[F.C.F] - Killer ;) — CS2 Stats
76561198928852032[U:1:968586304]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 31.3% | 48.1% | 16.8% short |
| Shot accuracy | 10.6% | 12.9% | 2.2% short |
| Kill/death ratio | 1.07 | 1.08 | meets |
| Match win rate | 24.2% | 46.5% | 22.3% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Match win 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: +30pp 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 NiKo 65% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 58% 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 2.8/10 (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 |
|---|---|---|---|---|---|
| A | 24 | 15–9 | 63% | 0.00 | |
| B | 23 | 12–11 | 52% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.00 | |
| C | 11 | 4–7 | 36% | 0.02 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| D | 9 | 2–7 | 22% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| — | 3 | 3–0 | 100% | -0.00 | |
| — | 1 | 0–1 | 0% | 0.01 |
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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1 | 0% | 0.71 | 12.0 |
| Cache | 1 | 100% | 0.56 | 10.0 |
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 15.4436° — 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 9.8772% — 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 0.4377 — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | -0.02 | 13% | 21 Aug → | ||
| 16–14 | -0.03 | 15% | 20 Aug → | ||
| 13–6 | -0.04 | 10% | 20 Aug → | ||
| 2–13 | -0.09 | 7% | 15 Aug → | ||
| 4–13 | -0.04 | 10% | 14 Aug → | ||
| 9–13 | -0.03 | 7% | 14 Aug → | ||
| 13–5 | 0.08 | 9% | 12 Aug → | ||
| 13–4 | 0.09 | 10% | 12 Aug → | ||
| 13–5 | 0.00 | 5% | 12 Aug → | ||
| 13–11 | -0.06 | 6% | 10 Aug → | ||
| 5–13 | -0.11 | 14% | 10 Aug → | ||
| 9–13 | 0.06 | 17% | 10 Aug → | ||
| 13–16 | -0.07 | 7% | 9 Aug → | ||
| 13–8 | -0.00 | 10% | 9 Aug → | ||
| 5–13 | -0.07 | 11% | 8 Aug → | ||
| 2–13 | 0.02 | 18% | 8 Aug → | ||
| 10–13 | -0.01 | 7% | 8 Aug → | ||
| 13–5 | -0.01 | 16% | 8 Aug → | ||
| 9–13 | -0.03 | 5% | 8 Aug → | ||
| 13–3 | 0.02 | 7% | 8 Aug → | ||
| 13–4 | -0.04 | 7% | 8 Aug → | ||
| 10–13 | 0.08 | 8% | 7 Aug → | ||
| 13–3 | 0.02 | 8% | 1 Aug → | ||
| 13–11 | 0.01 | 8% | 1 Aug → | ||
| 13–11 | 0.08 | 9% | 1 Aug → | ||
| 4–13 | 0.01 | 9% | 31 Jul → | ||
| 15–15 | 0.04 | 13% | 31 Jul → | ||
| 13–3 | -0.00 | 14% | 31 Jul → | ||
| 14–16 | -0.07 | 3% | 25 Jul → | ||
| 15–15 | -0.01 | 12% | 25 Jul → | ||
| 8–13 | 0.07 | 4% | 25 Jul → | ||
