FriedSlice — CS2 Stats
76561198043839992[U:1:83574264]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 43.4% | 42.2% | 42.7% | meets |
| Shot accuracy | 0.0% | 11.9% | 10.8% | 10.8% short |
| Kill/death ratio | 0.82 | 0.98 | 1.00 | 0.18 short |
| Match win rate | 38.3% | 43.6% | 44.1% | 5.8% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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 · -0.04 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 60% 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. 702ms 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 |
|---|---|---|---|---|---|
 nuke | B | 24 | 11–13 | 46% | -0.02 |
 ancient | B | 15 | 7–8 | 47% | -0.04 |
 cache | D | 13 | 4–9 | 31% | -0.04 |
 anubis | D | 13 | 4–9 | 31% | -0.05 |
 mirage | D | 12 | 2–10 | 17% | -0.05 |
 inferno | C | 9 | 4–5 | 44% | -0.03 |
 dust2 | D | 7 | 2–5 | 29% | -0.01 |
 overpass | A | 5 | 3–2 | 60% | -0.06 |
 vertigo | — | 2 | 0–2 | 0% | -0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Mirage 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 5 | 20% | 0.64 | 10.0 |
| Inferno | 2 | 50% | 0.78 | 14.0 |
| Anubis | 1 | 0% | 0.17 | 1.0 |
| Mirage | 1 | 0% | 0.52 | 12.0 |
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 13.5507° — 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 10.611% — 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 701.6611ms — 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.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–6 | -0.02 | 14% | 28 Aug → | |
| nuke | 9–13 | -0.10 | 14% | 27 Aug → | |
| nuke | 2–13 | -0.05 | 5% | 26 Aug → | |
| cache | 3–13 | -0.10 | 6% | 26 Aug → | |
| nuke | 13–8 | -0.02 | 11% | 25 Aug → | |
| nuke | 3–13 | -0.01 | 17% | 24 Aug → | |
| ancient | 1–13 | -0.09 | 3% | 24 Aug → | |
| ancient | 4–13 | -0.07 | 3% | 24 Aug → | |
| nuke | 13–9 | -0.01 | 8% | 24 Aug → | |
| mirage | 2–13 | -0.11 | 4% | 24 Aug → | |
| inferno | 1–7 | 0.03 | 16% | 24 Aug → | |
| cache | 9–2 | 0.06 | 11% | 23 Aug → | |
| nuke | 4–13 | -0.00 | 7% | 20 Aug → | |
| cache | 8–13 | -0.05 | 6% | 19 Aug → | |
| nuke | 13–8 | -0.01 | 14% | 19 Aug → | |
| nuke | 8–13 | 0.00 | 11% | 18 Aug → | |
| ancient | 13–10 | -0.05 | 10% | 18 Aug → | |
| vertigo | 7–13 | -0.07 | 13% | 17 Aug → | |
| inferno | 2–6 | -0.08 | 0% | 12 Aug → | |
| cache | 12–12 | -0.04 | 13% | 11 Aug → | |
| cache | 6–13 | -0.02 | 2% | 8 Aug → | |
| mirage | 3–13 | -0.04 | 15% | 8 Aug → | |
| dust2 | 7–13 | -0.08 | 14% | 5 Aug → | |
| cache | 4–6 | -0.01 | 17% | 1 Aug → | |
| mirage | 12–12 | -0.05 | 7% | 1 Aug → | |
| anubis | 4–13 | -0.05 | 5% | 25 Jul → | |
| nuke | 8–13 | -0.06 | 27% | 8 Jul → | |
| anubis | 10–13 | -0.04 | 24% | 1 Jul → | |
| overpass | 8–13 | -0.05 | 4% | 28 Jun → | |
| inferno | 8–13 | -0.07 | 10% | 28 Jun → | |
| dust2 | 13–9 | 0.05 | 33% | 28 Jun → | |
| nuke | 13–8 | -0.04 | 11% | 27 Jun → | |
| cache | 5–13 | -0.03 | 19% | 19 Jun → | |
| nuke | 13–8 | 0.07 | 9% | 18 Jun → | |
