Mr. Slave — CS2 Stats
76561199259341401[U:1:1299075673]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 | 42.8% | 42.5% | 44.2% | 1.4% short |
| Shot accuracy | 0.8% | 10.9% | 11.2% | 10.4% short |
| Kill/death ratio | 0.97 | 0.99 | 1.04 | 0.06 short |
| Match win rate | 42.4% | 44.2% | 45.3% | 2.9% short |
This profile sits below the typical Level 5 player on every metric we can compare.
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: +0pp win rate · +0.02 avg rating
Player DNA
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 81% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; lower aim 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
Areas to improve
Reaction time. 631ms 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 4.4/10 (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 | C | 22 | 9–13 | 41% | -0.00 |
 dust2 | B | 20 | 10–10 | 50% | 0.00 |
 nuke | A | 16 | 9–7 | 56% | 0.01 |
 inferno | A | 8 | 5–3 | 63% | 0.00 |
 ancient | S | 7 | 5–2 | 71% | -0.01 |
 cache | B | 6 | 3–3 | 50% | -0.02 |
 overpass | S | 5 | 4–1 | 80% | -0.01 |
 anubis | D | 5 | 1–4 | 20% | 0.01 |
| office | A | 5 | 3–2 | 60% | 0.03 |
 train | — | 4 | 2–2 | 50% | 0.01 |
 vertigo | — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 2 | 50% | 1.11 | 10.0 |
| Nuke | 2 | 0% | 0.71 | 12.5 |
| Anubis | 1 | 100% | 0.56 | 9.0 |
| Mirage | 1 | 100% | 0.95 | 20.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2532° — above the 12° mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.467 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 6–13 | -0.13 | 25% | 17 May → | |
| cache | 13–1 | 0.02 | 23% | 17 May → | |
| cache | 11–13 | -0.01 | 23% | 16 May → | |
| cache | 4–13 | -0.01 | 22% | 16 May → | |
| mirage | 2–4 | 0.02 | 33% | 10 May → | |
| cache | 13–4 | -0.00 | 16% | 9 May → | |
| cache | 13–10 | 0.03 | 21% | 29 Apr → | |
| dust2 | 7–13 | 0.06 | 37% | 17 Apr → | |
| dust2 | 6–5 | 0.07 | 26% | 15 Apr → | |
| ancient | 9–4 | 0.05 | 50% | 15 Apr → | |
| nuke | 11–13 | -0.05 | 15% | 11 Apr → | |
| ancient | 13–9 | -0.04 | 25% | 10 Apr → | |
| vertigo | 12–12 | -0.05 | 6% | 6 Apr → | |
| nuke | 9–13 | -0.02 | 20% | 6 Apr → | |
| dust2 | 11–13 | -0.06 | 6% | 3 Apr → | |
| mirage | 16–13 | 0.06 | 17% | 3 Apr → | |
| nuke | 13–8 | 0.11 | 15% | 3 Apr → | |
| nuke | 2–13 | -0.01 | 19% | 3 Apr → | |
| dust2 | 13–7 | -0.01 | 24% | 3 Apr → | |
| nuke | 13–5 | -0.00 | 6% | 2 Apr → | |
| dust2 | 9–13 | 0.04 | 17% | 2 Apr → | |
| dust2 | 13–6 | -0.00 | 13% | 2 Apr → | |
| overpass | 13–11 | -0.06 | 13% | 1 Apr → | |
| ancient | 13–5 | -0.06 | 50% | 1 Apr → | |
| inferno | 9–13 | -0.05 | 9% | 31 Mar → | |
| anubis | 4–13 | -0.06 | 9% | 29 Mar → | |
| mirage | 13–7 | -0.04 | 15% | 29 Mar → | |
| nuke | 13–9 | 0.03 | 31% | 29 Mar → | |
| dust2 | 13–5 | -0.06 | 21% | 29 Mar → | |
| mirage | 8–13 | -0.04 | 16% | 29 Mar → | |
| mirage | 13–3 | -0.01 | 14% | 29 Mar → | |
| mirage | 13–9 | -0.08 | 24% | 29 Mar → | |
| mirage | 13–4 | 0.04 | 13% | 29 Mar → | |
