celli — CS2 Stats
76561198307949810[U:1:347684082]
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 64.6% | 44.2% | 44.9% | above |
| Shot accuracy | 11.6% | 11.2% | 11.8% | meets |
| Kill/death ratio | 1.20 | 1.04 | 1.04 | above |
| Match win rate | 52.3% | 45.3% | 45.3% | above |
Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Effective flashesReliable in 1v1s
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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: 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
Strengths
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 714ms 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 7.1/10 (Strong), 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 | 33 | 19–14 | 58% | 0.03 | |
| A | 24 | 15–9 | 63% | 0.02 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.03 | |
| D | 7 | 2–5 | 29% | 0.00 | |
| S | 6 | 4–2 | 67% | 0.07 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 2 | 100% | 1.70 | 14.5 |
| Nuke | 2 | 100% | 0.82 | 13.0 |
| Mirage | 1 | 100% | 1.11 | 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.
- 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 714.1704ms — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | 0.02 | 52% | 26 Aug → | ||
| 3–13 | 0.00 | 42% | 22 Aug → | ||
| 5–13 | 0.01 | 60% | 16 Aug → | ||
| 6–13 | 0.03 | 49% | 16 Aug → | ||
| 13–4 | 0.07 | 47% | 12 Aug → | ||
| 9–13 | 0.05 | 26% | 12 Aug → | ||
| 13–8 | 0.04 | 44% | 5 Aug → | ||
| 11–13 | -0.01 | 34% | 4 Aug → | ||
| 2–13 | -0.10 | 44% | 2 Aug → | ||
| 13–4 | 0.07 | 33% | 1 Aug → | ||
| 9–13 | 0.03 | 32% | 31 Jul → | ||
| 13–10 | -0.01 | 63% | 31 Jul → | ||
| 1–5 | 0.00 | 44% | 31 Jul → | ||
| 7–13 | 0.04 | 44% | 30 Jul → | ||
| 13–10 | 0.03 | 32% | 30 Jul → | ||
| 13–11 | 0.03 | 35% | 27 Jul → | ||
| 13–11 | 0.07 | 45% | 27 Jul → | ||
| 2–13 | -0.15 | 33% | 25 Jul → | ||
| 13–6 | 0.03 | 32% | 25 Jul → | ||
| 13–5 | 0.11 | 23% | 25 Jul → | ||
| 13–6 | 0.07 | 29% | 23 Jul → | ||
| 9–13 | -0.01 | 47% | 23 Jul → | ||
| 13–9 | -0.01 | 43% | 12 Jun → | ||
| 13–8 | 0.08 | 37% | 11 Jun → | ||
| 9–13 | 0.05 | 64% | 10 Jun → | ||
| 13–6 | 0.12 | 36% | 10 Jun → | ||
| 13–9 | 0.02 | 51% | 10 Jun → | ||
| 13–4 | 0.12 | 36% | 10 Jun → | ||
| 9–13 | -0.02 | 29% | 10 Jun → | ||
| 16–14 | 0.00 | 33% | 9 Jun → | ||
| 13–9 | 0.08 | 41% | 9 Jun → | ||
| 13–11 | 0.03 | 52% | 8 Jun → | ||
| 13–4 | 0.02 | 35% | 7 Jun → | ||
| 13–9 | 0.04 | 39% | 6 Jun → | ||
