18% | 8 May → | |
| cache | 13–7 | -0.05 | 6% | 8 May → | |
| mirage | 0–9 | -0.11 | 0% | 30 Apr → | |
| mirage | 12–12 | -0.02 | 14% | 30 Apr → | |
| train | 13–3 | -0.00 | 9% | 24 Apr → | |
| inferno | 7–9 | 0.01 | 13% | 24 Apr → | |
| train | 12–12 | -0.03 | 10% | 24 Apr → | |
| inferno | 9–5 | 0.07 | 14% | 24 Apr → | |
| mirage | 13–8 | 0.03 | 17% | 17 Apr → | |
| mirage | 13–8 | -0.03 | 14% | 17 Apr → | |
| mirage | 3–13 | -0.02 | 13% | 9 Apr → | |
| vertigo | 6–13 | -0.00 | 17% | 8 Apr → | |
| vertigo | 13–3 | -0.03 | 6% | 8 Apr → | |
| vertigo | 4–13 | -0.10 | 21% | 8 Apr → | |
| overpass | 16–13 | 0.05 | 19% | 5 Apr → | |
| mirage | 13–10 | -0.03 | 22% | 3 Apr → | |
| anubis | 9–13 | -0.03 | 19% | 2 Apr → | |
| anubis | 13–6 | -0.06 | 25% | 2 Apr → | |
| dust2 | 13–3 | -0.03 | 7% | 1 Apr → | |
| anubis | 5–13 | -0.05 | 25% | 1 Apr → | |
| anubis | 13–10 | 0.00 | 11% | 1 Apr → | |
| anubis | 13–2 | -0.01 | 29% | 29 Mar → | |
| mirage | 13–5 | -0.01 | 28% | 28 Mar → | |
| dust2 | 13–11 | -0.03 | 12% | 27 Mar → | |
| mirage | 12–12 | -0.07 | 14% | 27 Mar → | |
| mirage | 13–8 | 0.04 | 10% | 22 Mar → | |
| nuke | 16–14 | 0.02 | 12% | 21 Mar → | |
| ancient | 9–13 | -0.05 | 7% | 21 Mar → | |
| office | 13–1 | 0.03 | 10% | 20 Mar → | |
| mirage | 12–12 | -0.02 | 10% | 14 Mar → | |
| nuke | 5–13 | -0.05 | 22% | 14 Mar → | |
| inferno | 9–2 | 0.06 | 2% | 13 Mar → | |
| mirage | 13–7 | 0.09 | 19% | 13 Mar → | |
| overpass | 13–5 | 0.10 | 11% | 11 Mar → | |
| overpass | 13–4 | 0.01 | 23% | 11 Mar → | |
| mirage | 13–1 | 0.14 | 15% | 11 Mar → | |
| mirage | 13–11 | -0.00 | 15% | 8 Mar → | |
| mirage | 13–5 | 0.01 | 24% | 6 Mar → | |
| mirage | 6–13 | -0.03 | 22% | 6 Mar → | |
| dust2 | 5–13 | -0.05 | 7% | 28 Feb → | |
| train | 13–4 | 0.03 | 11% | 27 Feb → | |
| train | 5–0 | 0.07 | 60% | 27 Feb → | |
| mirage | 12–12 | -0.04 | 17% | 22 Feb → | |
| anubis | 12–12 | -0.05 | 10% | 21 Feb → | |
| dust2 | 13–3 | 0.08 | 7% | 21 Feb → | |
| inferno | 8–13 | -0.08 | 20% | 21 Feb → | |
| anubis | 13–5 | -0.01 | 7% | 21 Feb → | |
| mirage | 0–13 | -0.07 | 4% | 21 Feb → | |
| dust2 | 13–2 | 0.03 | 7% | 21 Feb → | |
| inferno | 7–13 | -0.07 | 10% | 20 Feb → | |
| mirage | 5–13 | -0.05 | 18% | 20 Feb → | |
| ancient | 3–13 | -0.08 | 0% | 20 Feb → |
Match data via Leetify.