| inferno | 13–4 | 0.06 | 21% | 18 Jun → | |
| inferno | 13–9 | -0.05 | 10% | 16 Jun → | |
| mirage | 5–13 | -0.08 | 11% | 15 Jun → | |
| ancient | 13–6 | 0.04 | 2% | 13 Jun → | |
| inferno | 13–7 | 0.01 | 18% | 13 Jun → | |
| mirage | 8–13 | -0.10 | 2% | 10 Jun → | |
| nuke | 13–7 | 0.03 | 11% | 9 Jun → | |
| ancient | 5–13 | -0.04 | 2% | 7 Jun → | |
| cache | 13–11 | -0.04 | 17% | 7 Jun → | |
| anubis | 4–13 | -0.09 | 4% | 7 Jun → | |
| anubis | 7–13 | -0.09 | 13% | 6 Jun → | |
| anubis | 6–13 | -0.03 | 8% | 6 Jun → | |
| ancient | 8–13 | -0.05 | 14% | 6 Jun → | |
| anubis | 13–10 | -0.01 | 22% | 6 Jun → | |
| ancient | 13–3 | -0.06 | 11% | 6 Jun → | |
| ancient | 13–7 | -0.07 | 11% | 3 Jun → | |
| nuke | 13–7 | -0.06 | 10% | 3 Jun → | |
| anubis | 6–13 | -0.05 | 9% | 3 Jun → | |
| vertigo | 4–13 | -0.03 | 13% | 3 Jun → | |
| inferno | 13–9 | -0.03 | 20% | 2 Jun → | |
| ancient | 13–9 | -0.06 | 7% | 2 Jun → | |
| nuke | 10–13 | -0.05 | 7% | 31 May → | |
| cache | 13–9 | 0.02 | 17% | 31 May → | |
| dust2 | 13–0 | 0.08 | 15% | 31 May → | |
| mirage | 9–13 | -0.05 | 11% | 30 May → | |
| anubis | 13–9 | -0.01 | 3% | 30 May → | |
| ancient | 13–8 | -0.03 | 10% | 28 May → | |
| anubis | 7–13 | -0.06 | 15% | 28 May → | |
| nuke | 13–4 | 0.03 | 6% | 27 May → | |
| anubis | 5–13 | -0.11 | 6% | 27 May → | |
| inferno | 11–13 | -0.09 | 6% | 27 May → | |
| ancient | 4–13 | -0.06 | 13% | 26 May → | |
| inferno | 12–12 | -0.09 | 3% | 25 May → | |
| nuke | 13–7 | -0.00 | 7% | 25 May → | |
| mirage | 12–12 | -0.02 | 5% | 25 May → | |
| ancient | 6–13 | -0.05 | 4% | 25 May → | |
| nuke | 0–5 | 0.01 | 100% | 25 May → | |
| dust2 | 9–13 | 0.06 | 10% | 25 May → | |
| nuke | 5–13 | -0.03 | 7% | 24 May → | |
| cache | 3–13 | -0.10 | 8% | 22 May → | |
| mirage | 9–13 | -0.04 | 9% | 22 May → | |
| cache | 8–13 | -0.06 | 13% | 20 May → | |
| overpass | 8–13 | -0.05 | 10% | 20 May → | |
| nuke | 7–13 | -0.04 | 8% | 19 May → | |
| anubis | 13–3 | -0.00 | 13% | 19 May → | |
| mirage | 13–5 | -0.03 | 5% | 17 May → | |
| nuke | 13–11 | 0.02 | 11% | 17 May → | |
| nuke | 2–13 | -0.04 | 13% | 17 May → | |
| dust2 | 11–13 | -0.07 | 11% | 17 May → | |
| cache | 9–13 | -0.08 | 26% | 17 May → | |
| overpass | 13–8 | -0.09 | 12% | 17 May → | |
| overpass | 13–10 | -0.03 | 22% | 17 May → | |
| ancient | 4–13 | -0.06 | 10% | 17 May → | |
| anubis | 9–13 | -0.07 | 10% | 17 May → | |
| dust2 | 8–13 | -0.06 | 18% | 17 May → | |
| overpass | 13–6 | -0.07 | 10% | 17 May → | |
| anubis | 13–10 | -0.05 | 17% | 17 May → | |
| ancient | 7–13 | -0.01 | 19% | 17 May → | |
| nuke | 4–13 | -0.06 | 26% | 17 May → | |
| dust2 | 6–13 | -0.04 | 14% | 16 May → | |
| mirage | 13–6 | 0.09 | 10% | 14 May → | |
| mirage | 7–13 | -0.10 | 6% | 13 May → | |
| mirage | 8–13 | -0.03 | 6% | 13 May → | |
| nuke | 13–5 | -0.01 | 3% | 13 May → | |
| cache | 13–5 | -0.06 | 7% | 12 May → | |
| nuke | 6–13 | -0.00 | 7% | 11 May → |
Match data via Leetify.