PS1 H4ckrid — CS2 Stats
76561199844629471[U:1:1884363743]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=9,423), 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 | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 40.8% | 47.1% | 49.8% | 9.0% short |
| Shot accuracy | 0.0% | 12.8% | 13.4% | 13.4% short |
| Kill/death ratio | 1.28 | 1.08 | 1.12 | above |
| Match win rate | 53.2% | 46.7% | 48.6% | above |
This profile matches the typical Red band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red band 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: +20pp win rate · +0.04 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 ZywOo 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 555ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 22 | 11–11 | 50% | 0.03 | |
| S | 16 | 11–5 | 69% | 0.03 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| S | 13 | 10–3 | 77% | 0.04 | |
| S | 10 | 7–3 | 70% | 0.04 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| D | 7 | 2–5 | 29% | -0.01 | |
| office | — | 1 | 1–0 | 100% | 0.14 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass 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.
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 13.188% — below the 15% 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 | |
|---|---|---|---|---|---|
| 13–9 | 0.07 | 17% | 29 Aug → | ||
| 13–4 | 0.04 | 12% | 29 Aug → | ||
| 13–3 | 0.05 | 10% | 29 Aug → | ||
| 8–13 | 0.02 | 13% | 29 Aug → | ||
| 13–9 | 0.07 | 11% | 29 Aug → | ||
| 13–8 | -0.01 | 20% | 29 Aug → | ||
| 11–13 | 0.00 | 17% | 29 Aug → | ||
| 13–7 | 0.03 | 14% | 29 Aug → | ||
| 11–13 | 0.09 | 15% | 29 Aug → | ||
| 13–8 | 0.03 | 8% | 27 Aug → | ||
| 11–13 | -0.03 | 15% | 27 Aug → | ||
| 13–8 | 0.02 | 12% | 20 Aug → | ||
| 2–13 | -0.05 | 15% | 20 Aug → | ||
| 13–5 | 0.02 | 13% | 9 Aug → | ||
| 13–9 | 0.08 | 22% | 9 Aug → | ||
| 13–5 | 0.08 | 12% | 9 Aug → | ||
| 13–11 | 0.08 | 9% | 9 Aug → | ||
| 1–13 | -0.05 | 11% | 9 Aug → | ||
| 3–13 | -0.10 | 19% | 31 Jul → | ||
| 4–13 | -0.06 | 16% | 31 Jul → | ||
| 16–13 | 0.02 | 18% | 21 Jul → | ||
| 9–13 | -0.04 | 13% | 21 Jul → | ||
| 13–11 | 0.00 | 9% | 21 Jul → | ||
| 13–11 | 0.03 | 13% | 21 Jul → | ||
| 7–13 | 0.03 | 10% | 21 Jul → | ||
| 13–16 | 0.06 | 7% | 15 Jul → | ||
| 13–9 | 0.02 | 9% | 14 Jul → | ||
| 13–16 | 0.04 | 11% | 14 Jul → | ||
| 13–8 | 0.06 | 13% | 14 Jul → | ||
| 13–7 | 0.04 | 14% | 13 Jul → | ||
| 13–5 | 0.03 | 20% | 13 Jul → | ||
| 13–11 | 0.07 | 7% | 5 Jul → | ||
