dinosauce313 — CS2 Stats
AQ76561198259977399[U:1:299711671]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=673), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 45.9% | 41.2% | 42.2% | above |
| Shot accuracy | 17.8% | 12.5% | 11.9% | above |
| Kill/death ratio | 0.82 | 0.96 | 0.98 | 0.15 short |
| Match win rate | 32.1% | 42.8% | 43.6% | 11.5% short |
This profile matches the typical Level 3 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 3 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 · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 NiKo 83% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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.
Reaction time. 560ms 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 |
|---|---|---|---|---|---|
 dust2 | B | 23 | 11–12 | 48% | 0.02 |
 inferno | A | 20 | 11–9 | 55% | 0.04 |
 mirage | S | 20 | 13–7 | 65% | 0.03 |
 overpass | B | 10 | 5–5 | 50% | -0.01 |
 anubis | B | 8 | 4–4 | 50% | 0.03 |
 ancient | B | 6 | 3–3 | 50% | 0.00 |
 train | B | 6 | 3–3 | 50% | 0.03 |
 nuke | A | 5 | 3–2 | 60% | 0.05 |
| alpine | — | 1 | 0–1 | 0% | 0.01 |
 vertigo | — | 1 | 0–1 | 0% | 0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (48% over 23). 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 resultsWLWWW
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 3.5199 — 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 30.7017% — 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.
48% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 16–14 | 0.03 | 24% | 22 Apr → | |
| anubis | 3–13 | 0.03 | 9% | 22 Apr → | |
| inferno | 10–13 | 0.05 | 23% | 22 Apr → | |
| overpass | 5–9 | -0.12 | 32% | 21 Apr → | |
| ancient | 13–8 | -0.01 | 23% | 19 Apr → | |
| mirage | 13–10 | 0.03 | 17% | 16 Apr → | |
| mirage | 9–13 | 0.00 | 16% | 11 Apr → | |
| inferno | 13–2 | 0.08 | 27% | 4 Apr → | |
| nuke | 13–7 | 0.08 | 22% | 29 Mar → | |
| dust2 | 13–8 | 0.16 | 31% | 26 Mar → | |
| inferno | 9–5 | 0.10 | 32% | 16 Mar → | |
| mirage | 16–12 | 0.02 | 14% | 15 Mar → | |
| anubis | 12–12 | 0.08 | 12% | 10 Mar → | |
| dust2 | 11–2 | 0.03 | 19% | 6 Mar → | |
| overpass | 16–12 | 0.03 | 20% | 6 Mar → | |
| mirage | 10–13 | -0.01 | 11% | 15 Feb → | |
| dust2 | 13–5 | -0.00 | 14% | 11 Feb → | |
| ancient | 11–13 | 0.08 | 11% | 2 Feb → | |
| dust2 | 11–13 | -0.03 | 9% | 2 Feb → | |
| nuke | 13–7 | 0.00 | 13% | 31 Jan → | |
| alpine | 9–13 | 0.01 | 16% | 24 Jan → | |
| dust2 | 4–13 | -0.00 | 29% | 11 Jan → | |
| mirage | 13–9 | 0.07 | 17% | 10 Jan → | |
| dust2 | 13–2 | 0.10 | 22% | 10 Jan → | |
| overpass | 13–6 | 0.04 | 17% | 12 Dec → | |
| dust2 | 13–9 | 0.05 | 17% | 8 Dec → | |
| dust2 | 4–13 | -0.00 | 14% | 15 Nov → | |
| inferno | 4–13 | 0.00 | 13% | 14 Nov → | |
| nuke | 6–13 | 0.02 | 19% | 14 Nov → | |
| dust2 | 13–7 | 0.06 | 41% | 14 Nov → | |
| dust2 | 10–13 | 0.09 | 28% | 8 Nov → | |
| nuke | 13–8 | 0.17 | 19% | 31 Oct → | |
| inferno | 12–12 | 0.01 | 14% | 28 Sept → | |
