GamingKitty77 — CS2 Stats
US76561198164862596[U:1:204596868]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 56.0% | 52.8% | above |
| Shot accuracy | 16.7% | 13.7% | above |
| Kill/death ratio | 1.16 | 1.08 | above |
| Match win rate | 47.4% | 49.2% | 1.8% short |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 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: +10pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 93% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: 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 →
Strengths & areas to improve
Strengths
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 601ms 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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | B | 21 | 11–10 | 52% | 0.01 |
 dust2 | C | 18 | 8–10 | 44% | 0.01 |
 nuke | A | 15 | 9–6 | 60% | 0.08 |
 inferno | D | 14 | 4–10 | 29% | 0.04 |
 ancient | B | 10 | 5–5 | 50% | 0.01 |
 overpass | A | 7 | 4–3 | 57% | 0.09 |
 cache | — | 4 | 3–1 | 75% | -0.00 |
 anubis | — | 4 | 3–1 | 75% | 0.04 |
 train | — | 4 | 3–1 | 75% | 0.05 |
| boulder | — | 1 | 1–0 | 100% | 0.07 |
 vertigo | — | 1 | 0–1 | 0% | 0.09 |
| rooftop | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 14). 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 58 | 52% | 1.11 | 16.9 |
| Dust2 | 39 | 49% | 1.02 | 15.7 |
| Inferno | 22 | 32% | 0.97 | 14.7 |
| Ancient | 18 | 39% | 1.09 | 15.6 |
| Anubis | 15 | 33% | 0.83 | 13.5 |
| Nuke | 12 | 58% | 0.77 | 12.9 |
| Overpass | 7 | 43% | 1.16 | 18.1 |
| Vertigo | 6 | 33% | 0.71 | 12.8 |
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 35.9105% — 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.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 3–13 | 0.03 | 34% | 26 Aug → | |
| dust2 | 13–10 | 0.01 | 32% | 26 Aug → | |
| cache | 16–13 | 0.01 | 27% | 16 Aug → | |
| cache | 19–17 | -0.01 | 28% | 13 Aug → | |
| anubis | 13–9 | -0.01 | 18% | 10 Aug → | |
| mirage | 13–9 | 0.02 | 30% | 10 Aug → | |
| dust2 | 11–13 | 0.02 | 48% | 8 Aug → | |
| mirage | 13–9 | -0.02 | 22% | 3 Aug → | |
| mirage | 11–13 | -0.05 | 32% | 25 Jul → | |
| mirage | 10–13 | -0.05 | 26% | 24 Jul → | |
| nuke | 9–13 | 0.07 | 20% | 14 Jul → | |
| boulder | 13–3 | 0.07 | 45% | 9 Jul → | |
| dust2 | 10–13 | -0.03 | 18% | 25 Jun → | |
| nuke | 3–13 | -0.04 | 16% | 25 Jun → | |
| dust2 | 13–16 | 0.05 | 23% | 8 Jun → | |
| mirage | 16–12 | 0.01 | 26% | 4 Jun → | |
| ancient | 13–3 | 0.13 | 17% | 2 Jun → | |
| cache | 4–13 | 0.01 | 31% | 1 Jun → | |
| overpass | 13–2 | 0.15 | 40% | 1 Jun → | |
| dust2 | 13–7 | -0.02 | 34% | 26 May → | |
| mirage | 13–6 | 0.03 | 15% | 26 May → | |
| dust2 | 13–8 | 0.03 | 25% | 25 May → | |
| inferno | 7–13 | 0.01 | 36% | 25 May → | |
| mirage | 13–0 | -0.01 | 16% | 23 May → | |
| mirage | 13–10 | 0.08 | 47% | 22 May → | |
| ancient | 9–13 | -0.07 | 35% | 22 May → | |
| ancient | 13–11 | 0.01 | 28% | 20 May → | |
| overpass | 1–11 | -0.07 | 15% | 20 May → | |
| dust2 | 13–7 | 0.15 | 38% | 19 May → | |
| inferno | 5–13 | 0.07 | 23% | 19 May → | |
