CrokettenCalle69 — CS2 Stats
76561199750341304[U:1:1790075576]✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 37.6% | 41.4% | 44.2% | 6.6% short |
| Shot accuracy | 0.0% | 9.0% | 11.6% | 11.6% short |
| Kill/death ratio | 0.74 | 0.97 | 1.03 | 0.29 short |
| Match win rate | 40.4% | 43.7% | 45.2% | 4.8% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Purple 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: +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
T-side openings. Opening success drops from 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 610ms 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 4.3/10 (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 |
|---|---|---|---|---|---|
 cache | B | 24 | 11–13 | 46% | -0.04 |
 ancient | C | 17 | 6–11 | 35% | -0.01 |
 vertigo | B | 17 | 9–8 | 53% | -0.02 |
 anubis | D | 12 | 4–8 | 33% | -0.02 |
 train | B | 8 | 4–4 | 50% | -0.01 |
| fachwerk | D | 6 | 2–4 | 33% | 0.00 |
 nuke | C | 5 | 2–3 | 40% | -0.03 |
 dust2 | — | 4 | 3–1 | 75% | -0.04 |
| shelter | — | 2 | 0–2 | 0% | -0.01 |
 inferno | — | 2 | 0–2 | 0% | -0.01 |
| debris | — | 1 | 1–0 | 100% | 0.08 |
| boulder | — | 1 | 1–0 | 100% | -0.02 |
 overpass | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 12). 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.
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 12.1726% — 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 29.527% — 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 12–12 | -0.03 | 2% | 23 Aug → | |
| nuke | 5–3 | -0.13 | 0% | 23 Aug → | |
| cache | 13–6 | -0.04 | 17% | 22 Aug → | |
| anubis | 13–4 | 0.01 | 6% | 4 Aug → | |
| dust2 | 13–11 | -0.04 | 5% | 4 Aug → | |
| ancient | 11–13 | 0.00 | 12% | 4 Aug → | |
| anubis | 13–9 | -0.03 | 18% | 2 Aug → | |
| cache | 13–11 | 0.00 | 17% | 2 Aug → | |
| cache | 11–13 | -0.10 | 6% | 2 Aug → | |
| cache | 11–13 | 0.00 | 8% | 2 Aug → | |
| cache | 13–10 | -0.05 | 13% | 1 Aug → | |
| dust2 | 13–11 | -0.05 | 13% | 1 Aug → | |
| nuke | 7–13 | -0.05 | 17% | 1 Aug → | |
| cache | 1–13 | -0.01 | 14% | 31 Jul → | |
| ancient | 13–7 | 0.03 | 7% | 31 Jul → | |
| anubis | 13–4 | -0.04 | 14% | 31 Jul → | |
| ancient | 11–13 | 0.04 | 12% | 30 Jul → | |
| dust2 | 13–6 | 0.00 | 16% | 29 Jul → | |
| anubis | 8–13 | -0.02 | 13% | 29 Jul → | |
| ancient | 13–8 | -0.01 | 11% | 27 Jul → | |
| cache | 13–1 | 0.04 | 12% | 27 Jul → | |
| cache | 13–9 | -0.04 | 16% | 25 Jul → | |
| ancient | 13–4 | 0.01 | 25% | 24 Jul → | |
| anubis | 9–13 | -0.02 | 9% | 24 Jul → | |
| train | 8–13 | -0.03 | 13% | 23 Jul → | |
| vertigo | 4–13 | -0.03 | 12% | 21 Jul → | |
| cache | 3–13 | -0.06 | 12% | 21 Jul → | |
| train | 12–12 | -0.05 | 16% | 21 Jul → | |
| fachwerk | 4–13 | -0.10 | 9% | 20 Jul → | |
| ancient | 10–13 | -0.01 | 18% | 20 Jul → | |
| cache | 13–5 | -0.05 | 6% | 19 Jul → | |
| fachwerk | 12–12 | 0.01 | 12% | 17 Jul → | |
| fachwerk | 6–13 | 0.01 | 9% | 16 Jul → | |
