Unc Timmahhhh — CS2 Stats
GB76561198029859800[U:1:69594072]Steam profile ↗
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 | 59.2% | 48.1% | above |
| Shot accuracy | 18.3% | 12.9% | above |
| Kill/death ratio | 1.37 | 1.08 | above |
| Match win rate | 39.9% | 46.5% | 6.6% short |
This profile matches the typical Pink band player on 3 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.
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: -30pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited utility dependence
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 Twistzz 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 53% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 624ms 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 5.5/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | B | 30 | 15–15 | 50% | -0.01 |
 inferno | S | 17 | 11–6 | 65% | -0.01 |
 nuke | S | 15 | 11–4 | 73% | 0.01 |
 anubis | A | 11 | 7–4 | 64% | -0.01 |
 dust2 | C | 11 | 4–7 | 36% | -0.03 |
 ancient | D | 6 | 0–6 | 0% | -0.04 |
 overpass | D | 5 | 0–5 | 0% | -0.02 |
 train | — | 3 | 0–3 | 0% | -0.00 |
 cache | — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Ancient 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 2 | 50% | 0.94 | 15.0 |
| Inferno | 1 | 0% | 0.65 | 13.0 |
| Mirage | 1 | 100% | 1.00 | 11.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2324 — below the 4 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 26.494% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 9–13 | 0.01 | 18% | 7 Aug → | |
| anubis | 5–13 | -0.05 | 13% | 5 Aug → | |
| nuke | 15–15 | -0.03 | 17% | 1 Aug → | |
| mirage | 13–6 | 0.06 | 19% | 1 Aug → | |
| anubis | 13–8 | 0.04 | 24% | 1 Aug → | |
| dust2 | 13–10 | -0.02 | 23% | 1 Aug → | |
| dust2 | 13–11 | 0.04 | 13% | 30 Jul → | |
| ancient | 11–13 | -0.05 | 15% | 28 Jul → | |
| nuke | 11–13 | 0.01 | 14% | 28 Jul → | |
| mirage | 7–13 | -0.06 | 35% | 25 Jul → | |
| mirage | 13–4 | 0.06 | 11% | 25 Jul → | |
| inferno | 13–8 | 0.03 | 17% | 25 Jul → | |
| ancient | 15–15 | -0.05 | 11% | 24 Jul → | |
| mirage | 0–13 | -0.06 | 9% | 23 Jul → | |
| inferno | 13–8 | 0.01 | 22% | 23 Jul → | |
| inferno | 13–8 | -0.05 | 29% | 20 Jul → | |
| mirage | 8–13 | -0.03 | 11% | 20 Jul → | |
| inferno | 13–4 | -0.05 | 12% | 13 Jul → | |
| nuke | 13–4 | 0.03 | 29% | 13 Jul → | |
| anubis | 13–7 | 0.01 | 19% | 13 Jul → | |
| ancient | 3–13 | 0.02 | 14% | 13 Jul → | |
| mirage | 8–13 | 0.01 | 24% | 12 Jul → | |
| mirage | 7–3 | 0.06 | 32% | 12 Jul → | |
| nuke | 13–3 | -0.02 | 46% | 12 Jul → | |
| cache | 14–16 | -0.03 | 17% | 10 Jul → | |
| overpass | 2–13 | -0.04 | 25% | 8 Jun → | |
| dust2 | 5–13 | -0.05 | 14% | 8 Jun → | |
| nuke | 13–8 | 0.01 | 38% | 5 Jun → | |
| inferno | 11–13 | -0.02 | 9% | 5 Jun → | |
| dust2 | 3–6 | -0.03 | 18% | 5 Jun → | |
| dust2 | 11–13 | -0.02 | 30% | 5 Jun → | |
| mirage | 9–13 | -0.00 | 21% | 29 May → | |
| nuke | 9–13 | -0.03 | 15% | 11 Apr → | |
| inferno | 13–2 | 0.01 | 13% | 11 Apr → | |