| ancient | 13–7 | 0.03 | 12% | 27 Sept → | |
| mirage | 12–12 | 0.00 | 20% | 21 Aug → | |
| overpass | 5–13 | 0.01 | 13% | 11 Aug → | |
| inferno | 13–2 | 0.08 | 17% | 9 Aug → | |
| dust2 | 13–8 | 0.09 | 36% | 25 Jul → | |
| mirage | 13–6 | -0.01 | 19% | 18 Jul → | |
| inferno | 9–13 | 0.08 | 15% | 11 Jul → | |
| vertigo | 12–12 | 0.10 | 24% | 3 Jul → | |
| train | 2–12 | 0.05 | 6% | 3 Jul → | |
| mirage | 13–5 | 0.08 | 18% | 3 Jul → | |
| dust2 | 5–13 | 0.01 | 16% | 22 Jun → | |
| mirage | 10–13 | 0.07 | 15% | 21 Jun → | |
| train | 12–12 | 0.06 | 18% | 20 Jun → | |
| inferno | 9–7 | 0.09 | 18% | 19 Jun → | |
| dust2 | 3–13 | -0.06 | 19% | 19 Jun → | |
| mirage | 12–12 | -0.02 | 10% | 19 Jun → | |
| anubis | 13–8 | 0.06 | 10% | 18 Jun → | |
| mirage | 13–11 | 0.01 | 23% | 16 Jun → | |
| train | 13–4 | 0.06 | 15% | 15 Jun → | |
| train | 13–11 | -0.00 | 12% | 31 May → | |
| overpass | 13–7 | -0.02 | 9% | 21 May → | |
| train | 3–13 | -0.00 | 15% | 20 May → | |
| inferno | 13–9 | 0.04 | 18% | 15 Apr → | |
| train | 13–8 | 0.00 | 9% | 18 Mar → | |
| mirage | 12–12 | 0.06 | 22% | 24 Oct → | |
| overpass | 13–5 | -0.04 | 22% | 21 Sept → | |
| ancient | 7–1 | -0.04 | 38% | 21 Sept → | |
| anubis | 13–9 | 0.01 | 25% | 21 Sept → | |
| anubis | 7–13 | 0.03 | 23% | 9 Mar → | |
| mirage | 13–8 | 0.06 | 15% | 19 Feb → | |
| inferno | 13–3 | -0.01 | 41% | 11 Feb → | |
| ancient | 11–13 | 0.01 | 33% | 11 Feb → | |
| inferno | 13–1 | 0.08 | 18% | 11 Feb → | |
| anubis | 9–13 | -0.02 | 15% | 11 Feb → | |
| overpass | 2–13 | -0.00 | 8% | 11 Feb → | |
| anubis | 13–2 | 0.01 | 12% | 11 Feb → | |
| inferno | 8–13 | 0.00 | 16% | 11 Feb → | |
| overpass | 11–13 | -0.03 | 28% | 11 Feb → | |
| anubis | 13–5 | 0.03 | 20% | 10 Feb → | |
| ancient | 2–13 | -0.05 | 9% | 9 Feb → | |
| mirage | 13–6 | 0.05 | 19% | 9 Dec → | |
| dust2 | 4–16 | -0.08 | 8% | 25 Jul → | |
| dust2 | 2–16 | -0.07 | 11% | 25 Jul → | |
| dust2 | 12–16 | -0.04 | 14% | 22 Jul → | |
| dust2 | 16–11 | 0.12 | 25% | 18 Jul → | |
| mirage | 16–6 | 0.10 | 22% | 16 Jul → | |
| dust2 | 16–10 | 0.04 | 19% | 8 Jul → | |
| inferno | 16–10 | 0.06 | 17% | 26 May → | |
| inferno | 15–15 | 0.07 | 21% | 5 Feb → | |
| inferno | 16–9 | 0.02 | 17% | 7 Jun → | |
| inferno | 8–16 | -0.07 | 18% | 13 Apr → | |
| mirage | 16–5 | 0.03 | 23% | 6 Apr → | |
| mirage | 16–12 | 0.01 | 24% | 26 Mar → | |
| inferno | 14–16 | 0.00 | 31% | 17 Mar → | |
| inferno | 16–8 | 0.05 | 20% | 16 Mar → | |
| overpass | 14–16 | -0.01 | 21% | 7 Mar → | |
| dust2 | 16–3 | 0.05 | 24% | 6 Mar → | |
| mirage | 10–16 | 0.00 | 53% | 6 Mar → | |
| mirage | 16–3 | -0.04 | 11% | 19 Feb → | |
| dust2 | 10–16 | -0.03 | 18% | 13 Feb → | |
| overpass | 16–3 | 0.10 | 26% | 6 Feb → | |
| dust2 | 13–16 | -0.00 | 24% | 5 Feb → | |
| mirage | 16–4 | 0.01 | 19% | 2 Feb → | |
| nuke | 11–16 | -0.03 | 27% | 31 Jan → | |
| inferno | 16–12 | -0.01 | 29% | 30 Jan → | |
| inferno | 12–16 | 0.09 | 23% | 17 Jan → | |
| dust2 | 11–16 | -0.07 | 16% | 14 Jan → |
Match data via Leetify.