| 6–13 | -0.04 | 14% | 5 Jul → | ||
| 7–13 | 0.00 | 9% | 5 Jul → | ||
| 13–1 | 0.15 | 20% | 1 Jul → | ||
| 13–3 | 0.15 | 20% | 1 Jul → | ||
| 9–13 | 0.02 | 11% | 1 Jul → | ||
| 14–16 | 0.05 | 25% | 28 Jun → | ||
| 13–11 | 0.02 | 13% | 13 Jun → | ||
| 8–13 | -0.01 | 10% | 13 Jun → | ||
| 10–13 | 0.04 | 10% | 13 Jun → | ||
| 7–13 | 0.02 | 9% | 13 Jun → | ||
| 13–9 | 0.07 | 19% | 13 Jun → | ||
| 13–6 | -0.02 | 6% | 13 Jun → | ||
| 6–0 | 0.07 | 4% | 13 Jun → | ||
| 8–13 | 0.03 | 14% | 12 Jun → | ||
| 13–6 | 0.00 | 13% | 12 Jun → | ||
| 8–13 | 0.05 | 28% | 12 Jun → | ||
| 13–8 | -0.02 | 14% | 7 Jun → | ||
| 13–16 | 0.09 | 12% | 7 Jun → | ||
| 13–11 | 0.09 | 16% | 7 Jun → | ||
| 8–13 | -0.00 | 11% | 1 Jun → | ||
| 3–13 | 0.05 | 18% | 1 Jun → | ||
| 13–5 | -0.02 | 5% | 1 Jun → | ||
| 13–5 | 0.03 | 16% | 25 May → | ||
| 13–3 | 0.01 | 21% | 25 May → | ||
| 14–16 | 0.04 | 17% | 25 May → | ||
| 6–13 | -0.04 | 8% | 25 May → | ||
| 13–7 | 0.02 | 13% | 25 May → | ||
| 8–13 | -0.02 | 6% | 25 May → | ||
| 13–4 | 0.06 | 10% | 24 May → | ||
| 14–16 | 0.01 | 20% | 24 May → | ||
| 10–13 | 0.06 | 7% | 24 May → | ||
| 6–13 | 0.09 | 15% | 24 May → | ||
| 13–3 | 0.11 | 22% | 24 May → | ||
| 6–13 | -0.03 | 10% | 16 May → | ||
| 13–4 | 0.03 | 16% | 16 May → | ||
| office | 13–2 | 0.14 | 9% | 16 May → | |
| 13–0 | 0.21 | 20% | 10 May → | ||
| 2–13 | -0.04 | 22% | 10 May → | ||
| 9–13 | 0.04 | 19% | 13 Apr → | ||
| 5–13 | 0.05 | 36% | 13 Apr → | ||
| 13–2 | 0.12 | 14% | 13 Apr → | ||
| 5–0 | 0.00 | 14% | 11 Apr → | ||
| 2–13 | -0.02 | 9% | 9 Apr → | ||
| 13–8 | 0.04 | 15% | 9 Apr → | ||
| 13–8 | 0.07 | 15% | 8 Apr → | ||
| 8–13 | -0.02 | 6% | 8 Apr → | ||
| 13–11 | 0.12 | 14% | 30 Mar → | ||
| 13–7 | 0.05 | 19% | 30 Mar → | ||
| 13–8 | 0.10 | 10% | 2 Mar → | ||
| 10–13 | 0.01 | 15% | 2 Mar → | ||
| 13–5 | -0.00 | 15% | 25 Feb → | ||
| 16–14 | 0.00 | 15% | 23 Feb → | ||
| 13–2 | 0.05 | 10% | 23 Feb → | ||
| 6–13 | -0.00 | 6% | 16 Feb → | ||
| 4–13 | -0.06 | 21% | 16 Feb → | ||
| 5–13 | -0.07 | 17% | 16 Feb → | ||
| 1–13 | -0.04 | 18% | 16 Feb → | ||
| 0–13 | -0.08 | 24% | 16 Feb → | ||
| 13–6 | 0.18 | 16% | 30 Jan → | ||
| 13–6 | 0.14 | 8% | 30 Jan → | ||
| 13–4 | 0.06 | 12% | 30 Jan → | ||
| 13–7 | 0.07 | 11% | 30 Jan → | ||
| 13–8 | -0.02 | 10% | 30 Jan → | ||
| 7–13 | -0.03 | 8% | 30 Jan → | ||
| 11–13 | 0.00 | 9% | 19 Jan → | ||
| 13–10 | -0.03 | 17% | 19 Jan → | ||
| 6–13 | 0.00 | 15% | 27 Dec → | ||
| 16–13 | 0.04 | 14% | 27 Dec → |
Match data via Leetify.