x1re — CS2 Stats
76561198931478447[U:1:971212719]
How this compares with the same rank
Median values for Red band among CSDB-tracked players (n=1,873), 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 | Red band median |
|---|---|---|
| Headshot rate | 39.8% | 49.9% |
| Shot accuracy | 10.7% | 13.4% |
| Kill/death ratio | 1.03 | 1.12 |
| Match win rate | 45.1% | 48.4% |
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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
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 ropz 89% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher opening-fight frequency; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
 dust2 | B | 41 | 19–22 | 46% | 0.00 |
 mirage | A | 15 | 9–6 | 60% | -0.01 |
 ancient | B | 13 | 7–6 | 54% | 0.01 |
 anubis | D | 7 | 2–5 | 29% | 0.01 |
 inferno | B | 6 | 3–3 | 50% | -0.04 |
 cache | C | 5 | 2–3 | 40% | 0.02 |
 vertigo | S | 5 | 4–1 | 80% | 0.01 |
 nuke | D | 5 | 1–4 | 20% | -0.07 |
 train | — | 2 | 1–1 | 50% | 0.01 |
| office | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 55 | 56% | 1.34 | 18.2 |
| Ancient | 28 | 57% | 1.18 | 16.4 |
| Mirage | 26 | 46% | 1.16 | 17.2 |
| Inferno | 15 | 53% | 1.07 | 16.1 |
| Anubis | 13 | 54% | 1.17 | 16.3 |
| Vertigo | 8 | 88% | 1.27 | 18.0 |
| Nuke | 4 | 75% | 1.17 | 15.0 |
| Cache | 4 | 50% | 1.00 | 13.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 5–0 | 0.15 | 22% | 27 Aug → | |
| dust2 | 13–7 | 0.07 | 25% | 27 Aug → | |
| mirage | 13–6 | 0.06 | 12% | 27 Aug → | |
| dust2 | 4–13 | -0.08 | 31% | 27 Aug → | |
| dust2 | 2–13 | 0.00 | 32% | 27 Aug → | |
| cache | 13–7 | 0.10 | 30% | 27 Aug → | |
| inferno | 13–11 | -0.01 | 15% | 26 Aug → | |
| ancient | 16–13 | 0.01 | 19% | 26 Aug → | |
| dust2 | 2–11 | 0.00 | 10% | 26 Aug → | |
| mirage | 13–9 | -0.00 | 18% | 26 Aug → | |
| cache | 12–12 | -0.01 | 15% | 26 Aug → | |
| vertigo | 13–10 | -0.03 | 19% | 24 Aug → | |
| vertigo | 7–13 | 0.04 | 29% | 24 Aug → | |
| mirage | 16–14 | 0.01 | 29% | 24 Aug → | |
| mirage | 13–3 | -0.02 | 35% | 24 Aug → | |
| anubis | 16–14 | -0.04 | 24% | 24 Aug → | |
| dust2 | 13–1 | 0.06 | 29% | 24 Aug → | |
| dust2 | 10–13 | 0.02 | 26% | 24 Aug → | |
| dust2 | 13–7 | 0.01 | 29% | 23 Aug → | |
| dust2 | 8–13 | 0.04 | 28% | 23 Aug → | |
| anubis | 8–13 | 0.00 | 15% | 22 Aug → | |
| dust2 | 11–13 | 0.04 | 14% | 22 Aug → | |
| ancient | 13–8 | 0.08 | 19% | 22 Aug → | |
| mirage | 9–13 | -0.09 | 5% | 22 Aug → | |
| mirage | 13–10 | -0.03 | 16% | 21 Aug → | |
| mirage | 8–13 | -0.01 | 27% | 20 Aug → | |
| dust2 | 16–14 | 0.03 | 29% | 20 Aug → | |
| ancient | 13–4 | -0.00 | 23% | 20 Aug → | |
| mirage | 0–13 | -0.06 | 44% | 19 Aug → | |
| ancient | 5–13 | -0.06 | 21% | 19 Aug → | |
| dust2 | 12–12 | 0.06 | 27% | 19 Aug → | |
| mirage | 13–1 | 0.02 | 28% | 19 Aug → | |
| dust2 | 13–7 | -0.07 | 50% | 19 Aug → | |
| vertigo | 13–6 | 0.02 | 52% | 18 Aug → | |