| dust2 | 13–6 | 0.01 | 20% | 29 Mar → | |
| dust2 | 7–13 | -0.03 | 15% | 29 Mar → | |
| nuke | 13–6 | 0.06 | 11% | 28 Mar → | |
| dust2 | 13–1 | 0.12 | 19% | 28 Mar → | |
| dust2 | 13–10 | 0.03 | 17% | 28 Mar → | |
| nuke | 13–8 | 0.00 | 18% | 28 Mar → | |
| mirage | 12–12 | -0.01 | 23% | 28 Mar → | |
| inferno | 12–12 | -0.01 | 17% | 27 Mar → | |
| nuke | 13–6 | 0.01 | 38% | 27 Mar → | |
| mirage | 12–12 | -0.02 | 29% | 26 Mar → | |
| inferno | 13–7 | 0.09 | 26% | 26 Mar → | |
| dust2 | 5–13 | 0.05 | 45% | 26 Mar → | |
| dust2 | 6–13 | -0.03 | 13% | 22 Mar → | |
| nuke | 2–9 | -0.15 | 13% | 22 Mar → | |
| inferno | 9–7 | -0.01 | 0% | 22 Mar → | |
| mirage | 10–13 | -0.04 | 18% | 21 Mar → | |
| dust2 | 13–8 | 0.00 | 12% | 21 Mar → | |
| ancient | 13–5 | -0.02 | 18% | 21 Mar → | |
| inferno | 13–8 | -0.04 | 12% | 21 Mar → | |
| inferno | 13–6 | 0.05 | 12% | 21 Mar → | |
| nuke | 8–13 | -0.06 | 18% | 21 Mar → | |
| overpass | 13–6 | 0.02 | 24% | 21 Mar → | |
| mirage | 13–11 | 0.07 | 14% | 20 Mar → | |
| nuke | 4–7 | -0.03 | 10% | 20 Mar → | |
| nuke | 0–13 | -0.04 | 17% | 19 Mar → | |
| office | 5–13 | 0.01 | 13% | 19 Mar → | |
| ancient | 13–10 | -0.01 | 10% | 19 Mar → | |
| ancient | 7–8 | -0.04 | 8% | 19 Mar → | |
| office | 13–11 | -0.01 | 19% | 19 Mar → | |
| dust2 | 10–13 | -0.04 | 20% | 19 Mar → | |
| office | 8–13 | -0.00 | 19% | 18 Mar → | |
| mirage | 13–4 | -0.01 | 19% | 18 Mar → | |
| office | 13–7 | 0.04 | 27% | 18 Mar → | |
| mirage | 3–10 | -0.01 | 13% | 18 Mar → | |
| overpass | 13–11 | -0.02 | 13% | 17 Mar → | |
| inferno | 2–13 | 0.02 | 13% | 17 Mar → | |
| dust2 | 13–7 | -0.06 | 7% | 13 Mar → | |
| dust2 | 14–16 | -0.04 | 21% | 13 Mar → | |
| office | 13–5 | 0.14 | 15% | 12 Mar → | |
| ancient | 12–12 | 0.04 | 19% | 9 Mar → | |
| anubis | 3–13 | -0.04 | 14% | 8 Mar → | |
| mirage | 13–9 | -0.01 | 12% | 8 Mar → | |
| anubis | 8–13 | -0.03 | 13% | 8 Mar → | |
| nuke | 9–1 | 0.28 | 25% | 8 Mar → | |
| overpass | 11–13 | -0.03 | 21% | 7 Mar → | |
| anubis | 13–5 | 0.05 | 15% | 7 Mar → | |
| train | 12–12 | 0.03 | 8% | 7 Mar → | |
| anubis | 11–13 | 0.13 | 13% | 6 Mar → | |
| nuke | 13–10 | 0.04 | 21% | 6 Mar → | |
| nuke | 13–9 | 0.05 | 24% | 5 Mar → | |
| dust2 | 13–1 | 0.06 | 32% | 5 Mar → | |
| mirage | 13–10 | -0.00 | 13% | 4 Mar → | |
| inferno | 13–11 | -0.03 | 16% | 4 Mar → | |
| mirage | 7–13 | -0.00 | 37% | 3 Mar → | |
| dust2 | 9–13 | -0.05 | 18% | 3 Mar → | |
| mirage | 11–13 | -0.02 | 26% | 2 Mar → | |
| train | 13–8 | 0.07 | 23% | 1 Mar → | |
| train | 10–7 | 0.02 | 29% | 1 Mar → | |
| mirage | 5–13 | 0.01 | 20% | 1 Mar → | |
| mirage | 8–13 | 0.03 | 23% | 1 Mar → | |
| mirage | 12–12 | 0.01 | 14% | 1 Mar → | |
| overpass | 13–7 | 0.03 | 21% | 28 Feb → | |
| vertigo | 13–10 | 0.04 | 18% | 28 Feb → | |
| train | 3–13 | -0.08 | 23% | 28 Feb → | |
| mirage | 1–13 | -0.00 | 11% | 28 Feb → | |
| dust2 | 7–13 | 0.01 | 17% | 28 Feb → | |
| mirage | 10–13 | -0.01 | 24% | 28 Feb → |
Match data via Leetify.