Cellofalino — CS2 Stats
NO76561198288358693[U:1:328092965]Steam profile ↗✓ No bans
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 NiKo 72% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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. 617ms 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 3.7/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 17 | 8–9 | 47% | -0.02 | |
| B | 16 | 8–8 | 50% | -0.04 | |
| C | 14 | 5–9 | 36% | -0.04 | |
| B | 12 | 6–6 | 50% | -0.03 | |
| S | 12 | 9–3 | 75% | -0.03 | |
| S | 11 | 8–3 | 73% | -0.02 | |
| D | 6 | 1–5 | 17% | -0.04 | |
| C | 5 | 2–3 | 40% | -0.05 | |
| A | 5 | 3–2 | 60% | -0.04 | |
| — | 2 | 0–2 | 0% | -0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 95 | 48% | 0.77 | 12.2 |
| Ancient | 86 | 55% | 0.82 | 13.3 |
| Inferno | 57 | 35% | 0.65 | 11.3 |
| Vertigo | 51 | 57% | 0.83 | 12.7 |
| Mirage | 51 | 33% | 0.69 | 12.0 |
| Nuke | 35 | 54% | 0.86 | 12.5 |
| Dust2 | 20 | 60% | 0.85 | 12.9 |
| Train | 16 | 50% | 0.85 | 10.4 |
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 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 12.478% — below the 15% 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 21.0508% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.08 | 10% | 21 Aug → | ||
| 13–10 | -0.08 | 16% | 21 Aug → | ||
| 13–6 | 0.00 | 14% | 21 Aug → | ||
| 13–8 | 0.02 | 13% | 21 Aug → | ||
| 13–11 | -0.01 | 12% | 21 Aug → | ||
| 13–6 | -0.01 | 18% | 21 Aug → | ||
| 7–13 | -0.05 | 3% | 21 Aug → | ||
| 11–13 | -0.02 | 22% | 20 Aug → | ||
| 8–13 | -0.08 | 7% | 14 Aug → | ||
| 9–13 | -0.01 | 7% | 14 Aug → | ||
| 13–4 | -0.03 | 11% | 14 Aug → | ||
| 0–13 | -0.09 | 6% | 14 Aug → | ||
| 13–10 | -0.05 | 5% | 13 Aug → | ||
| 16–14 | -0.05 | 15% | 13 Aug → | ||
| 7–13 | -0.07 | 13% | 13 Aug → | ||
| 11–13 | -0.01 | 11% | 13 Aug → | ||
| 1–13 | -0.06 | 22% | 13 Aug → | ||
| 13–11 | -0.02 | 5% | 13 Aug → | ||
| 11–13 | -0.03 | 18% | 10 Aug → | ||
| 9–13 | -0.02 | 11% | 10 Aug → | ||
| 11–13 | -0.03 | 13% | 10 Aug → | ||
| 10–3 | 0.02 | 11% | 10 Aug → | ||
| 9–13 | -0.06 | 16% | 9 Aug → | ||
| 13–6 | -0.04 | 14% | 9 Aug → | ||
| 13–6 | -0.01 | 14% | 9 Aug → | ||
| 13–10 | -0.06 | 13% | 8 Aug → | ||
| 13–8 | 0.02 | 19% | 8 Aug → | ||
| 13–7 | -0.06 | 8% | 8 Aug → | ||
| 9–0 | 0.18 | 25% | 8 Aug → | ||
| 13–11 | -0.06 | 6% | 8 Aug → | ||
| 13–10 | -0.01 | 21% | 7 Aug → | ||
| 13–6 | -0.01 | 8% | 6 Aug → | ||
| 16–14 | -0.07 | 14% | 6 Aug → | ||
