Crankn — CS2 Stats
76561199247028534[U:1:1286762806]
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | vs Light Blue band |
|---|---|---|---|
| Headshot rate | 35.6% | 40.1% | 4.4% short |
| Shot accuracy | 1.7% | 7.6% | 5.8% short |
| Kill/death ratio | 0.76 | 0.92 | 0.16 short |
| Match win rate | 35.6% | 42.2% | 6.6% short |
This profile sits below the typical Light Blue band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 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 Twistzz 83% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 52% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 651ms 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 (×0.90 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 |
|---|---|---|---|---|---|
| S | 22 | 15–7 | 68% | 0.01 | |
| B | 17 | 8–9 | 47% | -0.00 | |
| A | 17 | 10–7 | 59% | 0.03 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| D | 9 | 2–7 | 22% | -0.02 | |
| D | 9 | 1–8 | 11% | -0.00 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient 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 8.2821% — below the 15% 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 0.4867 — below the 0.5 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 28.7409% — 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.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.04 | 6% | 23 Aug → | ||
| 13–11 | 0.00 | 9% | 22 Aug → | ||
| 8–13 | -0.06 | 6% | 21 Aug → | ||
| 13–5 | -0.04 | 8% | 18 Aug → | ||
| 13–9 | 0.08 | 15% | 18 Aug → | ||
| 6–13 | -0.03 | 12% | 17 Aug → | ||
| 2–13 | -0.04 | 15% | 17 Aug → | ||
| 13–6 | -0.03 | 3% | 16 Aug → | ||
| 10–0 | 0.05 | 9% | 16 Aug → | ||
| 2–13 | -0.05 | 6% | 15 Aug → | ||
| 16–14 | -0.00 | 5% | 14 Aug → | ||
| 9–13 | -0.09 | 2% | 13 Aug → | ||
| 13–4 | 0.00 | 5% | 13 Aug → | ||
| 10–13 | 0.01 | 5% | 13 Aug → | ||
| 9–13 | 0.05 | 8% | 13 Aug → | ||
| 7–13 | -0.03 | 5% | 12 Aug → | ||
| 13–10 | 0.06 | 4% | 12 Aug → | ||
| 9–13 | -0.08 | 5% | 12 Aug → | ||
| 13–8 | 0.03 | 16% | 12 Aug → | ||
| 3–13 | -0.03 | 17% | 12 Aug → | ||
| 13–7 | 0.02 | 12% | 12 Aug → | ||
| 2–13 | -0.06 | 16% | 12 Aug → | ||
| 11–13 | 0.06 | 3% | 12 Aug → | ||
| 13–7 | 0.05 | 13% | 10 Aug → | ||
| 13–9 | 0.10 | 9% | 10 Aug → | ||
| 13–8 | 0.08 | 11% | 9 Aug → | ||
| 13–10 | 0.12 | 4% | 9 Aug → | ||
| 9–13 | -0.01 | 9% | 9 Aug → | ||
| 13–3 | -0.02 | 17% | 9 Aug → | ||
| 8–13 | -0.03 | 4% | 9 Aug → | ||
| 13–16 | 0.00 | 8% | 9 Aug → | ||
| 16–14 | 0.00 | 6% | 9 Aug → | ||
