AppleJews — CS2 Stats
76561198005075591[U:1:44809863]
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 | 27.0% | 44.1% | 47.2% | 20.3% short |
| Shot accuracy | 19.7% | 11.4% | 12.7% | above |
| Kill/death ratio | 0.99 | 1.03 | 1.09 | 0.10 short |
| Match win rate | 44.0% | 45.2% | 46.6% | 2.6% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. 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 · -0.03 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 58% 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. 734ms 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 2.7/10 (Learning), 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 |
|---|---|---|---|---|---|
 mirage | B | 18 | 9–9 | 50% | -0.05 |
 anubis | A | 10 | 6–4 | 60% | -0.06 |
 ancient | A | 10 | 6–4 | 60% | -0.06 |
 dust2 | B | 10 | 5–5 | 50% | -0.03 |
 vertigo | S | 9 | 6–3 | 67% | -0.05 |
 nuke | B | 8 | 4–4 | 50% | -0.07 |
 inferno | A | 8 | 5–3 | 63% | -0.06 |
| palais | C | 7 | 3–4 | 43% | -0.07 |
 train | D | 5 | 1–4 | 20% | -0.02 |
 cache | — | 3 | 2–1 | 67% | -0.05 |
| brewery | — | 3 | 2–1 | 67% | -0.06 |
| dogtown | — | 2 | 0–2 | 0% | -0.16 |
| basalt | — | 2 | 0–2 | 0% | -0.09 |
 overpass | — | 1 | 0–1 | 0% | -0.12 |
| jura | — | 1 | 1–0 | 100% | -0.07 |
| grail | — | 1 | 0–1 | 0% | -0.02 |
| agency | — | 1 | 1–0 | 100% | -0.05 |
| whistle | — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
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
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 10.0773% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 734.3133ms — above the 700ms 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 0.0734 — 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 | |
|---|---|---|---|---|---|
| anubis | 9–13 | -0.11 | 8% | 12 Aug → | |
| mirage | 8–13 | -0.07 | 0% | 11 Aug → | |
| ancient | 13–7 | -0.10 | 9% | 10 Aug → | |
| cache | 5–13 | -0.10 | 9% | 10 Aug → | |
| nuke | 8–13 | -0.10 | 10% | 10 Aug → | |
| mirage | 8–13 | -0.09 | 7% | 10 Aug → | |
| cache | 13–9 | -0.03 | 9% | 10 Aug → | |
| anubis | 13–5 | -0.13 | 9% | 9 Aug → | |
| ancient | 13–9 | -0.05 | 2% | 9 Aug → | |
| cache | 13–11 | -0.03 | 23% | 9 Aug → | |
| dust2 | 13–16 | -0.11 | 7% | 9 Aug → | |
| nuke | 15–15 | -0.10 | 8% | 8 Aug → | |
| anubis | 13–7 | -0.08 | 10% | 8 Aug → | |
| inferno | 13–9 | -0.09 | 14% | 8 Aug → | |
| mirage | 13–5 | 0.08 | 33% | 14 Jun → | |
| nuke | 13–10 | -0.02 | 18% | 14 Jun → | |
| ancient | 9–13 | -0.05 | 4% | 10 Jun → | |
| ancient | 13–5 | -0.12 | 5% | 10 Jun → | |
| inferno | 13–7 | -0.01 | 9% | 10 Jun → | |
| nuke | 13–9 | -0.03 | 8% | 8 Jun → | |
| dust2 | 15–15 | -0.01 | 9% | 8 Jun → | |
| train | 9–13 | -0.02 | 16% | 27 May → | |
| dogtown | 7–9 | -0.10 | 21% | 27 May → | |
| overpass | 4–9 | -0.12 | 9% | 25 May → | |
| brewery | 8–8 | -0.09 | 13% | 23 May → | |
| brewery | 9–5 | -0.01 | 23% | 21 May → | |
| dust2 | 2–13 | -0.03 | 10% | 18 May → | |
| anubis | 11–13 | -0.03 | 13% | 18 May → | |
| mirage | 14–16 | -0.01 | 9% | 11 May → | |
| anubis | 10–13 | -0.04 | 12% | 11 May → | |
