frootloop — CS2 Stats
US76561198413805073[U:1:453539345]Steam profile ↗✓ 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 | 30.8% | 41.4% | 44.2% | 13.4% short |
| Shot accuracy | 8.9% | 9.0% | 11.6% | 2.6% short |
| Kill/death ratio | 0.57 | 0.97 | 1.03 | 0.46 short |
| Match win rate | 37.3% | 43.7% | 45.2% | 7.9% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Kill/death ratio. 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 · -0.03 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 52% 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. 717ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.1/10 (Learning), 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 |
|---|---|---|---|---|---|
 nuke | C | 24 | 9–15 | 38% | -0.04 |
 mirage | B | 21 | 10–11 | 48% | -0.04 |
 dust2 | B | 20 | 9–11 | 45% | -0.05 |
 cache | C | 17 | 6–11 | 35% | -0.05 |
 train | D | 5 | 0–5 | 0% | -0.06 |
 inferno | — | 4 | 3–1 | 75% | -0.04 |
 vertigo | — | 3 | 2–1 | 67% | -0.04 |
 ancient | — | 2 | 0–2 | 0% | -0.17 |
| office | — | 2 | 0–2 | 0% | -0.06 |
 overpass | — | 1 | 1–0 | 100% | -0.04 |
 anubis | — | 1 | 1–0 | 100% | -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.
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 12.9211° — above the 12° mark we flag
- 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 14.6398% — 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 716.5193ms — above the 700ms 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 8–13 | -0.11 | 15% | 27 Aug → | |
| dust2 | 13–5 | -0.08 | 23% | 27 Aug → | |
| cache | 11–13 | -0.10 | 15% | 26 Aug → | |
| nuke | 13–7 | -0.05 | 4% | 26 Aug → | |
| mirage | 13–11 | -0.02 | 7% | 26 Aug → | |
| cache | 11–13 | -0.06 | 10% | 26 Aug → | |
| dust2 | 11–13 | -0.10 | 33% | 21 Aug → | |
| dust2 | 13–7 | -0.07 | 20% | 21 Aug → | |
| vertigo | 1–12 | -0.13 | 0% | 19 Aug → | |
| nuke | 13–6 | -0.08 | 2% | 19 Aug → | |
| overpass | 13–5 | -0.04 | 29% | 19 Aug → | |
| mirage | 13–9 | -0.05 | 23% | 18 Aug → | |
| cache | 13–9 | -0.05 | 21% | 18 Aug → | |
| mirage | 11–13 | -0.06 | 27% | 15 Aug → | |
| nuke | 1–13 | -0.03 | 12% | 15 Aug → | |
| train | 11–13 | -0.02 | 16% | 13 Aug → | |
| mirage | 13–11 | -0.08 | 9% | 12 Aug → | |
| dust2 | 6–13 | -0.10 | 4% | 12 Aug → | |
| nuke | 13–5 | -0.01 | 18% | 10 Aug → | |
| cache | 12–12 | -0.11 | 0% | 8 Aug → | |
| vertigo | 13–3 | -0.06 | 33% | 8 Aug → | |
| mirage | 13–10 | -0.06 | 11% | 8 Aug → | |
| mirage | 13–3 | 0.03 | 17% | 7 Aug → | |
| dust2 | 8–13 | -0.07 | 15% | 7 Aug → | |
| mirage | 8–13 | -0.06 | 11% | 6 Aug → | |
| cache | 13–9 | -0.05 | 11% | 3 Aug → | |
| inferno | 7–0 | -0.00 | 0% | 3 Aug → | |
| mirage | 12–12 | -0.08 | 6% | 1 Aug → | |
| vertigo | 13–6 | 0.06 | 10% | 1 Aug → | |
| train | 11–13 | -0.09 | 18% | 1 Aug → | |
| dust2 | 4–13 | -0.05 | 7% | 29 Jul → | |
| nuke | 12–1 | -0.02 | 11% | 29 Jul → | |
| ancient | 2–13 | -0.25 | 0% | 28 Jul → | |