| 13–7 | -0.00 | 9% | 9 Aug → | ||
| 13–11 | -0.02 | 14% | 9 Aug → | ||
| 5–13 | -0.02 | 9% | 9 Aug → | ||
| 13–3 | 0.05 | 2% | 9 Aug → | ||
| 13–3 | 0.06 | 6% | 8 Aug → | ||
| 11–13 | -0.02 | 2% | 8 Aug → | ||
| 13–10 | 0.01 | 12% | 8 Aug → | ||
| 10–13 | 0.07 | 5% | 8 Aug → | ||
| 9–13 | -0.01 | 6% | 8 Aug → | ||
| 13–11 | 0.07 | 4% | 8 Aug → | ||
| 10–13 | 0.05 | 7% | 8 Aug → | ||
| 16–13 | 0.09 | 7% | 8 Aug → | ||
| 13–10 | -0.02 | 6% | 6 Aug → | ||
| 13–8 | -0.04 | 8% | 4 Aug → | ||
| 12–12 | 0.04 | 3% | 4 Aug → | ||
| 13–3 | -0.02 | 3% | 4 Aug → | ||
| 16–13 | 0.02 | 16% | 4 Aug → | ||
| 8–13 | -0.04 | 3% | 4 Aug → | ||
| 13–11 | -0.06 | 6% | 30 Jul → | ||
| 8–13 | -0.00 | 13% | 30 Jul → | ||
| 13–6 | 0.06 | 5% | 30 Jul → | ||
| 9–13 | -0.04 | 7% | 29 Jul → | ||
| 2–13 | -0.02 | 9% | 29 Jul → | ||
| 13–3 | 0.08 | 9% | 27 Jul → | ||
| 13–7 | 0.02 | 6% | 27 Jul → | ||
| 9–13 | -0.00 | 8% | 26 Jul → | ||
| 7–13 | -0.05 | 12% | 26 Jul → | ||
| 13–3 | 0.04 | 5% | 26 Jul → | ||
| 8–13 | -0.10 | 6% | 26 Jul → | ||
| 2–1 | -0.04 | 0% | 26 Jul → | ||
| 13–6 | 0.12 | 12% | 26 Jul → | ||
| 10–13 | 0.14 | 7% | 26 Jul → | ||
| 13–2 | -0.03 | 10% | 26 Jul → | ||
| 9–13 | -0.06 | 7% | 25 Jul → | ||
| 9–13 | -0.05 | 4% | 25 Jul → | ||
| 12–3 | 0.06 | 10% | 25 Jul → | ||
| 11–13 | -0.05 | 12% | 25 Jul → | ||
| 6–13 | 0.13 | 16% | 25 Jul → | ||
| 13–9 | 0.05 | 12% | 25 Jul → | ||
| 8–13 | -0.02 | 7% | 25 Jul → | ||
| 13–7 | 0.05 | 6% | 25 Jul → | ||
| 7–13 | 0.04 | 10% | 25 Jul → | ||
| 13–11 | 0.03 | 11% | 24 Jul → | ||
| 15–15 | 0.08 | 7% | 24 Jul → | ||
| 13–6 | 0.05 | 7% | 24 Jul → | ||
| 6–13 | -0.06 | 5% | 24 Jul → | ||
| 5–13 | -0.04 | 13% | 24 Jul → | ||
| 13–1 | 0.06 | 7% | 24 Jul → | ||
| 13–16 | 0.04 | 6% | 24 Jul → | ||
| 13–5 | 0.01 | 20% | 24 Jul → | ||
| 13–7 | 0.05 | 13% | 24 Jul → | ||
| 16–14 | 0.03 | 11% | 24 Jul → | ||
| 13–8 | 0.04 | 5% | 24 Jul → | ||
| 13–16 | 0.01 | 10% | 22 Jul → | ||
| 5–13 | -0.05 | 6% | 21 Jul → | ||
| 9–13 | -0.02 | 6% | 21 Jul → | ||
| 13–10 | -0.01 | 6% | 16 Jul → | ||
| 9–13 | 0.09 | 13% | 16 Jul → | ||
| 7–13 | -0.04 | 6% | 16 Jul → | ||
| 10–12 | -0.01 | 9% | 16 Jul → | ||
| 8–13 | 0.00 | 10% | 16 Jul → | ||
| 13–16 | -0.02 | 6% | 16 Jul → | ||
| 13–10 | -0.03 | 9% | 15 Jul → | ||
| 9–13 | -0.06 | 4% | 13 Jul → | ||
| 13–10 | -0.02 | 7% | 12 Jul → | ||
| 15–15 | -0.09 | 7% | 12 Jul → | ||
| 4–13 | -0.05 | 10% | 11 Jul → | ||
| 8–13 | -0.03 | 12% | 11 Jul → |
Match data via Leetify.