Mx — CS2 Stats
SE76561197988527819[U:1:28262091]Steam profile ↗
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 | 43.5% | 47.2% | 49.9% | 6.4% short |
| Shot accuracy | 21.4% | 12.7% | 13.4% | above |
| Kill/death ratio | 1.63 | 1.09 | 1.12 | above |
| Match win rate | 53.8% | 46.6% | 48.4% | above |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. 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: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 93% playstyle similarity
Most alike: positioning profile, 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. 584ms 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 6.8/10 (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 |
|---|---|---|---|---|---|
 mirage | C | 16 | 7–9 | 44% | 0.04 |
 dust2 | B | 15 | 7–8 | 47% | 0.03 |
 nuke | B | 14 | 7–7 | 50% | 0.01 |
 cache | S | 14 | 10–4 | 71% | 0.04 |
 anubis | B | 8 | 4–4 | 50% | -0.01 |
 inferno | C | 8 | 3–5 | 38% | 0.01 |
 train | A | 7 | 4–3 | 57% | 0.03 |
 ancient | S | 6 | 4–2 | 67% | -0.01 |
 overpass | — | 4 | 2–2 | 50% | 0.02 |
| office | — | 2 | 1–1 | 50% | 0.09 |
| warden | — | 2 | 1–1 | 50% | 0.07 |
 vertigo | — | 2 | 0–2 | 0% | 0.03 |
| alpine | — | 1 | 1–0 | 100% | 0.04 |
| italy | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 12 | 58% | 1.45 | 17.6 |
| Mirage | 11 | 27% | 1.10 | 17.1 |
| Nuke | 8 | 50% | 1.31 | 14.1 |
| Vertigo | 7 | 71% | 1.37 | 17.6 |
| Overpass | 5 | 40% | 1.38 | 20.2 |
| Inferno | 5 | 40% | 1.27 | 19.8 |
| Anubis | 4 | 75% | 1.31 | 17.8 |
| Dust2 | 1 | 0% | 1.23 | 16.0 |
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 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 12.7019% — 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 33.7667% — 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.
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 | |
|---|---|---|---|---|---|
| nuke | 13–7 | -0.00 | 12% | 19 Aug → | |
| cache | 13–8 | 0.05 | 13% | 18 Aug → | |
| nuke | 13–11 | 0.01 | 14% | 18 Aug → | |
| dust2 | 8–13 | -0.03 | 22% | 17 Aug → | |
| nuke | 8–13 | -0.06 | 8% | 17 Aug → | |
| nuke | 13–1 | 0.07 | 9% | 16 Aug → | |
| dust2 | 7–13 | 0.00 | 11% | 16 Aug → | |
| cache | 13–5 | -0.01 | 16% | 16 Aug → | |
| ancient | 13–11 | 0.03 | 14% | 14 Aug → | |
| mirage | 13–11 | -0.01 | 12% | 14 Aug → | |
| nuke | 16–14 | 0.04 | 12% | 8 Aug → | |
| cache | 13–11 | 0.06 | 9% | 8 Aug → | |
| dust2 | 13–7 | -0.02 | 7% | 8 Aug → | |
| anubis | 13–3 | 0.03 | 13% | 8 Aug → | |
| dust2 | 16–13 | -0.01 | 15% | 2 Aug → | |
| cache | 13–6 | 0.10 | 11% | 2 Aug → | |
| mirage | 16–14 | 0.06 | 12% | 1 Aug → | |
| nuke | 4–13 | -0.04 | 10% | 29 Jul → | |
| inferno | 13–7 | 0.08 | 13% | 29 Jul → | |
| dust2 | 13–11 | 0.05 | 14% | 29 Jul → | |
| train | 13–9 | 0.07 | 15% | 29 Jul → | |
| mirage | 7–13 | 0.06 | 17% | 22 Jul → | |
| anubis | 5–13 | -0.03 | 11% | 22 Jul → | |
| anubis | 13–5 | 0.05 | 13% | 22 Jul → | |
| mirage | 12–16 | 0.02 | 11% | 22 Jul → | |
| mirage | 13–7 | 0.11 | 19% | 21 Jul → | |
| dust2 | 13–4 | 0.00 | 10% | 20 Jul → | |
| anubis | 5–13 | -0.03 | 10% | 19 Jul → | |
| inferno | 13–11 | -0.02 | 13% | 19 Jul → | |
