ahogan543 — CS2 Stats
76561198948140622[U:1:987874894]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 46.0% | 42.7% | 44.0% | above |
| Shot accuracy | 0.0% | 10.8% | 11.6% | 11.6% short |
| Kill/death ratio | 0.95 | 1.00 | 1.03 | 0.08 short |
| Match win rate | 49.3% | 44.1% | 45.1% | above |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 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: +10pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 device 92% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
Areas to improve
Reaction time. 640ms 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 6.7/10 (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 |
|---|---|---|---|---|---|
 cache | S | 43 | 31–12 | 72% | 0.05 |
 dust2 | S | 15 | 10–5 | 67% | 0.04 |
 nuke | S | 10 | 7–3 | 70% | 0.05 |
 vertigo | S | 9 | 6–3 | 67% | 0.05 |
 inferno | S | 7 | 5–2 | 71% | 0.07 |
 mirage | B | 6 | 3–3 | 50% | 0.04 |
 ancient | — | 2 | 0–2 | 0% | 0.06 |
| office | — | 2 | 1–1 | 50% | 0.17 |
 overpass | — | 2 | 1–1 | 50% | 0.01 |
 anubis | — | 2 | 2–0 | 100% | 0.03 |
 train | — | 1 | 0–1 | 0% | -0.04 |
| warden | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Mirage 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 2 | 50% | 0.42 | 5.0 |
| Nuke | 1 | 0% | 0.50 | 8.0 |
| Inferno | 1 | 100% | 0.38 | 6.0 |
| Ancient | 1 | 0% | 0.62 | 13.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 7–13 | -0.09 | 5% | 16 Jul → | |
| vertigo | 13–8 | 0.07 | 21% | 3 Jun → | |
| cache | 13–7 | 0.04 | 38% | 2 Jun → | |
| dust2 | 13–4 | 0.08 | 23% | 2 Jun → | |
| dust2 | 13–9 | 0.05 | 21% | 2 Jun → | |
| dust2 | 8–13 | 0.02 | 28% | 1 Jun → | |
| mirage | 13–7 | 0.09 | 17% | 29 May → | |
| dust2 | 13–9 | 0.01 | 17% | 29 May → | |
| ancient | 9–13 | 0.06 | 24% | 25 May → | |
| train | 10–13 | -0.04 | 15% | 25 May → | |
| dust2 | 12–12 | 0.03 | 16% | 25 May → | |
| mirage | 13–6 | 0.12 | 21% | 25 May → | |
| cache | 4–13 | -0.01 | 16% | 24 May → | |
| warden | 0–8 | 0.00 | 0% | 23 May → | |
| office | 13–2 | 0.23 | 26% | 23 May → | |
| cache | 13–7 | 0.06 | 26% | 23 May → | |
| cache | 10–13 | -0.00 | 19% | 22 May → | |
| cache | 13–11 | 0.02 | 15% | 22 May → | |
| dust2 | 13–4 | 0.17 | 28% | 22 May → | |
| cache | 5–13 | -0.01 | 26% | 22 May → | |
| mirage | 10–13 | 0.00 | 32% | 22 May → | |
| dust2 | 13–1 | 0.05 | 19% | 22 May → | |
| cache | 13–7 | 0.04 | 33% | 22 May → | |
| vertigo | 2–13 | -0.01 | 18% | 22 May → | |
| inferno | 13–6 | 0.03 | 23% | 22 May → | |
| cache | 8–13 | 0.00 | 39% | 22 May → | |
| vertigo | 13–10 | 0.01 | 24% | 22 May → | |
| ancient | 8–13 | 0.06 | 15% | 20 May → | |
| overpass | 13–11 | 0.03 | 26% | 20 May → | |
| cache | 9–13 | -0.03 | 42% | 20 May → | |
| cache | 13–7 | 0.13 | 20% | 20 May → | |
| dust2 | 13–7 | 0.07 | 31% | 20 May → | |
| inferno | 4–1 | 0.13 | 33% | 20 May → | |
| cache | 10–13 | 0.08 | 30% | 20 May → | |
