Spazzd — CS2 Stats
76561198005614499[U:1:45348771]
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 | 44.6% | 42.2% | 42.7% | above |
| Shot accuracy | 0.9% | 11.9% | 10.8% | 9.9% short |
| Kill/death ratio | 0.86 | 0.98 | 1.00 | 0.14 short |
| Match win rate | 38.1% | 43.6% | 44.1% | 6.0% 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: -30pp win rate · -0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong 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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 64% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 564ms 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 7.4/10 (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 |
|---|---|---|---|---|---|
 mirage | B | 20 | 10–10 | 50% | -0.00 |
 ancient | C | 16 | 7–9 | 44% | 0.01 |
 inferno | S | 12 | 8–4 | 67% | 0.03 |
 cache | A | 11 | 6–5 | 55% | 0.03 |
 nuke | A | 11 | 6–5 | 55% | 0.02 |
 overpass | C | 11 | 4–7 | 36% | -0.03 |
 anubis | D | 7 | 2–5 | 29% | 0.03 |
 dust2 | C | 7 | 3–4 | 43% | 0.03 |
 train | C | 5 | 2–3 | 40% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 66 | 41% | 0.83 | 12.7 |
| Anubis | 28 | 50% | 0.97 | 13.7 |
| Inferno | 28 | 39% | 0.90 | 13.1 |
| Dust2 | 27 | 33% | 0.97 | 15.7 |
| Ancient | 16 | 56% | 1.20 | 14.7 |
| Nuke | 16 | 75% | 0.99 | 12.8 |
| Train | 5 | 60% | 1.27 | 15.8 |
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 2.221 — below the 4 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 | |
|---|---|---|---|---|---|
| anubis | 4–13 | -0.04 | 19% | 9 Aug → | |
| cache | 11–13 | -0.02 | 24% | 30 Jul → | |
| inferno | 13–5 | 0.09 | 24% | 30 Jul → | |
| ancient | 14–16 | 0.01 | 14% | 29 Jul → | |
| mirage | 8–13 | 0.03 | 19% | 29 Jul → | |
| cache | 13–11 | -0.04 | 27% | 28 Jul → | |
| inferno | 13–6 | 0.10 | 38% | 26 Jul → | |
| cache | 13–8 | 0.14 | 23% | 26 Jul → | |
| mirage | 13–8 | 0.01 | 30% | 26 Jul → | |
| dust2 | 10–13 | 0.01 | 24% | 25 Jul → | |
| dust2 | 13–8 | 0.02 | 33% | 25 Jul → | |
| mirage | 13–9 | 0.05 | 26% | 25 Jul → | |
| anubis | 13–5 | 0.04 | 31% | 25 Jul → | |
| nuke | 5–13 | 0.02 | 22% | 18 Jul → | |
| nuke | 13–9 | 0.05 | 26% | 18 Jul → | |
| inferno | 13–9 | 0.05 | 30% | 18 Jul → | |
| dust2 | 11–13 | 0.08 | 27% | 16 Jul → | |
| cache | 13–10 | 0.08 | 31% | 15 Jul → | |
| ancient | 13–2 | 0.20 | 13% | 15 Jul → | |
| ancient | 13–6 | 0.04 | 31% | 15 Jul → | |
| mirage | 12–12 | 0.04 | 18% | 15 Jul → | |
| mirage | 13–10 | -0.01 | 18% | 11 Jul → | |
| nuke | 13–5 | 0.03 | 31% | 11 Jul → | |
| mirage | 13–10 | 0.05 | 21% | 11 Jul → | |
| inferno | 13–3 | 0.08 | 41% | 11 Jul → | |
| cache | 11–13 | 0.12 | 22% | 11 Jul → | |
| dust2 | 11–13 | 0.08 | 26% | 6 Jul → | |
| anubis | 10–13 | 0.04 | 20% | 6 Jul → | |
| mirage | 13–9 | 0.00 | 24% | 5 Jul → | |
| mirage | 15–15 | 0.04 | 22% | 26 Jun → | |
| ancient | 13–5 | 0.07 | 20% | 26 Jun → | |
| inferno | 8–13 | 0.06 | 14% | 21 Jun → | |
| mirage | 13–11 | 0.03 | 15% | 21 Jun → | |
| cache | 4–13 | -0.00 | 6% | 21 Jun → | |
