X3r000 — CS2 Stats
GB76561198000625973[U:1:40360245]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 40.6% | 51.9% |
| Shot accuracy | 15.9% | 13.7% |
| Kill/death ratio | 1.26 | 1.08 |
| Match win rate | 44.1% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 86% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower aim profile; lower opening-duel success.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
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 |
|---|---|---|---|---|---|
| B | 20 | 9–11 | 45% | -0.01 | |
| B | 18 | 9–9 | 50% | -0.01 | |
| S | 15 | 11–4 | 73% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| S | 9 | 6–3 | 67% | -0.02 | |
| office | C | 9 | 4–5 | 44% | 0.02 |
| B | 6 | 3–3 | 50% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| fachwerk | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
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
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 203 | 60% | 1.04 | 15.1 |
| Ancient | 172 | 47% | 0.97 | 15.6 |
| Inferno | 130 | 52% | 0.99 | 14.7 |
| Overpass | 83 | 59% | 1.05 | 15.7 |
| Nuke | 78 | 45% | 0.98 | 14.8 |
| Cache | 32 | 44% | 0.87 | 13.4 |
| Vertigo | 23 | 35% | 0.86 | 12.9 |
| Mirage | 12 | 42% | 0.80 | 14.5 |
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 14.3074% — 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 32.2844% — 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.
45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.04 | 10% | 27 Aug → | ||
| 13–7 | 0.06 | 11% | 27 Aug → | ||
| 10–13 | -0.07 | 11% | 27 Aug → | ||
| 13–8 | 0.05 | 18% | 27 Aug → | ||
| 13–10 | 0.01 | 8% | 27 Aug → | ||
| 13–9 | 0.00 | 20% | 27 Aug → | ||
| 13–7 | -0.08 | 8% | 27 Aug → | ||
| 15–15 | 0.02 | 14% | 26 Aug → | ||
| fachwerk | 13–8 | -0.02 | 14% | 25 Aug → | |
| 13–7 | 0.07 | 17% | 25 Aug → | ||
| 10–13 | -0.00 | 14% | 24 Aug → | ||
| 13–10 | -0.05 | 14% | 21 Aug → | ||
| 13–5 | -0.01 | 27% | 18 Aug → | ||
| 11–13 | -0.03 | 13% | 18 Aug → | ||
| 13–7 | 0.02 | 13% | 16 Aug → | ||
| 16–14 | 0.00 | 19% | 15 Aug → | ||
| 13–10 | -0.06 | 9% | 15 Aug → | ||
| 7–13 | 0.01 | 7% | 13 Aug → | ||
| 5–13 | 0.01 | 22% | 13 Aug → | ||
| 13–7 | 0.04 | 19% | 13 Aug → | ||
| 9–13 | -0.03 | 15% | 11 Aug → | ||
| 10–13 | -0.02 | 11% | 11 Aug → | ||
| 13–10 | -0.01 | 13% | 9 Aug → | ||
| 13–7 | 0.07 | 13% | 7 Aug → | ||
| 10–13 | -0.07 | 11% | 4 Aug → | ||
| 9–13 | 0.01 | 7% | 4 Aug → | ||
| 13–1 | 0.04 | 22% | 2 Aug → | ||
| 13–6 | -0.02 | 22% | 1 Aug → | ||
| 5–1 | -0.00 | 17% | 1 Aug → | ||
| 9–13 | 0.04 | 20% | 1 Aug → | ||
| 2–6 | 0.02 | 6% | 1 Aug → | ||