| ancient | 13–0 | -0.01 | 20% | 18 Aug → | |
| dust2 | 13–2 | 0.02 | 10% | 18 Aug → | |
| dust2 | 7–13 | -0.09 | 7% | 18 Aug → | |
| mirage | 13–4 | 0.02 | 25% | 18 Aug → | |
| dust2 | 13–2 | 0.05 | 17% | 18 Aug → | |
| inferno | 13–0 | -0.12 | 6% | 17 Aug → | |
| dust2 | 11–13 | -0.05 | 23% | 17 Aug → | |
| anubis | 13–4 | 0.02 | 31% | 17 Aug → | |
| dust2 | 11–13 | 0.04 | 25% | 17 Aug → | |
| nuke | 9–13 | -0.10 | 45% | 14 Aug → | |
| dust2 | 12–16 | -0.01 | 22% | 14 Aug → | |
| anubis | 11–13 | -0.06 | 20% | 14 Aug → | |
| train | 13–10 | 0.08 | 28% | 14 Aug → | |
| mirage | 6–13 | -0.01 | 26% | 14 Aug → | |
| dust2 | 13–4 | -0.06 | 21% | 14 Aug → | |
| inferno | 6–9 | -0.04 | 18% | 14 Aug → | |
| ancient | 3–13 | -0.00 | 15% | 13 Aug → | |
| mirage | 13–5 | 0.06 | 24% | 13 Aug → | |
| ancient | 7–13 | -0.08 | 21% | 13 Aug → | |
| dust2 | 13–16 | 0.05 | 30% | 13 Aug → | |
| inferno | 7–13 | -0.01 | 24% | 13 Aug → | |
| dust2 | 13–10 | 0.06 | 29% | 12 Aug → | |
| inferno | 13–10 | -0.04 | 23% | 12 Aug → | |
| ancient | 10–13 | 0.06 | 33% | 12 Aug → | |
| train | 10–13 | -0.05 | 19% | 12 Aug → | |
| mirage | 13–7 | -0.03 | 22% | 11 Aug → | |
| mirage | 7–13 | -0.01 | 37% | 11 Aug → | |
| dust2 | 13–4 | -0.02 | 30% | 10 Aug → | |
| cache | 0–13 | -0.05 | 11% | 10 Aug → | |
| nuke | 10–13 | -0.08 | 28% | 10 Aug → | |
| dust2 | 13–8 | 0.00 | 19% | 10 Aug → | |
| dust2 | 7–13 | -0.12 | 18% | 7 Aug → | |
| anubis | 7–13 | 0.09 | 38% | 7 Aug → | |
| dust2 | 13–1 | 0.02 | 50% | 7 Aug → | |
| vertigo | 13–7 | 0.05 | 22% | 29 Jul → | |
| vertigo | 13–11 | -0.02 | 27% | 29 Jul → | |
| ancient | 11–13 | -0.05 | 16% | 27 Jul → | |
| mirage | 10–13 | -0.02 | 19% | 27 Jul → | |
| ancient | 13–6 | 0.03 | 14% | 27 Jul → | |
| dust2 | 10–13 | 0.00 | 41% | 27 Jul → | |
| ancient | 13–9 | 0.04 | 19% | 27 Jul → | |
| nuke | 1–13 | -0.07 | 24% | 27 Jul → | |
| dust2 | 13–11 | 0.03 | 26% | 27 Jul → | |
| dust2 | 0–13 | -0.06 | 20% | 26 Jul → | |
| office | 13–7 | -0.01 | 32% | 26 Jul → | |
| nuke | 4–13 | -0.12 | 14% | 25 Jul → | |
| dust2 | 6–13 | -0.03 | 20% | 25 Jul → | |
| dust2 | 13–8 | 0.07 | 21% | 25 Jul → | |
| dust2 | 12–12 | 0.03 | 37% | 25 Jul → | |
| dust2 | 13–11 | -0.02 | 29% | 25 Jul → | |
| nuke | 13–11 | -0.01 | 19% | 24 Jul → | |
| dust2 | 6–13 | 0.05 | 31% | 24 Jul → | |
| dust2 | 13–10 | 0.05 | 26% | 24 Jul → | |
| dust2 | 13–11 | -0.02 | 25% | 23 Jul → | |
| dust2 | 13–3 | 0.03 | 17% | 23 Jul → | |
| dust2 | 7–13 | -0.03 | 28% | 22 Jul → | |
| cache | 4–13 | -0.07 | 20% | 22 Jul → | |
| dust2 | 13–3 | 0.03 | 50% | 22 Jul → | |
| anubis | 10–13 | 0.04 | 18% | 22 Jul → | |
| anubis | 11–13 | 0.05 | 29% | 22 Jul → | |
| dust2 | 14–16 | -0.02 | 19% | 21 Jul → | |
| ancient | 8–13 | 0.04 | 27% | 20 Jul → | |
| inferno | 9–13 | -0.04 | 16% | 20 Jul → | |
| ancient | 13–6 | 0.04 | 21% | 16 Jul → | |
| dust2 | 1–13 | -0.11 | 13% | 16 Jul → | |
| dust2 | 2–13 | -0.07 | 50% | 16 Jul → |
Match data via Leetify.