| jura | 13–9 | -0.07 | 9% | 8 May → | |
| grail | 2–13 | -0.02 | 13% | 8 May → | |
| agency | 13–6 | -0.05 | 12% | 8 May → | |
| brewery | 9–6 | -0.07 | 28% | 8 May → | |
| dogtown | 4–9 | -0.22 | 10% | 8 May → | |
| mirage | 13–0 | -0.10 | 0% | 2 May → | |
| ancient | 13–1 | -0.04 | 6% | 2 May → | |
| train | 8–13 | -0.10 | 10% | 1 May → | |
| train | 13–8 | 0.03 | 19% | 1 May → | |
| mirage | 9–4 | 0.02 | 22% | 1 May → | |
| anubis | 6–13 | -0.04 | 15% | 29 Apr → | |
| vertigo | 13–3 | 0.01 | 7% | 28 Apr → | |
| train | 12–12 | 0.05 | 11% | 28 Apr → | |
| mirage | 8–13 | -0.06 | 8% | 25 Apr → | |
| anubis | 13–11 | -0.04 | 11% | 24 Apr → | |
| mirage | 9–13 | -0.09 | 11% | 19 Apr → | |
| anubis | 13–11 | -0.03 | 7% | 19 Apr → | |
| inferno | 13–5 | -0.02 | 13% | 19 Apr → | |
| dust2 | 13–8 | -0.04 | 8% | 19 Apr → | |
| nuke | 13–4 | 0.02 | 21% | 18 Apr → | |
| mirage | 13–10 | -0.10 | 3% | 18 Apr → | |
| inferno | 13–8 | -0.10 | 4% | 18 Apr → | |
| ancient | 7–13 | -0.07 | 38% | 18 Apr → | |
| dust2 | 13–5 | -0.02 | 25% | 18 Apr → | |
| train | 12–12 | -0.05 | 8% | 16 Apr → | |
| basalt | 7–13 | -0.10 | 27% | 16 Apr → | |
| palais | 8–8 | -0.10 | 9% | 14 Apr → | |
| vertigo | 9–7 | -0.03 | 10% | 14 Apr → | |
| palais | 9–5 | -0.05 | 50% | 14 Apr → | |
| whistle | 7–9 | -0.11 | 10% | 14 Apr → | |
| dust2 | 13–11 | -0.03 | 20% | 14 Apr → | |
| palais | 7–9 | -0.07 | 7% | 14 Apr → | |
| palais | 9–4 | -0.12 | 5% | 13 Apr → | |
| vertigo | 9–1 | 0.08 | 24% | 13 Apr → | |
| vertigo | 4–9 | -0.28 | 6% | 10 Apr → | |
| palais | 9–6 | -0.06 | 23% | 10 Apr → | |
| palais | 6–9 | 0.08 | 20% | 10 Apr → | |
| inferno | 0–9 | -0.23 | 13% | 10 Apr → | |
| vertigo | 9–6 | -0.01 | 12% | 10 Apr → | |
| nuke | 5–9 | -0.08 | 18% | 10 Apr → | |
| ancient | 4–13 | -0.09 | 5% | 7 Apr → | |
| anubis | 13–11 | -0.04 | 13% | 7 Apr → | |
| mirage | 13–11 | -0.08 | 12% | 7 Apr → | |
| anubis | 13–9 | -0.02 | 5% | 7 Apr → | |
| dust2 | 0–13 | -0.05 | 24% | 7 Apr → | |
| inferno | 7–9 | -0.02 | 18% | 2 Apr → | |
| mirage | 13–11 | -0.08 | 16% | 30 Mar → | |
| nuke | 13–9 | -0.10 | 13% | 22 Mar → | |
| vertigo | 8–13 | -0.01 | 11% | 22 Mar → | |
| basalt | 2–5 | -0.07 | 0% | 18 Mar → | |
| mirage | 13–11 | -0.00 | 9% | 13 Mar → | |
| mirage | 7–13 | -0.06 | 10% | 13 Mar → | |
| inferno | 13–9 | -0.01 | 21% | 10 Mar → | |
| dust2 | 13–4 | 0.02 | 31% | 10 Mar → | |
| vertigo | 7–9 | -0.15 | 12% | 9 Mar → | |
| ancient | 13–11 | -0.06 | 18% | 6 Mar → | |
| dust2 | 13–1 | -0.05 | 8% | 5 Mar → | |
| dust2 | 6–13 | 0.00 | 11% | 5 Mar → | |
| mirage | 9–13 | 0.01 | 17% | 3 Mar → | |
| inferno | 10–13 | -0.02 | 9% | 3 Mar → | |
| vertigo | 9–1 | -0.01 | 100% | 3 Mar → | |
| vertigo | 9–5 | -0.08 | 17% | 3 Mar → | |
| nuke | 7–9 | -0.18 | 5% | 3 Mar → | |
| ancient | 5–13 | -0.05 | 15% | 2 Mar → | |
| palais | 4–9 | -0.14 | 20% | 2 Mar → | |
| mirage | 13–8 | -0.04 | 26% | 28 Feb → | |
| mirage | 6–13 | -0.07 | 7% | 28 Feb → | |
| ancient | 13–7 | 0.06 | 14% | 28 Feb → | |
| mirage | 13–11 | -0.08 | 7% | 27 Feb → | |
| mirage | 6–13 | -0.07 | 7% | 27 Feb → |
Match data via Leetify.