| 12–16 | -0.03 | 5% | 5 Aug → | ||
| 8–13 | -0.03 | 14% | 5 Aug → | ||
| 10–13 | -0.07 | 4% | 4 Aug → | ||
| 16–14 | -0.01 | 7% | 4 Aug → | ||
| 13–9 | -0.03 | 12% | 4 Aug → | ||
| 13–7 | -0.04 | 9% | 4 Aug → | ||
| 11–13 | -0.06 | 26% | 3 Aug → | ||
| 17–19 | -0.05 | 12% | 3 Aug → | ||
| 13–3 | -0.01 | 24% | 3 Aug → | ||
| 17–19 | -0.04 | 8% | 3 Aug → | ||
| 13–11 | 0.01 | 29% | 1 Aug → | ||
| 13–4 | 0.00 | 6% | 1 Aug → | ||
| 7–13 | -0.05 | 24% | 1 Aug → | ||
| 13–10 | -0.04 | 12% | 1 Aug → | ||
| 3–13 | -0.06 | 23% | 1 Aug → | ||
| 8–13 | -0.03 | 11% | 31 Jul → | ||
| 13–9 | -0.04 | 17% | 31 Jul → | ||
| 13–11 | -0.02 | 15% | 31 Jul → | ||
| 4–13 | -0.08 | 3% | 31 Jul → | ||
| 13–6 | -0.01 | 16% | 28 Jul → | ||
| 13–3 | -0.03 | 13% | 28 Jul → | ||
| 13–5 | -0.03 | 11% | 28 Jul → | ||
| 13–16 | -0.05 | 5% | 26 Jul → | ||
| 13–0 | 0.07 | 32% | 26 Jul → | ||
| 13–4 | 0.02 | 15% | 23 Jul → | ||
| 13–6 | 0.00 | 6% | 23 Jul → | ||
| 13–7 | -0.02 | 7% | 23 Jul → | ||
| 13–3 | 0.05 | 10% | 23 Jul → | ||
| 14–16 | -0.08 | 14% | 17 Jul → | ||
| 11–13 | -0.10 | 8% | 17 Jul → | ||
| 5–13 | -0.10 | 13% | 17 Jul → | ||
| 2–13 | -0.08 | 5% | 17 Jul → | ||
| 14–16 | -0.06 | 9% | 17 Jul → | ||
| 2–13 | -0.04 | 11% | 17 Jul → | ||
| 13–7 | -0.01 | 14% | 17 Jul → | ||
| 13–7 | -0.05 | 12% | 17 Jul → | ||
| 8–13 | -0.08 | 14% | 17 Jul → | ||
| 10–13 | -0.02 | 6% | 12 Jul → | ||
| 9–13 | -0.03 | 10% | 12 Jul → | ||
| 13–11 | -0.05 | 13% | 12 Jul → | ||
| 10–13 | -0.03 | 4% | 9 Jul → | ||
| 13–5 | -0.01 | 5% | 8 Jul → | ||
| 13–8 | -0.06 | 5% | 8 Jul → | ||
| 4–13 | -0.09 | 6% | 1 Jul → | ||
| 13–10 | -0.01 | 15% | 1 Jul → | ||
| 13–4 | -0.08 | 16% | 1 Jul → | ||
| 6–13 | -0.07 | 9% | 30 Jun → | ||
| 7–13 | -0.08 | 6% | 27 Jun → | ||
| 11–13 | -0.13 | 0% | 27 Jun → | ||
| 11–13 | -0.03 | 6% | 27 Jun → | ||
| 13–4 | -0.01 | 27% | 27 Jun → | ||
| 14–16 | -0.06 | 7% | 25 Jun → | ||
| 13–6 | 0.03 | 16% | 25 Jun → | ||
| 13–8 | -0.01 | 13% | 25 Jun → | ||
| 11–13 | 0.04 | 15% | 24 Jun → | ||
| 14–16 | -0.03 | 5% | 24 Jun → | ||
| 17–19 | -0.05 | 1% | 24 Jun → | ||
| 8–13 | -0.04 | 11% | 24 Jun → | ||
| 14–16 | -0.01 | 10% | 23 Jun → | ||
| 6–13 | -0.05 | 13% | 23 Jun → | ||
| 4–13 | -0.02 | 19% | 19 Jun → | ||
| 13–4 | -0.03 | 5% | 19 Jun → | ||
| 5–13 | -0.00 | 21% | 14 Jun → | ||
| 13–7 | -0.03 | 4% | 14 Jun → | ||
| 7–13 | -0.07 | 8% | 14 Jun → | ||
| 13–8 | -0.04 | 8% | 13 Jun → | ||
| 5–13 | -0.04 | 8% | 12 Jun → |
Match data via Leetify.