Churd_Sturge — CS2 Stats
76561198143278134[U:1:183012406]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 |
|---|---|---|
| Headshot rate | 52.8% | 48.1% |
| Shot accuracy | 19.5% | 12.9% |
| Kill/death ratio | 2.09 | 1.08 |
| Match win rate | 53.8% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerReliable in 1v1s
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 sh1ro 93% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Strengths
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 67% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 574ms 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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 24 | 18–6 | 75% | 0.07 | |
| A | 20 | 11–9 | 55% | 0.03 | |
| C | 18 | 7–11 | 39% | 0.03 | |
| B | 17 | 9–8 | 53% | 0.07 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| office | — | 4 | 2–2 | 50% | 0.07 |
| — | 3 | 3–0 | 100% | 0.06 | |
| — | 3 | 2–1 | 67% | 0.07 | |
| — | 1 | 0–1 | 0% | 0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Anubis 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 7 | 71% | 2.01 | 17.1 |
| Anubis | 4 | 50% | 1.37 | 17.8 |
| Ancient | 3 | 100% | 1.55 | 20.3 |
| Nuke | 3 | 67% | 1.08 | 15.7 |
| Dust2 | 2 | 50% | 1.50 | 18.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.16 | 30% | 28 Aug → | ||
| 13–10 | -0.01 | 45% | 28 Aug → | ||
| 12–12 | 0.01 | 33% | 27 Aug → | ||
| 13–4 | 0.15 | 37% | 27 Aug → | ||
| 2–13 | -0.01 | 44% | 22 Aug → | ||
| 5–13 | 0.01 | 30% | 22 Aug → | ||
| 13–2 | 0.03 | 22% | 22 Aug → | ||
| 13–6 | 0.12 | 27% | 22 Aug → | ||
| 13–9 | 0.08 | 18% | 22 Aug → | ||
| 6–13 | -0.01 | 12% | 22 Aug → | ||
| 8–13 | 0.02 | 30% | 21 Aug → | ||
| 10–13 | 0.04 | 25% | 21 Aug → | ||
| 16–14 | 0.07 | 27% | 20 Aug → | ||
| 10–1 | 0.11 | 38% | 20 Aug → | ||
| 13–4 | 0.10 | 26% | 19 Aug → | ||
| 13–8 | 0.06 | 31% | 13 Aug → | ||
| 9–13 | 0.03 | 33% | 10 Aug → | ||
| 13–11 | 0.05 | 27% | 10 Aug → | ||
| 1–13 | 0.00 | 33% | 10 Aug → | ||
| 14–16 | 0.04 | 19% | 9 Aug → | ||
| 7–13 | -0.03 | 24% | 8 Aug → | ||
| 8–13 | 0.05 | 20% | 6 Aug → | ||
| 10–13 | 0.00 | 28% | 6 Aug → | ||
| 5–13 | -0.01 | 16% | 5 Aug → | ||
| 10–13 | -0.02 | 14% | 2 Aug → | ||
| 13–11 | 0.13 | 20% | 26 Jul → | ||
| 6–13 | -0.02 | 23% | 25 Jul → | ||
| 13–6 | 0.16 | 29% | 25 Jul → | ||
| 13–4 | -0.02 | 16% | 24 Jul → | ||
| 13–2 | 0.05 | 26% | 24 Jul → | ||
| 13–6 | 0.07 | 23% | 23 Jul → | ||
| 13–10 | 0.03 | 17% | 23 Jul → | ||
| 13–8 | 0.08 | 25% | 19 Jul → | ||