| 8–13 | -0.01 | 9% | 24 Jul → | ||
| 14–16 | -0.08 | 7% | 24 Jul → | ||
| 13–9 | 0.05 | 10% | 24 Jul → | ||
| 13–6 | 0.10 | 11% | 24 Jul → | ||
| 13–9 | 0.08 | 9% | 24 Jul → | ||
| 13–9 | 0.07 | 11% | 23 Jul → | ||
| 9–13 | -0.02 | 12% | 23 Jul → | ||
| 6–13 | -0.03 | 4% | 23 Jul → | ||
| 10–13 | 0.05 | 7% | 17 Jul → | ||
| 6–13 | 0.00 | 10% | 17 Jul → | ||
| 14–16 | -0.02 | 11% | 17 Jul → | ||
| 13–7 | 0.10 | 5% | 17 Jul → | ||
| 13–7 | 0.05 | 4% | 17 Jul → | ||
| 9–13 | 0.03 | 5% | 16 Jul → | ||
| 13–7 | -0.00 | 4% | 16 Jul → | ||
| 5–13 | 0.03 | 5% | 16 Jul → | ||
| 8–13 | -0.02 | 9% | 16 Jul → | ||
| 11–13 | -0.01 | 8% | 16 Jul → | ||
| 3–13 | -0.01 | 17% | 15 Jul → | ||
| 16–14 | 0.01 | 11% | 15 Jul → | ||
| 13–4 | -0.02 | 7% | 14 Jul → | ||
| 13–11 | -0.02 | 11% | 14 Jul → | ||
| 2–13 | -0.05 | 8% | 13 Jul → | ||
| 13–11 | 0.05 | 9% | 13 Jul → | ||
| 13–6 | -0.02 | 7% | 13 Jul → | ||
| 13–6 | -0.02 | 11% | 13 Jul → | ||
| 15–15 | -0.00 | 7% | 13 Jul → | ||
| 13–2 | 0.10 | 10% | 13 Jul → | ||
| 9–13 | -0.04 | 4% | 12 Jul → | ||
| 14–16 | -0.05 | 11% | 12 Jul → | ||
| 13–10 | 0.02 | 9% | 10 Jul → | ||
| 1–13 | -0.11 | 10% | 10 Jul → | ||
| 4–13 | -0.04 | 8% | 10 Jul → | ||
| 11–13 | 0.06 | 9% | 10 Jul → | ||
| 5–13 | 0.02 | 10% | 10 Jul → | ||
| 9–13 | -0.04 | 9% | 10 Jul → | ||
| 5–13 | -0.02 | 15% | 9 Jul → | ||
| 13–10 | -0.02 | 4% | 9 Jul → | ||
| 13–10 | 0.01 | 8% | 9 Jul → | ||
| 11–13 | -0.01 | 7% | 9 Jul → | ||
| 13–10 | 0.03 | 7% | 9 Jul → | ||
| 11–13 | -0.02 | 12% | 8 Jul → | ||
| 12–12 | 0.01 | 9% | 8 Jul → | ||
| 6–13 | -0.04 | 7% | 8 Jul → | ||
| 0–13 | -0.10 | 0% | 8 Jul → | ||
| 11–13 | 0.02 | 7% | 6 Jul → | ||
| 13–6 | 0.07 | 10% | 6 Jul → | ||
| 13–8 | -0.06 | 3% | 6 Jul → | ||
| 13–5 | 0.08 | 16% | 5 Jul → | ||
| 13–10 | -0.03 | 6% | 5 Jul → | ||
| 11–13 | -0.00 | 7% | 5 Jul → | ||
| 13–11 | 0.01 | 11% | 5 Jul → | ||
| 13–10 | 0.06 | 4% | 5 Jul → | ||
| 13–2 | 0.03 | 8% | 5 Jul → | ||
| 11–13 | 0.10 | 4% | 4 Jul → | ||
| 6–13 | -0.08 | 8% | 4 Jul → | ||
| 13–2 | 0.06 | 9% | 3 Jul → | ||
| 13–4 | -0.01 | 4% | 3 Jul → | ||
| 13–4 | -0.06 | 9% | 3 Jul → | ||
| 13–2 | 0.04 | 8% | 3 Jul → | ||
| 13–0 | 0.12 | 12% | 3 Jul → | ||
| 7–13 | -0.03 | 5% | 2 Jul → | ||
| 9–13 | -0.05 | 9% | 2 Jul → | ||
| 10–13 | 0.03 | 12% | 2 Jul → | ||
| 13–8 | 0.03 | 10% | 2 Jul → | ||
| 11–13 | -0.00 | 16% | 27 Jun → | ||
| 13–4 | 0.05 | 8% | 27 Jun → | ||
| 13–0 | 0.10 | 15% | 27 Jun → | ||
| 13–7 | 0.04 | 6% | 26 Jun → |
Match data via Leetify.
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