churro is my cat — CS2 Stats
76561198199322857[U:1:239057129]
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 37.3% | 44.1% | 47.2% | 10.0% short |
| Shot accuracy | 7.0% | 11.4% | 12.7% | 5.7% short |
| Kill/death ratio | 1.01 | 1.03 | 1.09 | 0.08 short |
| Match win rate | 42.7% | 45.2% | 46.6% | 3.9% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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 · -0.01 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 Twistzz 92% playstyle similarity
Most alike: positioning profile, 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 →
CSDB Rating breakdown
Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 21 | 11–10 | 52% | 0.03 | |
| S | 15 | 10–5 | 67% | 0.02 | |
| D | 15 | 5–10 | 33% | 0.02 | |
| A | 14 | 8–6 | 57% | 0.00 | |
| C | 13 | 5–8 | 38% | -0.00 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| C | 8 | 3–5 | 38% | -0.03 | |
| debris | — | 1 | 1–0 | 100% | 0.14 |
| — | 1 | 0–1 | 0% | 0.00 | |
| poseidon | — | 1 | 0–1 | 0% | -0.05 |
| sanctum | — | 1 | 1–0 | 100% | 0.20 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 15). 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 86 | 55% | 1.11 | 16.3 |
| Dust2 | 69 | 45% | 0.88 | 14.2 |
| Anubis | 41 | 44% | 1.08 | 17.5 |
| Ancient | 40 | 52% | 0.98 | 14.5 |
| Inferno | 21 | 48% | 0.89 | 15.2 |
| Nuke | 18 | 50% | 0.96 | 14.8 |
| Overpass | 13 | 69% | 1.07 | 16.6 |
| Cache | 4 | 0% | 0.72 | 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 36.1309% — 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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.04 | 24% | 23 Aug → | ||
| 11–13 | 0.01 | 15% | 23 Aug → | ||
| 13–8 | 0.06 | 18% | 23 Aug → | ||
| 13–9 | 0.14 | 19% | 23 Aug → | ||
| 13–10 | 0.03 | 13% | 22 Aug → | ||
| 13–8 | 0.05 | 23% | 20 Aug → | ||
| 13–7 | 0.04 | 24% | 15 Aug → | ||
| 11–13 | -0.01 | 9% | 14 Aug → | ||
| 13–4 | 0.05 | 9% | 14 Aug → | ||
| 15–15 | -0.03 | 10% | 13 Aug → | ||
| 13–2 | 0.14 | 19% | 9 Aug → | ||
| 16–14 | 0.02 | 18% | 9 Aug → | ||
| 8–13 | -0.00 | 8% | 7 Aug → | ||
| 9–5 | 0.06 | 11% | 7 Aug → | ||
| 13–9 | -0.03 | 6% | 6 Aug → | ||
| 9–1 | 0.23 | 11% | 6 Aug → | ||
| 6–13 | 0.01 | 15% | 1 Aug → | ||
| 13–8 | 0.06 | 14% | 31 Jul → | ||
| 13–9 | 0.06 | 27% | 31 Jul → | ||
| 13–10 | -0.01 | 21% | 31 Jul → | ||
| 8–2 | -0.01 | 42% | 31 Jul → | ||
| 9–13 | -0.04 | 14% | 28 Jul → | ||
| 13–10 | 0.01 | 10% | 27 Jul → | ||
| 4–13 | -0.04 | 17% | 27 Jul → | ||
| 13–5 | -0.00 | 6% | 26 Jul → | ||
| 13–4 | 0.07 | 26% | 26 Jul → | ||
| 15–15 | 0.01 | 9% | 26 Jul → | ||
| 13–9 | 0.03 | 15% | 25 Jul → | ||
