-pako — CS2 Stats
76561198809216832[U:1:848951104]
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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.
Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes
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 sh1ro 95% playstyle similarity
Most alike: opening-fight frequency, 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. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
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 62% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 595ms 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 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 24 | 18–6 | 75% | 0.07 | |
| S | 20 | 16–4 | 80% | 0.06 | |
| B | 13 | 7–6 | 54% | -0.01 | |
| S | 11 | 10–1 | 91% | 0.09 | |
| B | 6 | 3–3 | 50% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| grail | A | 5 | 3–2 | 60% | 0.11 |
| — | 4 | 3–1 | 75% | 0.11 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| whistle | — | 3 | 0–3 | 0% | -0.01 |
| — | 2 | 1–1 | 50% | 0.01 | |
| assembly | — | 2 | 2–0 | 100% | 0.15 |
| edin | — | 1 | 0–1 | 0% | 0.16 |
| memento | — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 625 | 53% | 1.19 | 16.0 |
| Ancient | 525 | 57% | 1.20 | 16.4 |
| Nuke | 310 | 58% | 1.17 | 16.1 |
| Anubis | 149 | 49% | 1.13 | 15.5 |
| Vertigo | 95 | 57% | 1.18 | 16.8 |
| Train | 60 | 52% | 1.13 | 16.6 |
| Dust2 | 55 | 38% | 0.99 | 14.4 |
| Overpass | 30 | 67% | 1.22 | 16.9 |
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.
- 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 37.2385% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.09 | 15% | 12 Aug → | ||
| 13–9 | 0.01 | 17% | 4 Aug → | ||
| 13–3 | 0.09 | 17% | 27 Jul → | ||
| 6–9 | -0.12 | 13% | 15 Jun → | ||
| 9–2 | 0.11 | 60% | 15 Jun → | ||
| 9–0 | 0.24 | 35% | 10 Jun → | ||
| 10–13 | -0.01 | 15% | 20 May → | ||
| 16–19 | -0.00 | 20% | 19 May → | ||
| 13–7 | 0.02 | 21% | 7 Apr → | ||
| 10–13 | 0.04 | 34% | 7 Apr → | ||
| 9–13 | 0.14 | 41% | 21 Mar → | ||
| 9–4 | 0.15 | 13% | 21 Mar → | ||
| 11–13 | 0.09 | 35% | 14 Mar → | ||
| 13–0 | 0.13 | 31% | 14 Mar → | ||
| 13–10 | -0.02 | 22% | 2 Feb → | ||
| 7–13 | -0.04 | 24% | 11 Dec → | ||
| 13–5 | 0.04 | 39% | 6 Dec → | ||
| 13–11 | 0.01 | 29% | 3 Dec → | ||
| 4–13 | 0.06 | 18% | 22 Oct → | ||
| 8–13 | -0.01 | 20% | 19 Oct → | ||
| 13–9 | 0.03 | 16% | 12 Oct → | ||
| 13–11 | 0.07 | 21% | 4 Oct → | ||
| 8–13 | -0.05 | 20% | 30 Sept → | ||
| 13–1 | 0.04 | 10% | 28 Sept → | ||
| 13–6 | -0.00 | 24% | 27 Sept → | ||
| 10–13 | 0.04 | 29% | 26 Sept → | ||
| 13–6 | 0.02 | 25% | 25 Sept → | ||
| 13–9 | 0.06 | 17% | 25 Sept → | ||