| mirage | 7–13 | 0.12 | 34% | 16 May → | |
| nuke | 10–13 | 0.07 | 39% | 16 May → | |
| inferno | 10–13 | 0.05 | 31% | 16 May → | |
| train | 13–4 | 0.13 | 23% | 16 May → | |
| nuke | 13–7 | 0.11 | 35% | 15 May → | |
| cache | 13–6 | -0.02 | 56% | 15 May → | |
| ancient | 8–13 | 0.03 | 0% | 4 May → | |
| dust2 | 13–7 | 0.04 | 24% | 29 Apr → | |
| overpass | 14–16 | 0.05 | 18% | 22 Apr → | |
| anubis | 8–13 | -0.01 | 18% | 21 Apr → | |
| inferno | 7–13 | 0.03 | 20% | 21 Apr → | |
| inferno | 10–13 | -0.00 | 25% | 17 Apr → | |
| mirage | 13–9 | 0.05 | 28% | 17 Apr → | |
| dust2 | 13–10 | -0.01 | 14% | 17 Apr → | |
| nuke | 4–13 | -0.00 | 60% | 17 Apr → | |
| nuke | 7–9 | 0.02 | 31% | 9 Apr → | |
| nuke | 13–3 | 0.12 | 17% | 7 Apr → | |
| mirage | 3–10 | -0.03 | 36% | 27 Mar → | |
| inferno | 9–13 | 0.00 | 31% | 17 Mar → | |
| mirage | 8–13 | -0.00 | 13% | 15 Mar → | |
| overpass | 0–13 | 0.01 | 50% | 13 Mar → | |
| mirage | 16–12 | 0.03 | 14% | 13 Mar → | |
| overpass | 13–3 | 0.28 | 37% | 12 Mar → | |
| dust2 | 13–10 | -0.01 | 39% | 7 Mar → | |
| inferno | 11–13 | -0.02 | 21% | 5 Mar → | |
| ancient | 9–13 | -0.01 | 28% | 1 Mar → | |
| dust2 | 7–13 | -0.10 | 28% | 1 Mar → | |
| dust2 | 9–13 | -0.03 | 22% | 28 Feb → | |
| mirage | 13–11 | -0.04 | 18% | 28 Feb → | |
| ancient | 5–13 | -0.08 | 47% | 26 Feb → | |
| anubis | 13–8 | 0.06 | 16% | 25 Feb → | |
| mirage | 15–19 | 0.04 | 23% | 19 Feb → | |
| dust2 | 7–13 | 0.04 | 34% | 17 Feb → | |
| ancient | 13–8 | -0.02 | 31% | 15 Feb → | |
| inferno | 9–7 | 0.00 | 24% | 13 Feb → | |
| mirage | 10–13 | 0.02 | 21% | 13 Feb → | |
| nuke | 13–10 | 0.06 | 27% | 13 Feb → | |
| inferno | 13–7 | 0.00 | 33% | 2 Feb → | |
| dust2 | 2–13 | -0.05 | 43% | 2 Feb → | |
| mirage | 2–5 | -0.05 | 29% | 31 Jan → | |
| anubis | 13–3 | 0.12 | 22% | 31 Jan → | |
| nuke | 11–13 | -0.05 | 28% | 31 Jan → | |
| ancient | 13–6 | -0.00 | 24% | 29 Jan → | |
| overpass | 13–5 | -0.00 | 19% | 29 Jan → | |
| mirage | 3–0 | 0.08 | 50% | 29 Jan → | |
| nuke | 13–1 | 0.05 | 34% | 29 Jan → | |
| dust2 | 9–13 | 0.01 | 42% | 26 Jan → | |
| ancient | 13–10 | 0.11 | 37% | 19 Jan → | |
| train | 13–11 | 0.04 | 48% | 16 Jan → | |
| mirage | 5–13 | 0.01 | 50% | 16 Jan → | |
| train | 3–13 | 0.04 | 35% | 16 Jan → | |
| inferno | 9–2 | 0.30 | 27% | 16 Jan → | |
| vertigo | 7–9 | 0.09 | 30% | 16 Jan → | |
| inferno | 8–8 | 0.04 | 29% | 16 Jan → | |
| train | 13–11 | -0.02 | 31% | 14 Jan → | |
| inferno | 5–9 | -0.09 | 16% | 14 Jan → | |
| inferno | 9–5 | 0.18 | 28% | 14 Jan → | |
| nuke | 9–7 | 0.18 | 50% | 14 Jan → | |
| nuke | 13–11 | 0.10 | 59% | 14 Jan → | |
| nuke | 9–2 | 0.20 | 50% | 10 Jan → | |
| inferno | 3–9 | -0.05 | 27% | 10 Jan → | |
| nuke | 9–6 | 0.11 | 23% | 10 Jan → | |
| dust2 | 9–13 | 0.02 | 48% | 10 Jan → | |
| nuke | 13–2 | 0.24 | 40% | 10 Jan → | |
| rooftop | 5–9 | 0.02 | 39% | 10 Jan → | |
| mirage | 4–13 | -0.05 | 37% | 9 Jan → | |
| dust2 | 2–13 | -0.01 | 23% | 9 Jan → | |
| mirage | 13–9 | 0.03 | 33% | 9 Jan → | |
| dust2 | 13–11 | 0.02 | 28% | 9 Jan → | |
| overpass | 13–0 | 0.18 | 30% | 8 Jan → |
Match data via Leetify.