| mirage | 13–4 | 0.06 | 13% | 19 Jul → | |
| ancient | 4–13 | -0.05 | 11% | 19 Jul → | |
| mirage | 2–13 | 0.08 | 19% | 19 Jul → | |
| cache | 4–13 | -0.06 | 18% | 17 Jul → | |
| dust2 | 4–13 | -0.04 | 14% | 17 Jul → | |
| train | 13–4 | 0.10 | 13% | 17 Jul → | |
| inferno | 5–13 | 0.05 | 6% | 16 Jul → | |
| cache | 13–11 | 0.14 | 12% | 16 Jul → | |
| inferno | 3–13 | 0.00 | 8% | 16 Jul → | |
| mirage | 3–13 | 0.03 | 7% | 16 Jul → | |
| inferno | 6–13 | 0.01 | 11% | 14 Jul → | |
| cache | 13–9 | 0.05 | 8% | 14 Jul → | |
| cache | 13–2 | 0.07 | 12% | 13 Jul → | |
| inferno | 4–13 | -0.03 | 8% | 13 Jul → | |
| mirage | 8–13 | 0.04 | 20% | 13 Jul → | |
| cache | 8–13 | -0.02 | 11% | 9 Jul → | |
| dust2 | 12–12 | 0.17 | 14% | 9 Jul → | |
| mirage | 10–13 | -0.05 | 10% | 9 Jul → | |
| nuke | 12–12 | 0.04 | 7% | 9 Jul → | |
| dust2 | 11–13 | 0.02 | 21% | 6 Jul → | |
| mirage | 16–13 | 0.01 | 15% | 6 Jul → | |
| overpass | 12–16 | 0.01 | 15% | 3 Jul → | |
| dust2 | 11–13 | -0.00 | 18% | 3 Jul → | |
| office | 4–13 | -0.06 | 7% | 2 Jul → | |
| overpass | 13–8 | 0.03 | 8% | 2 Jul → | |
| dust2 | 13–7 | 0.01 | 23% | 1 Jul → | |
| mirage | 13–6 | 0.17 | 11% | 1 Jul → | |
| mirage | 4–13 | 0.09 | 16% | 1 Jul → | |
| cache | 13–10 | 0.09 | 7% | 1 Jul → | |
| overpass | 0–10 | 0.03 | 10% | 1 Jul → | |
| ancient | 13–5 | 0.00 | 7% | 1 Jul → | |
| nuke | 6–13 | 0.04 | 11% | 30 Jun → | |
| warden | 10–13 | 0.01 | 17% | 30 Jun → | |
| nuke | 13–11 | 0.02 | 18% | 30 Jun → | |
| office | 13–10 | 0.23 | 14% | 30 Jun → | |
| dust2 | 13–2 | 0.14 | 19% | 29 Jun → | |
| warden | 13–6 | 0.13 | 11% | 24 Jun → | |
| alpine | 13–7 | 0.04 | 11% | 24 Jun → | |
| mirage | 15–15 | -0.01 | 9% | 22 Jun → | |
| cache | 12–12 | 0.00 | 17% | 22 Jun → | |
| ancient | 8–13 | -0.07 | 19% | 20 Jun → | |
| train | 13–2 | -0.00 | 9% | 20 Jun → | |
| train | 13–4 | 0.03 | 18% | 20 Jun → | |
| train | 9–13 | 0.01 | 10% | 18 Jun → | |
| anubis | 13–8 | -0.07 | 8% | 17 Jun → | |
| train | 6–13 | 0.10 | 19% | 17 Jun → | |
| nuke | 1–13 | -0.05 | 26% | 16 Jun → | |
| inferno | 4–13 | -0.07 | 9% | 15 Jun → | |
| mirage | 13–3 | 0.06 | 16% | 15 Jun → | |
| vertigo | 12–12 | 0.08 | 18% | 15 Jun → | |
| italy | 13–11 | 0.01 | 13% | 8 Jun → | |
| vertigo | 2–13 | -0.01 | 8% | 6 Jun → | |
| inferno | 13–3 | 0.04 | 19% | 4 Jun → | |
| cache | 12–12 | 0.01 | 13% | 4 Jun → | |
| dust2 | 13–2 | 0.23 | 17% | 31 May → | |
| cache | 13–7 | 0.02 | 15% | 29 May → | |
| anubis | 13–11 | 0.02 | 11% | 29 May → | |
| mirage | 11–13 | -0.05 | 3% | 29 May → | |
| dust2 | 5–13 | 0.03 | 20% | 26 May → | |
| train | 0–8 | -0.13 | 8% | 26 May → | |
| cache | 13–8 | -0.00 | 10% | 25 May → | |
| anubis | 5–13 | -0.08 | 3% | 3 Apr → | |
| nuke | 13–16 | 0.04 | 20% | 3 Apr → | |
| anubis | 7–13 | 0.00 | 13% | 3 Apr → | |
| nuke | 13–9 | 0.01 | 19% | 2 Apr → | |
| dust2 | 7–13 | -0.03 | 10% | 2 Apr → | |
| ancient | 13–10 | -0.00 | 9% | 27 Mar → | |
| nuke | 11–13 | 0.03 | 10% | 27 Mar → | |
| ancient | 13–11 | 0.04 | 14% | 8 Mar → | |
| overpass | 13–2 | 0.00 | 17% | 8 Mar → | |
| nuke | 13–9 | 0.05 | 11% | 8 Mar → |
Match data via Leetify.