| cache | 13–6 | 0.01 | 24% | 20 May → | |
| mirage | 11–13 | -0.04 | 14% | 20 May → | |
| anubis | 13–7 | 0.09 | 33% | 20 May → | |
| nuke | 13–4 | 0.04 | 19% | 20 May → | |
| cache | 13–8 | -0.02 | 18% | 20 May → | |
| cache | 13–11 | 0.00 | 22% | 20 May → | |
| inferno | 11–13 | 0.02 | 26% | 19 May → | |
| cache | 13–11 | 0.04 | 17% | 19 May → | |
| cache | 13–9 | 0.03 | 28% | 19 May → | |
| cache | 13–4 | -0.06 | 19% | 19 May → | |
| cache | 13–6 | 0.05 | 27% | 19 May → | |
| inferno | 13–10 | 0.10 | 19% | 19 May → | |
| cache | 13–9 | 0.09 | 26% | 19 May → | |
| cache | 13–2 | 0.15 | 29% | 19 May → | |
| cache | 13–5 | 0.15 | 7% | 19 May → | |
| inferno | 13–5 | 0.04 | 23% | 19 May → | |
| anubis | 13–3 | -0.04 | 28% | 19 May → | |
| cache | 12–12 | 0.06 | 14% | 19 May → | |
| cache | 13–11 | 0.13 | 20% | 19 May → | |
| dust2 | 13–5 | 0.02 | 22% | 19 May → | |
| nuke | 13–1 | 0.11 | 29% | 19 May → | |
| mirage | 13–9 | -0.00 | 16% | 19 May → | |
| vertigo | 13–0 | 0.16 | 47% | 19 May → | |
| cache | 13–2 | 0.10 | 37% | 19 May → | |
| nuke | 8–13 | 0.01 | 33% | 18 May → | |
| vertigo | 6–13 | 0.00 | 29% | 18 May → | |
| dust2 | 11–13 | -0.00 | 23% | 18 May → | |
| mirage | 12–12 | 0.08 | 26% | 18 May → | |
| overpass | 6–13 | -0.01 | 25% | 18 May → | |
| cache | 13–11 | 0.14 | 18% | 18 May → | |
| vertigo | 12–12 | 0.08 | 28% | 18 May → | |
| nuke | 8–3 | -0.06 | 17% | 18 May → | |
| cache | 3–13 | 0.06 | 14% | 18 May → | |
| cache | 3–13 | -0.05 | 10% | 18 May → | |
| cache | 13–6 | 0.08 | 27% | 18 May → | |
| cache | 5–13 | 0.01 | 18% | 18 May → | |
| cache | 6–2 | 0.04 | 28% | 17 May → | |
| dust2 | 13–7 | 0.06 | 16% | 17 May → | |
| vertigo | 13–4 | 0.04 | 21% | 17 May → | |
| nuke | 9–13 | -0.05 | 16% | 17 May → | |
| dust2 | 13–11 | 0.04 | 22% | 17 May → | |
| dust2 | 13–4 | 0.08 | 24% | 17 May → | |
| vertigo | 13–3 | 0.03 | 38% | 17 May → | |
| cache | 13–9 | 0.05 | 36% | 17 May → | |
| cache | 13–5 | 0.01 | 16% | 17 May → | |
| cache | 13–1 | 0.05 | 26% | 17 May → | |
| cache | 11–13 | 0.09 | 21% | 17 May → | |
| nuke | 13–3 | 0.10 | 16% | 17 May → | |
| cache | 13–6 | 0.01 | 19% | 17 May → | |
| cache | 13–10 | 0.05 | 15% | 17 May → | |
| inferno | 13–2 | 0.07 | 24% | 17 May → | |
| cache | 10–13 | 0.07 | 18% | 17 May → | |
| cache | 13–5 | 0.04 | 29% | 17 May → | |
| cache | 13–6 | 0.10 | 25% | 16 May → | |
| office | 12–12 | 0.10 | 20% | 16 May → | |
| dust2 | 10–13 | 0.01 | 21% | 16 May → | |
| nuke | 6–13 | 0.03 | 28% | 16 May → | |
| vertigo | 13–2 | 0.03 | 33% | 16 May → | |
| cache | 13–4 | -0.00 | 11% | 16 May → | |
| nuke | 13–7 | 0.11 | 28% | 16 May → | |
| nuke | 6–0 | 0.10 | 14% | 16 May → | |
| cache | 13–8 | -0.02 | 23% | 16 May → | |
| cache | 13–5 | 0.03 | 25% | 16 May → | |
| cache | 13–7 | 0.15 | 27% | 16 May → | |
| nuke | 13–2 | 0.10 | 19% | 16 May → | |
| inferno | 7–13 | 0.07 | 25% | 16 May → |
Match data via Leetify.