| mirage | 16–14 | 0.04 | 25% | 28 Feb → | |
| dust2 | 12–16 | -0.07 | 28% | 25 Feb → | |
| nuke | 12–16 | -0.00 | 17% | 22 Feb → | |
| anubis | 13–9 | 0.00 | 8% | 22 Feb → | |
| mirage | 11–13 | -0.02 | 13% | 22 Feb → | |
| mirage | 7–13 | -0.06 | 11% | 22 Feb → | |
| mirage | 11–13 | -0.07 | 19% | 20 Feb → | |
| mirage | 10–13 | -0.05 | 15% | 16 Feb → | |
| mirage | 13–7 | -0.02 | 11% | 16 Feb → | |
| mirage | 15–15 | -0.07 | 20% | 6 Feb → | |
| mirage | 13–4 | 0.02 | 36% | 6 Feb → | |
| anubis | 13–10 | -0.05 | 30% | 6 Feb → | |
| mirage | 13–5 | -0.01 | 24% | 4 Feb → | |
| inferno | 11–13 | -0.03 | 18% | 3 Feb → | |
| overpass | 11–13 | -0.06 | 8% | 3 Feb → | |
| mirage | 13–11 | -0.03 | 20% | 3 Feb → | |
| nuke | 13–3 | 0.00 | 15% | 3 Feb → | |
| overpass | 12–16 | -0.03 | 23% | 31 Jan → | |
| mirage | 8–13 | 0.03 | 28% | 31 Jan → | |
| inferno | 13–9 | -0.02 | 15% | 31 Jan → | |
| dust2 | 13–7 | 0.01 | 24% | 31 Jan → | |
| overpass | 8–13 | 0.02 | 21% | 30 Jan → | |
| anubis | 16–14 | -0.03 | 17% | 30 Jan → | |
| anubis | 10–13 | 0.05 | 18% | 25 Jan → | |
| nuke | 13–10 | 0.01 | 21% | 25 Jan → | |
| nuke | 13–9 | 0.02 | 36% | 22 Jan → | |
| anubis | 13–11 | -0.02 | 25% | 22 Jan → | |
| nuke | 13–4 | 0.03 | 13% | 22 Jan → | |
| inferno | 2–13 | -0.05 | 39% | 28 Aug → | |
| dust2 | 11–13 | -0.03 | 28% | 28 Aug → | |
| mirage | 13–6 | 0.04 | 23% | 29 Jul → | |
| inferno | 13–6 | -0.05 | 33% | 29 Jul → | |
| ancient | 4–13 | -0.02 | 28% | 22 Jul → | |
| dust2 | 4–13 | -0.07 | 36% | 16 Jul → | |
| mirage | 13–1 | 0.18 | 26% | 16 Jul → | |
| overpass | 10–13 | -0.01 | 21% | 16 Jul → | |
| nuke | 13–6 | 0.04 | 23% | 14 Jul → | |
| mirage | 11–13 | -0.07 | 23% | 14 Jul → | |
| inferno | 15–15 | -0.04 | 21% | 10 Jul → | |
| mirage | 8–2 | -0.06 | 22% | 10 Jul → | |
| train | 8–13 | -0.05 | 15% | 8 Jul → | |
| mirage | 13–9 | -0.03 | 17% | 3 Jun → | |
| ancient | 15–15 | -0.01 | 19% | 1 Jun → | |
| anubis | 13–11 | -0.02 | 27% | 1 Jun → | |
| nuke | 13–11 | -0.02 | 20% | 18 Mar → | |
| inferno | 13–6 | 0.03 | 35% | 18 Mar → | |
| dust2 | 8–13 | -0.02 | 20% | 18 Mar → | |
| mirage | 5–13 | -0.04 | 17% | 18 Mar → | |
| mirage | 16–14 | 0.05 | 19% | 14 Mar → | |
| inferno | 16–14 | -0.00 | 20% | 14 Mar → | |
| anubis | 10–13 | 0.03 | 32% | 14 Mar → | |
| mirage | 16–13 | 0.01 | 26% | 14 Mar → | |
| dust2 | 13–10 | -0.02 | 11% | 14 Mar → | |
| inferno | 14–16 | 0.04 | 14% | 28 Feb → | |
| mirage | 13–7 | 0.04 | 20% | 28 Feb → | |
| inferno | 11–13 | -0.04 | 35% | 7 Feb → | |
| anubis | 7–13 | -0.05 | 10% | 7 Feb → | |
| ancient | 6–13 | -0.12 | 50% | 7 Feb → | |
| inferno | 16–14 | 0.04 | 23% | 29 Jan → | |
| train | 11–13 | -0.04 | 18% | 29 Jan → | |
| train | 13–16 | 0.09 | 21% | 29 Jan → | |
| mirage | 10–13 | -0.08 | 29% | 24 Jan → | |
| nuke | 13–9 | 0.09 | 13% | 20 Jan → | |
| inferno | 13–9 | 0.01 | 16% | 20 Jan → | |
| nuke | 13–9 | 0.05 | 21% | 20 Jan → | |
| mirage | 1–13 | -0.08 | 40% | 20 Jan → |
Match data via Leetify.