| 8–13 | -0.05 | 8% | 1 Aug → | ||
| 13–7 | -0.05 | 11% | 30 Jul → | ||
| 13–5 | 0.04 | 12% | 27 Jul → | ||
| 11–13 | -0.10 | 10% | 27 Jul → | ||
| 13–16 | 0.02 | 16% | 26 Jul → | ||
| 13–11 | 0.01 | 13% | 23 Jul → | ||
| 8–13 | 0.06 | 22% | 22 Jul → | ||
| 13–7 | -0.00 | 15% | 22 Jul → | ||
| 13–1 | 0.04 | 12% | 22 Jul → | ||
| 13–10 | 0.04 | 15% | 21 Jul → | ||
| 2–13 | -0.04 | 12% | 19 Jul → | ||
| 4–13 | -0.03 | 15% | 15 Jul → | ||
| 13–10 | 0.01 | 9% | 12 Jul → | ||
| 13–11 | 0.04 | 5% | 12 Jul → | ||
| 7–13 | -0.04 | 8% | 12 Jul → | ||
| 13–2 | -0.02 | 33% | 12 Jul → | ||
| 13–5 | -0.07 | 21% | 12 Jul → | ||
| 13–4 | 0.04 | 34% | 12 Jul → | ||
| 10–13 | 0.04 | 11% | 11 Jul → | ||
| 9–13 | -0.01 | 15% | 11 Jul → | ||
| 13–2 | 0.02 | 10% | 11 Jul → | ||
| 13–8 | 0.04 | 14% | 11 Jul → | ||
| 5–1 | 0.01 | 16% | 11 Jul → | ||
| 9–13 | -0.05 | 13% | 11 Jul → | ||
| 13–3 | 0.09 | 16% | 11 Jul → | ||
| 13–10 | 0.02 | 14% | 11 Jul → | ||
| 11–13 | 0.04 | 16% | 7 Jul → | ||
| 13–9 | -0.04 | 11% | 27 Jun → | ||
| 8–13 | -0.01 | 14% | 25 Jun → | ||
| 8–13 | -0.06 | 19% | 18 Jun → | ||
| 13–7 | 0.01 | 19% | 18 Jun → | ||
| 13–11 | 0.04 | 13% | 9 Jun → | ||
| 5–13 | -0.03 | 11% | 6 Jun → | ||
| 4–13 | -0.07 | 25% | 4 Jun → | ||
| 13–10 | 0.02 | 24% | 3 Jun → | ||
| 4–13 | -0.04 | 14% | 3 Jun → | ||
| 5–13 | -0.06 | 16% | 22 May → | ||
| 12–12 | -0.02 | 24% | 22 May → | ||
| 11–13 | 0.03 | 21% | 21 May → | ||
| 12–12 | -0.04 | 17% | 15 May → | ||
| 13–8 | 0.01 | 10% | 15 May → | ||
| 7–13 | -0.02 | 17% | 5 May → | ||
| 13–4 | -0.07 | 13% | 30 Apr → | ||
| 13–5 | -0.01 | 19% | 30 Apr → | ||
| 9–13 | 0.00 | 15% | 23 Apr → | ||
| 13–2 | -0.01 | 18% | 23 Apr → | ||
| 6–13 | 0.03 | 15% | 13 Apr → | ||
| 13–16 | 0.00 | 20% | 5 Apr → | ||
| office | 11–13 | -0.03 | 36% | 5 Apr → | |
| 13–7 | 0.03 | 12% | 4 Apr → | ||
| 13–10 | -0.03 | 12% | 26 Mar → | ||
| office | 9–13 | 0.06 | 27% | 22 Mar → | |
| office | 5–13 | 0.01 | 56% | 21 Mar → | |
| office | 13–10 | 0.01 | 22% | 21 Mar → | |
| office | 11–13 | 0.09 | 26% | 21 Mar → | |
| office | 13–4 | 0.02 | 20% | 21 Mar → | |
| 16–14 | 0.03 | 22% | 20 Mar → | ||
| 5–13 | -0.03 | 12% | 20 Mar → | ||
| office | 13–7 | 0.01 | 34% | 19 Mar → | |
| 13–4 | 0.10 | 27% | 19 Mar → | ||
| 9–13 | -0.03 | 17% | 17 Mar → | ||
| 13–10 | -0.01 | 27% | 17 Mar → | ||
| office | 13–4 | 0.04 | 28% | 12 Mar → | |
| office | 3–13 | -0.02 | 6% | 12 Mar → | |
| 13–11 | 0.00 | 13% | 12 Mar → | ||
| 17–19 | -0.04 | 15% | 26 Feb → | ||
| 6–13 | -0.04 | 19% | 26 Feb → | ||
| 11–13 | -0.04 | 19% | 26 Feb → | ||
| 13–10 | -0.02 | 18% | 26 Feb → |
Match data via Leetify.