| 11–13 | 0.05 | 17% | 18 Jul → | ||
| 13–10 | 0.20 | 32% | 18 Jul → | ||
| 13–11 | 0.15 | 19% | 16 Jul → | ||
| 13–6 | 0.05 | 6% | 16 Jul → | ||
| 13–10 | 0.01 | 9% | 14 Jul → | ||
| 5–13 | 0.04 | 15% | 14 Jul → | ||
| 12–5 | 0.09 | 21% | 13 Jul → | ||
| 15–15 | 0.06 | 17% | 13 Jul → | ||
| 13–4 | -0.02 | 30% | 13 Jul → | ||
| 0–13 | -0.01 | 33% | 12 Jul → | ||
| office | 13–7 | 0.12 | 23% | 11 Jul → | |
| office | 10–13 | 0.01 | 20% | 11 Jul → | |
| office | 6–13 | -0.01 | 44% | 11 Jul → | |
| office | 13–8 | 0.15 | 25% | 11 Jul → | |
| 3–13 | -0.04 | 15% | 11 Jul → | ||
| 14–16 | 0.12 | 23% | 10 Jul → | ||
| 1–1 | -0.11 | 0% | 10 Jul → | ||
| 13–11 | -0.00 | 16% | 9 Jul → | ||
| 13–2 | 0.01 | 6% | 9 Jul → | ||
| 9–13 | -0.08 | 22% | 9 Jul → | ||
| 13–2 | 0.07 | 7% | 7 Jul → | ||
| 13–4 | 0.01 | 17% | 2 Jul → | ||
| 9–13 | 0.09 | 22% | 2 Jul → | ||
| 13–8 | 0.03 | 26% | 2 Jul → | ||
| 13–11 | -0.01 | 17% | 1 Jul → | ||
| 3–13 | 0.03 | 24% | 1 Jul → | ||
| 13–9 | -0.01 | 21% | 1 Jul → | ||
| 4–13 | -0.03 | 20% | 1 Jul → | ||
| 13–10 | 0.18 | 29% | 28 Jun → | ||
| 13–5 | 0.03 | 10% | 25 Jun → | ||
| 13–10 | 0.12 | 22% | 25 Jun → | ||
| 13–2 | 0.25 | 31% | 24 Jun → | ||
| 11–13 | 0.07 | 23% | 24 Jun → | ||
| 12–12 | -0.00 | 12% | 23 Jun → | ||
| 7–13 | -0.08 | 16% | 23 Jun → | ||
| 13–0 | 0.08 | 13% | 23 Jun → | ||
| 2–13 | -0.02 | 24% | 20 Jun → | ||
| 13–10 | 0.07 | 22% | 20 Jun → | ||
| 13–2 | 0.04 | 32% | 20 Jun → | ||
| 10–13 | 0.08 | 31% | 15 Jun → | ||
| 11–13 | 0.11 | 19% | 14 Jun → | ||
| 7–13 | -0.02 | 13% | 11 Jun → | ||
| 13–9 | 0.07 | 16% | 11 Jun → | ||
| 13–2 | 0.09 | 19% | 10 Jun → | ||
| 13–7 | 0.07 | 18% | 7 Jun → | ||
| 13–6 | 0.03 | 18% | 7 Jun → | ||
| 13–7 | 0.08 | 27% | 7 Jun → | ||
| 13–10 | 0.03 | 23% | 7 Jun → | ||
| 7–13 | 0.02 | 26% | 5 Jun → | ||
| 13–8 | 0.06 | 17% | 30 May → | ||
| 13–11 | 0.08 | 25% | 29 May → | ||
| 5–13 | 0.02 | 21% | 29 May → | ||
| 13–2 | 0.09 | 18% | 25 May → | ||
| 13–3 | -0.03 | 19% | 25 May → | ||
| 9–13 | 0.03 | 32% | 25 May → | ||
| 13–1 | 0.23 | 28% | 25 May → | ||
| 11–13 | 0.03 | 25% | 25 May → | ||
| 11–13 | -0.01 | 22% | 25 May → | ||
| 13–7 | 0.09 | 33% | 24 May → | ||
| 13–7 | 0.09 | 41% | 23 May → | ||
| 2–13 | 0.08 | 44% | 23 May → | ||
| 13–11 | 0.13 | 31% | 23 May → | ||
| 11–13 | 0.07 | 38% | 22 May → | ||
| 13–6 | 0.11 | 26% | 21 May → | ||
| 11–13 | 0.07 | 17% | 21 May → | ||
| 7–13 | 0.02 | 28% | 17 May → | ||
| 13–4 | 0.04 | 20% | 17 May → |
Match data via Leetify.