Moo Bitch — CS2 Stats
76561199087124892[U:1:1126859164]✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 42.4% | 42.7% | 44.0% | 1.7% short |
| Shot accuracy | 8.1% | 10.8% | 11.6% | 3.5% short |
| Kill/death ratio | 1.19 | 1.00 | 1.03 | above |
| Match win rate | 46.2% | 44.1% | 45.1% | above |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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 · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 85% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 →
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.
Reaction time. 671ms 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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | A | 19 | 12–7 | 63% | 0.03 |
 nuke | A | 19 | 11–8 | 58% | 0.00 |
 dust2 | D | 15 | 4–11 | 27% | -0.01 |
 anubis | D | 13 | 3–10 | 23% | 0.00 |
 ancient | D | 11 | 3–8 | 27% | 0.00 |
 inferno | D | 8 | 0–8 | 0% | -0.02 |
 cache | S | 6 | 4–2 | 67% | 0.04 |
| office | — | 3 | 1–2 | 33% | -0.00 |
 overpass | — | 2 | 0–2 | 0% | 0.04 |
 vertigo | — | 2 | 1–1 | 50% | 0.06 |
 train | — | 2 | 0–2 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 8). 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 | 18 | 44% | 1.19 | 18.4 |
| Dust2 | 12 | 58% | 1.48 | 18.6 |
| Anubis | 9 | 44% | 1.07 | 16.4 |
| Nuke | 9 | 44% | 1.20 | 17.2 |
| Ancient | 3 | 33% | 1.21 | 17.0 |
| Train | 2 | 50% | 1.66 | 21.0 |
| Inferno | 1 | 0% | 0.92 | 11.0 |
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.
- 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 13.7585% — 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 36.2439% — 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.
0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 4–13 | -0.04 | 19% | 8 Aug → | |
| office | 13–6 | -0.01 | 7% | 8 Aug → | |
| mirage | 11–13 | 0.01 | 21% | 6 Aug → | |
| nuke | 8–13 | 0.01 | 13% | 5 Aug → | |
| cache | 13–9 | 0.06 | 7% | 5 Aug → | |
| mirage | 13–9 | 0.07 | 24% | 24 Jul → | |
| mirage | 4–13 | -0.08 | 8% | 24 Jul → | |
| mirage | 13–4 | 0.04 | 11% | 24 Jul → | |
| anubis | 8–13 | -0.00 | 14% | 24 Jul → | |
| inferno | 15–15 | 0.09 | 8% | 22 Jul → | |
| ancient | 13–4 | 0.11 | 9% | 22 Jul → | |
| ancient | 11–13 | 0.06 | 10% | 22 Jul → | |
| inferno | 6–13 | -0.10 | 8% | 22 Jul → | |
| nuke | 13–10 | 0.02 | 6% | 22 Jul → | |
| ancient | 1–13 | -0.07 | 15% | 21 Jul → | |
| mirage | 4–13 | -0.08 | 6% | 18 Jul → | |
| dust2 | 7–13 | -0.07 | 28% | 17 Jul → | |
| anubis | 11–13 | -0.06 | 19% | 17 Jul → | |
| cache | 10–13 | -0.00 | 23% | 16 Jul → | |
| nuke | 13–6 | 0.06 | 24% | 16 Jul → | |
| ancient | 10–2 | 0.01 | 15% | 16 Jul → | |
| anubis | 10–13 | -0.05 | 8% | 15 Jul → | |
| cache | 13–4 | -0.02 | 13% | 15 Jul → | |
| mirage | 12–16 | 0.03 | 19% | 15 Jul → | |
| ancient | 15–15 | -0.00 | 14% | 12 Jul → | |
| mirage | 11–13 | -0.02 | 14% | 12 Jul → | |
| nuke | 13–9 | -0.06 | 3% | 12 Jul → | |
| dust2 | 6–13 | 0.02 | 32% | 12 Jul → | |
| cache | 16–14 | 0.02 | 8% | 11 Jul → | |
| nuke | 13–11 | -0.04 | 8% | 9 Jul → | |
| cache | 13–7 | 0.14 | 12% | 9 Jul → | |