| debris | 9–7 | 0.08 | 14% | 15 Jul → | |
| anubis | 4–13 | -0.03 | 7% | 14 Jul → | |
| cache | 13–10 | -0.02 | 14% | 10 Jul → | |
| anubis | 13–1 | -0.01 | 11% | 10 Jul → | |
| fachwerk | 13–11 | 0.08 | 14% | 10 Jul → | |
| fachwerk | 13–8 | 0.04 | 8% | 9 Jul → | |
| shelter | 7–13 | -0.02 | 9% | 9 Jul → | |
| shelter | 7–13 | 0.01 | 16% | 9 Jul → | |
| fachwerk | 9–13 | -0.01 | 10% | 9 Jul → | |
| boulder | 13–7 | -0.02 | 9% | 9 Jul → | |
| vertigo | 2–13 | -0.10 | 19% | 7 Jul → | |
| ancient | 4–13 | -0.05 | 7% | 7 Jul → | |
| anubis | 10–13 | -0.03 | 13% | 7 Jul → | |
| vertigo | 13–8 | -0.02 | 16% | 4 Jul → | |
| cache | 13–7 | -0.04 | 12% | 4 Jul → | |
| ancient | 13–0 | 0.08 | 10% | 4 Jul → | |
| cache | 9–13 | -0.02 | 5% | 1 Jul → | |
| cache | 13–10 | -0.06 | 12% | 1 Jul → | |
| train | 4–13 | 0.05 | 17% | 29 Jun → | |
| dust2 | 10–13 | -0.05 | 11% | 29 Jun → | |
| cache | 1–13 | -0.08 | 13% | 28 Jun → | |
| cache | 4–13 | -0.05 | 12% | 25 Jun → | |
| vertigo | 13–7 | -0.08 | 6% | 25 Jun → | |
| ancient | 10–13 | -0.02 | 6% | 25 Jun → | |
| ancient | 11–13 | -0.04 | 15% | 19 Jun → | |
| train | 13–2 | 0.01 | 7% | 17 Jun → | |
| cache | 11–13 | -0.06 | 9% | 15 Jun → | |
| ancient | 4–13 | -0.05 | 6% | 15 Jun → | |
| vertigo | 4–13 | -0.06 | 14% | 15 Jun → | |
| cache | 7–13 | -0.05 | 8% | 14 Jun → | |
| train | 13–7 | -0.04 | 16% | 14 Jun → | |
| ancient | 13–5 | -0.01 | 17% | 14 Jun → | |
| vertigo | 13–6 | -0.08 | 20% | 14 Jun → | |
| cache | 13–11 | -0.03 | 26% | 14 Jun → | |
| overpass | 13–9 | -0.04 | 10% | 14 Jun → | |
| cache | 8–13 | -0.03 | 15% | 13 Jun → | |
| ancient | 13–5 | 0.02 | 13% | 11 Jun → | |
| vertigo | 11–13 | -0.00 | 13% | 10 Jun → | |
| anubis | 3–13 | -0.05 | 11% | 10 Jun → | |
| vertigo | 3–13 | 0.04 | 18% | 10 Jun → | |
| anubis | 14–16 | -0.04 | 16% | 9 Jun → | |
| nuke | 13–7 | 0.09 | 12% | 9 Jun → | |
| cache | 6–13 | -0.08 | 16% | 8 Jun → | |
| ancient | 8–13 | -0.06 | 3% | 8 Jun → | |
| cache | 1–13 | -0.05 | 10% | 8 Jun → | |
| vertigo | 1–9 | 0.04 | 21% | 8 Jun → | |
| vertigo | 13–5 | 0.05 | 13% | 7 Jun → | |
| ancient | 10–13 | 0.00 | 10% | 7 Jun → | |
| train | 13–1 | 0.09 | 15% | 7 Jun → | |
| vertigo | 3–13 | -0.11 | 10% | 6 Jun → | |
| nuke | 3–13 | -0.01 | 4% | 6 Jun → | |
| inferno | 12–12 | 0.00 | 7% | 6 Jun → | |
| anubis | 12–12 | 0.02 | 8% | 6 Jun → | |
| vertigo | 13–6 | -0.05 | 8% | 6 Jun → | |
| vertigo | 13–6 | -0.02 | 8% | 5 Jun → | |
| train | 8–13 | -0.09 | 15% | 5 Jun → | |
| cache | 9–13 | -0.06 | 3% | 5 Jun → | |
| ancient | 9–13 | -0.01 | 5% | 5 Jun → | |
| anubis | 12–12 | 0.03 | 3% | 5 Jun → | |
| vertigo | 5–13 | -0.05 | 8% | 5 Jun → | |
| train | 13–3 | 0.01 | 21% | 4 Jun → | |
| vertigo | 13–11 | 0.03 | 11% | 4 Jun → | |
| inferno | 3–13 | -0.03 | 16% | 3 Jun → | |
| ancient | 8–13 | -0.05 | 12% | 3 Jun → | |
| vertigo | 13–10 | 0.05 | 6% | 3 Jun → | |
| cache | 13–6 | -0.05 | 10% | 2 Jun → | |
| vertigo | 13–4 | -0.00 | 11% | 1 Jun → |
Match data via Leetify.