| nuke | 5–13 | 0.01 | 27% | 28 Jul → | |
| mirage | 13–11 | -0.04 | 10% | 26 Jul → | |
| dust2 | 13–11 | -0.02 | 23% | 26 Jul → | |
| dust2 | 13–8 | -0.09 | 13% | 25 Jul → | |
| cache | 5–13 | -0.06 | 20% | 24 Jul → | |
| office | 9–13 | -0.11 | 5% | 18 Jul → | |
| nuke | 13–6 | -0.11 | 0% | 18 Jul → | |
| mirage | 5–7 | 0.03 | 22% | 14 Jul → | |
| cache | 6–13 | -0.09 | 0% | 11 Jul → | |
| train | 12–12 | -0.03 | 18% | 11 Jul → | |
| nuke | 11–13 | -0.04 | 11% | 10 Jul → | |
| cache | 7–13 | -0.05 | 12% | 4 Jul → | |
| nuke | 13–3 | -0.04 | 10% | 4 Jul → | |
| mirage | 1–13 | -0.05 | 10% | 1 Jul → | |
| nuke | 13–9 | 0.06 | 19% | 1 Jul → | |
| office | 8–13 | -0.01 | 33% | 26 Jun → | |
| mirage | 2–13 | -0.01 | 6% | 26 Jun → | |
| inferno | 13–4 | -0.04 | 8% | 23 Jun → | |
| anubis | 13–8 | -0.11 | 17% | 20 Jun → | |
| train | 4–13 | -0.04 | 50% | 20 Jun → | |
| nuke | 9–13 | -0.04 | 27% | 1 Jun → | |
| cache | 8–13 | -0.07 | 30% | 30 May → | |
| train | 10–13 | -0.14 | 0% | 29 May → | |
| cache | 13–3 | -0.04 | 39% | 29 May → | |
| dust2 | 13–4 | 0.04 | 16% | 29 May → | |
| dust2 | 13–9 | 0.02 | 14% | 28 May → | |
| nuke | 14–16 | -0.06 | 21% | 28 May → | |
| mirage | 13–10 | -0.05 | 7% | 28 May → | |
| cache | 5–3 | -0.08 | 17% | 27 May → | |
| inferno | 13–6 | -0.05 | 21% | 26 May → | |
| mirage | 3–13 | 0.02 | 15% | 26 May → | |
| ancient | 3–13 | -0.09 | 5% | 26 May → | |
| dust2 | 12–12 | 0.13 | 28% | 25 May → | |
| nuke | 6–13 | -0.04 | 10% | 24 May → | |
| nuke | 4–13 | -0.01 | 10% | 24 May → | |
| nuke | 2–13 | -0.04 | 20% | 22 May → | |
| cache | 9–13 | -0.04 | 16% | 22 May → | |
| dust2 | 4–13 | -0.06 | 25% | 22 May → | |
| nuke | 6–13 | 0.04 | 0% | 21 May → | |
| nuke | 6–13 | -0.03 | 8% | 21 May → | |
| mirage | 12–12 | -0.11 | 0% | 20 May → | |
| inferno | 4–13 | -0.07 | 13% | 20 May → | |
| mirage | 13–7 | -0.06 | 21% | 19 May → | |
| dust2 | 11–13 | -0.09 | 8% | 19 May → | |
| mirage | 13–16 | -0.05 | 6% | 18 May → | |
| mirage | 1–13 | -0.02 | 14% | 18 May → | |
| nuke | 12–12 | -0.08 | 0% | 18 May → | |
| dust2 | 7–13 | -0.09 | 8% | 18 May → | |
| dust2 | 13–11 | -0.00 | 11% | 17 May → | |
| dust2 | 13–10 | -0.05 | 14% | 17 May → | |
| nuke | 6–13 | -0.05 | 29% | 17 May → | |
| cache | 7–13 | -0.12 | 7% | 17 May → | |
| cache | 2–0 | 0.14 | 43% | 17 May → | |
| nuke | 8–13 | -0.08 | 8% | 13 May → | |
| dust2 | 4–13 | -0.09 | 21% | 13 May → | |
| nuke | 13–9 | -0.01 | 7% | 12 May → | |
| nuke | 11–13 | -0.08 | 3% | 11 May → | |
| cache | 8–13 | -0.05 | 13% | 11 May → | |
| mirage | 7–13 | -0.05 | 12% | 9 May → | |
| cache | 13–5 | -0.04 | 13% | 9 May → | |
| nuke | 8–13 | -0.08 | 3% | 9 May → | |
| dust2 | 10–13 | -0.04 | 17% | 9 May → | |
| mirage | 13–4 | -0.00 | 12% | 7 May → | |
| mirage | 13–3 | -0.13 | 4% | 7 May → | |
| nuke | 13–3 | -0.07 | 0% | 7 May → | |
| dust2 | 13–5 | -0.04 | 14% | 6 May → | |
| cache | 12–12 | -0.08 | 31% | 6 May → |
Match data via Leetify.