| cache | 13–1 | 0.11 | 16% | 18 Jun → | |
| mirage | 8–13 | -0.05 | 12% | 16 Jun → | |
| nuke | 13–7 | 0.08 | 26% | 16 Jun → | |
| inferno | 14–16 | -0.01 | 21% | 16 Jun → | |
| anubis | 6–13 | 0.02 | 12% | 15 Jun → | |
| overpass | 9–13 | -0.00 | 28% | 15 Jun → | |
| cache | 13–4 | 0.00 | 17% | 15 Jun → | |
| anubis | 9–13 | 0.05 | 23% | 14 Jun → | |
| ancient | 15–15 | -0.03 | 14% | 14 Jun → | |
| cache | 13–4 | 0.02 | 41% | 14 Jun → | |
| mirage | 13–9 | 0.03 | 19% | 12 Jun → | |
| anubis | 13–4 | 0.09 | 18% | 12 Jun → | |
| inferno | 13–11 | -0.03 | 28% | 7 Jun → | |
| nuke | 10–13 | 0.07 | 17% | 7 Jun → | |
| nuke | 13–6 | 0.00 | 31% | 5 Jun → | |
| anubis | 5–13 | 0.02 | 15% | 3 Jun → | |
| mirage | 13–4 | 0.00 | 11% | 3 Jun → | |
| mirage | 12–16 | -0.02 | 21% | 3 Jun → | |
| cache | 4–13 | -0.01 | 26% | 2 Jun → | |
| nuke | 11–13 | -0.02 | 21% | 29 May → | |
| overpass | 13–6 | -0.02 | 20% | 27 May → | |
| inferno | 4–13 | -0.06 | 27% | 27 May → | |
| inferno | 13–9 | 0.03 | 11% | 27 May → | |
| cache | 10–13 | -0.04 | 15% | 26 May → | |
| mirage | 9–13 | -0.02 | 14% | 4 Apr → | |
| overpass | 11–13 | -0.06 | 15% | 5 Jan → | |
| mirage | 4–13 | 0.03 | 15% | 4 Jan → | |
| inferno | 13–8 | 0.05 | 15% | 31 Dec → | |
| dust2 | 13–9 | -0.03 | 28% | 25 Dec → | |
| ancient | 13–7 | 0.00 | 15% | 23 Dec → | |
| dust2 | 5–13 | 0.04 | 26% | 7 Dec → | |
| ancient | 3–13 | -0.07 | 8% | 7 Dec → | |
| ancient | 13–16 | -0.02 | 10% | 7 Dec → | |
| overpass | 13–7 | 0.05 | 13% | 28 Oct → | |
| nuke | 13–6 | 0.02 | 19% | 28 Oct → | |
| overpass | 8–13 | -0.10 | 15% | 14 Oct → | |
| inferno | 9–13 | -0.07 | 9% | 9 Oct → | |
| overpass | 11–13 | -0.02 | 21% | 9 Oct → | |
| train | 13–7 | 0.02 | 20% | 9 Oct → | |
| train | 16–12 | 0.05 | 23% | 7 Oct → | |
| ancient | 9–13 | -0.04 | 14% | 30 Sept → | |
| train | 4–9 | 0.00 | 0% | 30 Sept → | |
| nuke | 11–13 | -0.02 | 12% | 26 Sept → | |
| ancient | 13–11 | 0.12 | 8% | 26 Sept → | |
| overpass | 10–13 | -0.04 | 10% | 25 Sept → | |
| mirage | 10–13 | -0.07 | 16% | 25 Sept → | |
| overpass | 13–11 | -0.00 | 15% | 25 Sept → | |
| overpass | 0–13 | -0.06 | 10% | 25 Sept → | |
| train | 3–13 | -0.01 | 18% | 25 Sept → | |
| ancient | 11–13 | 0.04 | 17% | 25 Sept → | |
| overpass | 16–13 | -0.02 | 19% | 25 Sept → | |
| mirage | 4–13 | -0.05 | 11% | 24 Sept → | |
| ancient | 13–9 | 0.00 | 11% | 23 Sept → | |
| inferno | 13–11 | 0.05 | 19% | 23 Sept → | |
| ancient | 13–11 | 0.02 | 5% | 23 Sept → | |
| train | 8–13 | 0.01 | 16% | 23 Sept → | |
| ancient | 8–13 | -0.09 | 12% | 19 Sept → | |
| nuke | 13–3 | -0.02 | 21% | 19 Sept → | |
| ancient | 11–13 | -0.04 | 14% | 18 Sept → | |
| mirage | 13–9 | -0.02 | 9% | 18 Sept → | |
| dust2 | 13–11 | -0.02 | 22% | 18 Sept → | |
| mirage | 4–13 | -0.06 | 15% | 18 Sept → | |
| overpass | 1–13 | -0.07 | 8% | 18 Sept → | |
| nuke | 7–13 | -0.03 | 8% | 18 Sept → | |
| mirage | 13–10 | -0.04 | 15% | 18 Sept → | |
| ancient | 4–13 | -0.08 | 12% | 18 Sept → |
Match data via Leetify.