| 13–1 | 0.12 | 25% | 25 Sept → | ||
| 13–3 | 0.07 | 22% | 25 Sept → | ||
| 13–9 | 0.02 | 24% | 25 Sept → | ||
| 22–20 | 0.01 | 24% | 21 Sept → | ||
| 8–13 | -0.03 | 23% | 11 Sept → | ||
| 13–1 | 0.01 | 29% | 7 Sept → | ||
| 10–13 | -0.01 | 21% | 24 Aug → | ||
| 19–17 | -0.04 | 17% | 21 Aug → | ||
| 6–9 | 0.02 | 20% | 2 Aug → | ||
| 9–3 | 0.03 | 14% | 2 Aug → | ||
| 9–1 | 0.18 | 19% | 26 Jul → | ||
| grail | 13–2 | 0.14 | 32% | 18 May → | |
| grail | 13–7 | 0.22 | 16% | 16 May → | |
| 13–8 | -0.03 | 13% | 15 May → | ||
| grail | 10–13 | 0.12 | 10% | 13 May → | |
| grail | 8–13 | -0.04 | 30% | 13 May → | |
| grail | 13–10 | 0.10 | 29% | 12 May → | |
| 1–13 | -0.14 | 9% | 6 May → | ||
| 13–9 | 0.02 | 33% | 29 Apr → | ||
| 13–1 | 0.10 | 24% | 12 Apr → | ||
| 10–13 | 0.04 | 13% | 19 Mar → | ||
| 13–8 | 0.00 | 16% | 14 Mar → | ||
| 13–2 | 0.10 | 30% | 5 Mar → | ||
| 9–5 | 0.17 | 32% | 5 Mar → | ||
| 9–2 | 0.14 | 32% | 5 Mar → | ||
| 11–13 | 0.07 | 14% | 28 Feb → | ||
| 9–13 | -0.02 | 22% | 27 Feb → | ||
| 13–11 | 0.10 | 28% | 22 Feb → | ||
| 17–19 | -0.01 | 24% | 18 Feb → | ||
| 13–5 | 0.18 | 39% | 11 Feb → | ||
| 9–6 | 0.08 | 22% | 11 Feb → | ||
| edin | 11–13 | 0.16 | 30% | 10 Feb → | |
| 9–3 | 0.19 | 38% | 10 Feb → | ||
| 9–5 | 0.14 | 23% | 10 Feb → | ||
| 12–12 | 0.07 | 26% | 9 Feb → | ||
| 13–9 | 0.08 | 33% | 9 Feb → | ||
| 10–4 | 0.02 | 24% | 9 Feb → | ||
| whistle | 5–9 | -0.04 | 18% | 9 Feb → | |
| 9–2 | 0.17 | 19% | 9 Feb → | ||
| 13–6 | 0.02 | 29% | 2 Feb → | ||
| 3–9 | -0.15 | 16% | 2 Feb → | ||
| 9–5 | 0.11 | 26% | 2 Feb → | ||
| 13–6 | 0.09 | 36% | 19 Jan → | ||
| 13–4 | 0.05 | 47% | 19 Jan → | ||
| 13–8 | 0.07 | 25% | 19 Jan → | ||
| 9–4 | 0.19 | 24% | 19 Jan → | ||
| 13–7 | 0.15 | 21% | 16 Jan → | ||
| 8–8 | 0.12 | 33% | 16 Jan → | ||
| whistle | 5–8 | 0.02 | 10% | 16 Jan → | |
| 4–9 | -0.04 | 30% | 13 Jan → | ||
| 13–7 | 0.07 | 24% | 13 Jan → | ||
| 9–5 | 0.03 | 31% | 12 Jan → | ||
| 9–5 | 0.12 | 22% | 12 Jan → | ||
| 9–6 | 0.06 | 14% | 12 Jan → | ||
| 13–11 | 0.12 | 22% | 12 Jan → | ||
| 13–9 | 0.08 | 50% | 12 Jan → | ||
| 13–9 | 0.08 | 36% | 12 Jan → | ||
| 9–2 | 0.10 | 26% | 12 Jan → | ||
| 9–4 | 0.07 | 23% | 10 Jan → | ||
| 8–8 | 0.01 | 11% | 10 Jan → | ||
| 13–3 | 0.06 | 31% | 7 Jan → | ||
| 13–8 | -0.01 | 24% | 7 Jan → | ||
| whistle | 8–8 | -0.02 | 15% | 7 Jan → | |
| 8–13 | -0.01 | 24% | 17 Dec → | ||
| 13–3 | 0.03 | 21% | 6 Dec → | ||
| 13–4 | 0.20 | 18% | 5 Dec → | ||
| 16–14 | 0.02 | 23% | 16 Nov → | ||
| memento | 9–6 | 0.12 | 26% | 13 Nov → | |
| assembly | 9–7 | 0.11 | 16% | 13 Nov → | |
| 9–5 | 0.16 | 15% | 13 Nov → | ||
| assembly | 9–4 | 0.18 | 20% | 30 Oct → | |
| 7–9 | 0.01 | 46% | 30 Oct → |
Match data via Leetify.