| overpass | 8–13 | 0.06 | 15% | 21 Jun → | |
| anubis | 6–13 | 0.02 | 31% | 20 Jun → | |
| dust2 | 6–13 | -0.06 | 36% | 16 Jun → | |
| inferno | 10–13 | -0.07 | 11% | 16 Jun → | |
| dust2 | 13–8 | 0.02 | 26% | 16 Jun → | |
| nuke | 10–13 | -0.02 | 18% | 15 Jun → | |
| mirage | 13–4 | 0.19 | 37% | 15 Jun → | |
| inferno | 15–15 | -0.02 | 21% | 14 Jun → | |
| nuke | 7–13 | 0.01 | 12% | 14 Jun → | |
| dust2 | 13–8 | 0.06 | 13% | 14 Jun → | |
| cache | 7–13 | 0.03 | 12% | 23 May → | |
| dust2 | 5–13 | -0.00 | 42% | 18 Apr → | |
| dust2 | 13–9 | -0.00 | 13% | 18 Apr → | |
| nuke | 15–15 | 0.01 | 13% | 18 Apr → | |
| dust2 | 13–8 | 0.02 | 10% | 18 Apr → | |
| mirage | 16–14 | -0.02 | 9% | 18 Apr → | |
| dust2 | 9–13 | -0.05 | 17% | 18 Apr → | |
| vertigo | 12–12 | -0.06 | 13% | 29 Mar → | |
| mirage | 13–6 | 0.06 | 20% | 29 Mar → | |
| ancient | 12–16 | -0.05 | 13% | 23 Mar → | |
| nuke | 13–9 | 0.09 | 10% | 23 Mar → | |
| mirage | 13–4 | -0.02 | 13% | 23 Mar → | |
| inferno | 11–13 | 0.02 | 18% | 23 Mar → | |
| anubis | 13–10 | 0.00 | 24% | 22 Mar → | |
| mirage | 13–10 | 0.11 | 17% | 22 Mar → | |
| dust2 | 8–13 | 0.07 | 16% | 21 Mar → | |
| mirage | 13–10 | 0.01 | 23% | 21 Mar → | |
| nuke | 6–13 | 0.07 | 16% | 21 Mar → | |
| overpass | 13–16 | 0.02 | 21% | 21 Mar → | |
| nuke | 9–7 | -0.12 | 23% | 21 Jan → | |
| train | 0–5 | 0.02 | 0% | 30 Mar → | |
| dust2 | 12–16 | 0.01 | 19% | 28 Mar → | |
| anubis | 10–13 | 0.05 | 15% | 27 Mar → | |
| nuke | 4–13 | -0.00 | 15% | 23 Mar → | |
| nuke | 13–10 | 0.10 | 12% | 22 Mar → | |
| anubis | 14–16 | 0.00 | 13% | 22 Mar → | |
| dust2 | 9–13 | -0.01 | 18% | 21 Mar → | |
| mirage | 7–13 | 0.03 | 16% | 17 Mar → | |
| anubis | 13–11 | 0.01 | 7% | 15 Mar → | |
| office | 12–12 | -0.03 | 14% | 15 Mar → | |
| ancient | 5–13 | -0.04 | 23% | 15 Mar → | |
| anubis | 9–13 | -0.02 | 13% | 15 Mar → | |
| nuke | 11–13 | 0.00 | 0% | 14 Mar → | |
| dust2 | 8–13 | -0.05 | 15% | 14 Mar → | |
| nuke | 13–6 | -0.01 | 15% | 14 Mar → | |
| mirage | 13–2 | 0.05 | 23% | 14 Mar → | |
| ancient | 13–5 | 0.01 | 7% | 13 Mar → | |
| inferno | 6–13 | -0.09 | 17% | 13 Mar → | |
| nuke | 13–11 | -0.07 | 10% | 13 Mar → | |
| vertigo | 9–4 | 0.19 | 13% | 12 Mar → | |
| inferno | 7–13 | 0.02 | 13% | 12 Mar → | |
| nuke | 9–13 | -0.02 | 13% | 12 Mar → | |
| ancient | 11–13 | -0.01 | 16% | 12 Mar → | |
| mirage | 13–5 | 0.04 | 23% | 11 Mar → | |
| inferno | 8–13 | -0.01 | 13% | 10 Mar → | |
| anubis | 8–13 | -0.01 | 5% | 10 Mar → | |
| nuke | 13–11 | 0.02 | 11% | 9 Mar → | |
| mirage | 16–13 | 0.02 | 7% | 9 Mar → | |
| anubis | 11–13 | -0.01 | 10% | 9 Mar → | |
| anubis | 13–10 | 0.02 | 16% | 9 Mar → | |
| nuke | 13–8 | -0.02 | 18% | 9 Mar → | |
| ancient | 6–13 | -0.03 | 13% | 8 Mar → | |
| office | 9–13 | 0.03 | 19% | 8 Mar → | |
| ancient | 6–13 | 0.03 | 13% | 8 Mar → | |
| anubis | 8–13 | 0.11 | 7% | 8 Mar → | |
| mirage | 8–13 | 0.02 | 7% | 8 Mar → | |
| train | 9–13 | -0.07 | 15% | 8 Mar → | |
| mirage | 13–11 | 0.05 | 13% | 8 Mar → | |
| dust2 | 13–16 | -0.08 | 13% | 8 Mar → |
Match data via Leetify.