| 9–13 | -0.04 | 35% | 6 Jun → | ||
| 13–11 | 0.15 | 35% | 6 Jun → | ||
| 13–16 | -0.00 | 30% | 6 Jun → | ||
| 15–15 | 0.08 | 41% | 5 Jun → | ||
| 6–13 | -0.06 | 22% | 4 Jun → | ||
| 5–13 | 0.02 | 32% | 4 Jun → | ||
| 13–4 | 0.15 | 47% | 4 Jun → | ||
| 7–13 | -0.04 | 39% | 4 Jun → | ||
| 13–11 | -0.02 | 42% | 4 Jun → | ||
| 13–9 | 0.03 | 37% | 3 Jun → | ||
| 8–13 | 0.05 | 36% | 3 Jun → | ||
| 13–10 | 0.02 | 43% | 3 Jun → | ||
| 5–13 | -0.04 | 100% | 2 Jun → | ||
| 13–9 | 0.11 | 34% | 2 Jun → | ||
| 2–5 | -0.10 | 33% | 2 Jun → | ||
| 13–8 | -0.00 | 33% | 2 Jun → | ||
| 13–2 | 0.04 | 33% | 1 Jun → | ||
| 13–4 | 0.05 | 50% | 1 Jun → | ||
| 13–4 | 0.04 | 42% | 1 Jun → | ||
| 13–8 | 0.06 | 29% | 1 Jun → | ||
| 3–13 | -0.05 | 32% | 1 Jun → | ||
| 9–13 | -0.02 | 26% | 1 Jun → | ||
| 5–13 | 0.02 | 52% | 1 Jun → | ||
| 4–6 | 0.03 | 54% | 31 May → | ||
| 13–8 | 0.10 | 44% | 31 May → | ||
| 13–11 | -0.04 | 32% | 30 May → | ||
| 13–10 | 0.01 | 35% | 30 May → | ||
| 13–5 | -0.05 | 31% | 30 May → | ||
| 13–2 | 0.03 | 54% | 30 May → | ||
| 13–16 | 0.03 | 26% | 29 May → | ||
| 13–10 | 0.01 | 31% | 29 May → | ||
| 13–16 | -0.03 | 23% | 29 May → | ||
| 13–7 | 0.05 | 47% | 29 May → | ||
| 13–11 | 0.04 | 26% | 28 May → | ||
| 15–15 | 0.06 | 46% | 28 May → | ||
| 12–16 | -0.01 | 31% | 28 May → | ||
| 3–13 | 0.02 | 27% | 27 May → | ||
| 7–13 | 0.02 | 44% | 27 May → | ||
| 13–10 | 0.05 | 44% | 27 May → | ||
| 10–13 | 0.00 | 38% | 27 May → | ||
| 13–9 | -0.02 | 21% | 27 May → | ||
| 13–10 | 0.06 | 41% | 26 May → | ||
| 13–9 | 0.11 | 30% | 26 May → | ||
| 6–13 | 0.09 | 62% | 26 May → | ||
| 13–4 | 0.02 | 53% | 26 May → | ||
| 13–5 | 0.01 | 40% | 26 May → | ||
| 4–13 | -0.01 | 50% | 25 May → | ||
| 13–8 | 0.18 | 47% | 25 May → | ||
| 13–10 | 0.10 | 24% | 25 May → | ||
| 4–13 | -0.10 | 20% | 25 May → | ||
| 13–7 | 0.09 | 56% | 25 May → | ||
| 3–13 | -0.10 | 100% | 25 May → | ||
| 15–15 | -0.04 | 43% | 24 May → | ||
| 13–4 | 0.07 | 32% | 24 May → | ||
| 11–13 | 0.07 | 43% | 23 May → | ||
| 13–9 | 0.12 | 33% | 23 May → | ||
| 5–13 | -0.01 | 14% | 23 May → | ||
| 6–13 | -0.02 | 44% | 23 May → | ||
| 6–13 | -0.01 | 42% | 21 May → | ||
| 13–6 | 0.03 | 48% | 21 May → | ||
| 13–3 | 0.05 | 45% | 21 May → | ||
| 11–13 | -0.00 | 50% | 21 May → | ||
| 7–13 | 0.01 | 38% | 21 May → | ||
| 13–4 | 0.08 | 41% | 21 May → | ||
| 13–5 | 0.04 | 59% | 20 May → | ||
| 5–13 | 0.03 | 35% | 20 May → |
Match data via Leetify.