| 7–13 | 0.11 | 22% | 23 Jul → | ||
| 7–13 | -0.02 | 6% | 22 Jul → | ||
| debris | 9–5 | 0.14 | 19% | 21 Jul → | |
| 9–3 | 0.01 | 20% | 21 Jul → | ||
| 14–16 | -0.03 | 12% | 16 Jul → | ||
| 16–14 | 0.11 | 13% | 15 Jul → | ||
| 13–7 | 0.07 | 14% | 15 Jul → | ||
| 14–16 | 0.01 | 7% | 14 Jul → | ||
| 13–6 | 0.04 | 21% | 13 Jul → | ||
| 5–13 | -0.01 | 17% | 13 Jul → | ||
| 13–9 | 0.06 | 11% | 12 Jul → | ||
| 8–13 | -0.06 | 15% | 10 Jul → | ||
| 13–5 | -0.04 | 15% | 6 Jul → | ||
| 10–13 | 0.00 | 14% | 4 Jul → | ||
| 9–13 | 0.02 | 15% | 3 Jul → | ||
| 10–13 | -0.02 | 23% | 3 Jul → | ||
| 9–13 | 0.01 | 14% | 28 Jun → | ||
| 6–13 | -0.03 | 18% | 26 Jun → | ||
| 11–13 | -0.00 | 30% | 26 Jun → | ||
| 13–11 | -0.01 | 23% | 25 Jun → | ||
| 13–4 | 0.05 | 24% | 24 Jun → | ||
| 8–13 | 0.01 | 16% | 24 Jun → | ||
| 4–13 | -0.02 | 16% | 21 Jun → | ||
| 13–7 | 0.10 | 12% | 19 Jun → | ||
| 11–13 | -0.01 | 12% | 19 Jun → | ||
| 16–12 | 0.04 | 13% | 18 Jun → | ||
| 11–13 | -0.03 | 3% | 14 Jun → | ||
| 19–17 | 0.02 | 20% | 14 Jun → | ||
| 9–13 | -0.03 | 8% | 13 Jun → | ||
| 13–6 | 0.05 | 24% | 12 Jun → | ||
| 6–13 | -0.08 | 16% | 9 Jun → | ||
| 13–11 | 0.01 | 19% | 7 Jun → | ||
| 13–8 | 0.04 | 9% | 7 Jun → | ||
| 6–13 | -0.03 | 17% | 31 May → | ||
| 13–6 | 0.07 | 5% | 31 May → | ||
| 8–13 | -0.03 | 10% | 28 May → | ||
| 13–8 | 0.11 | 24% | 28 May → | ||
| poseidon | 4–9 | -0.05 | 13% | 25 May → | |
| sanctum | 9–2 | 0.20 | 16% | 25 May → | |
| 1–9 | -0.15 | 8% | 25 May → | ||
| 13–5 | 0.00 | 14% | 25 May → | ||
| 13–4 | 0.10 | 13% | 25 May → | ||
| 9–13 | 0.01 | 16% | 25 May → | ||
| 13–9 | 0.00 | 12% | 24 May → | ||
| 8–13 | -0.05 | 15% | 24 May → | ||
| 10–13 | -0.04 | 7% | 19 May → | ||
| 16–13 | 0.03 | 18% | 18 May → | ||
| 11–13 | -0.06 | 10% | 15 May → | ||
| 15–15 | 0.02 | 15% | 11 May → | ||
| 5–13 | -0.10 | 19% | 10 May → | ||
| 2–13 | -0.02 | 21% | 10 May → | ||
| 12–12 | 0.02 | 11% | 9 May → | ||
| 16–12 | 0.07 | 11% | 7 May → | ||
| 9–13 | -0.04 | 30% | 7 May → | ||
| 11–13 | 0.03 | 14% | 7 May → | ||
| 4–9 | -0.08 | 29% | 7 May → | ||
| 9–5 | 0.06 | 32% | 7 May → | ||
| 13–10 | 0.08 | 21% | 5 May → | ||
| 13–4 | 0.03 | 9% | 5 May → | ||
| 13–7 | 0.00 | 14% | 5 May → | ||
| 11–13 | -0.04 | 15% | 4 May → | ||
| 9–13 | -0.07 | 12% | 3 May → | ||
| 19–15 | -0.02 | 15% | 3 May → | ||
| 13–8 | -0.05 | 13% | 3 May → | ||
| 0–13 | -0.04 | 12% | 3 May → | ||
| 4–13 | -0.01 | 11% | 3 May → | ||
| 13–8 | -0.02 | 9% | 2 May → | ||
| 13–7 | 0.11 | 26% | 2 May → | ||
| 8–8 | 0.06 | 13% | 1 May → | ||
| 6–13 | -0.05 | 11% | 1 May → | ||
| 6–13 | 0.00 | 6% | 1 May → | ||
| 13–4 | -0.02 | 16% | 1 May → |
Match data via Leetify.