Pk — CS2 Stats
76561198272406370[U:1:312140642]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 NiKo 90% playstyle similarity
Most alike: opening-duel success, utility contribution.
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
T-side openings. Opening success drops from 45% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 584ms 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 5.9/10 (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 |
|---|---|---|---|---|---|
| A | 28 | 18–10 | 64% | 0.01 | |
| B | 18 | 9–9 | 50% | 0.00 | |
| A | 18 | 10–8 | 56% | 0.01 | |
| B | 14 | 7–7 | 50% | -0.01 | |
| B | 13 | 6–7 | 46% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 36% | 0.93 | 14.6 |
| Nuke | 8 | 38% | 1.06 | 19.3 |
| Ancient | 8 | 62% | 1.07 | 18.5 |
| Cache | 7 | 57% | 1.20 | 15.1 |
| Dust2 | 7 | 29% | 1.13 | 14.6 |
| Inferno | 6 | 33% | 1.08 | 17.5 |
| Anubis | 4 | 50% | 0.69 | 13.5 |
| Overpass | 1 | 100% | 1.91 | 21.0 |
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.
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 12.0651% — below the 15% 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 28.7629% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.01 | 8% | 23 Aug → | ||
| 3–13 | -0.01 | 7% | 23 Aug → | ||
| 8–13 | 0.00 | 14% | 23 Aug → | ||
| 3–13 | -0.09 | 11% | 21 Aug → | ||
| 14–16 | 0.01 | 14% | 17 Aug → | ||
| 13–11 | -0.01 | 6% | 12 Aug → | ||
| 11–13 | -0.03 | 10% | 12 Aug → | ||
| 5–13 | -0.02 | 20% | 12 Aug → | ||
| 13–10 | -0.01 | 12% | 5 Aug → | ||
| 13–11 | -0.01 | 7% | 5 Aug → | ||
| 13–9 | -0.03 | 18% | 21 Jul → | ||
| 10–13 | -0.02 | 18% | 21 Jul → | ||
| 16–12 | 0.01 | 23% | 20 Jul → | ||
| 13–5 | -0.07 | 5% | 20 Jul → | ||
| 5–13 | -0.05 | 18% | 20 Jul → | ||
| 13–11 | -0.09 | 25% | 17 Jul → | ||
| 13–10 | 0.00 | 13% | 17 Jul → | ||
| 13–5 | 0.02 | 10% | 15 Jul → | ||
| 13–10 | 0.00 | 11% | 15 Jul → | ||
| 6–13 | -0.08 | 12% | 15 Jul → | ||
| 13–10 | 0.08 | 12% | 10 Jul → | ||
| 13–4 | 0.09 | 9% | 9 Jul → | ||
| 13–3 | 0.02 | 13% | 9 Jul → | ||
| 11–13 | -0.01 | 11% | 9 Jul → | ||
| 13–9 | -0.01 | 8% | 3 Jul → | ||
| 11–13 | 0.00 | 4% | 3 Jul → | ||
| 13–4 | 0.02 | 4% | 3 Jul → | ||
| 13–7 | 0.09 | 14% | 2 Jul → | ||
| 13–16 | -0.02 | 8% | 2 Jul → | ||
| 13–6 | 0.08 | 14% | 2 Jul → | ||
| 9–13 | -0.04 | 10% | 30 Jun → | ||
| 13–6 | 0.03 | 19% | 30 Jun → | ||
| 2–13 | -0.05 | 16% | 28 Jun → | ||
| 11–13 | 0.05 | 16% | 28 Jun → | ||
| 10–13 | -0.01 | 19% | 28 Jun → | ||
| 13–9 | -0.03 | 6% | 28 Jun → | ||
| 13–6 | -0.02 | 8% | 27 Jun → | ||
| 13–11 | -0.02 | 14% | 27 Jun → | ||
| 9–13 | 0.03 | 14% | 27 Jun → | ||
| 13–5 | 0.05 | 12% | 25 Jun → | ||
| 8–13 | -0.04 | 13% | 25 Jun → | ||
| 13–1 | 0.03 | 8% | 23 Jun → | ||
| 5–13 | -0.04 | 7% | 23 Jun → | ||
| 9–13 | 0.03 | 9% | 23 Jun → | ||
| 13–6 | -0.01 | 12% | 22 Jun → | ||
| 3–13 | -0.06 | 8% | 22 Jun → | ||
| 13–16 | -0.03 | 2% | 21 Jun → | ||
| 13–7 | 0.03 | 11% | 21 Jun → | ||
| 13–8 | -0.01 | 13% | 21 Jun → | ||
| 16–13 | 0.01 | 9% | 21 Jun → | ||
| 13–5 | 0.01 | 6% | 21 Jun → | ||
| 13–8 | -0.03 | 10% | 19 Jun → | ||
| 8–13 | -0.03 | 16% | 18 Jun → | ||
| 13–9 | 0.03 | 3% | 18 Jun → | ||
| 13–11 | -0.04 | 10% | 17 Jun → | ||
| 7–13 | -0.08 | 5% | 16 Jun → | ||
| 3–13 | -0.09 | 0% | 16 Jun → | ||
| 5–13 | -0.09 | 11% | 16 Jun → | ||
| 13–9 | -0.03 | 18% | 16 Jun → | ||
| 13–11 | 0.06 | 10% | 15 Jun → | ||
| 3–13 | 0.04 | 9% | 15 Jun → | ||
| 13–5 | 0.04 | 10% | 15 Jun → | ||
| 4–13 | -0.05 | 8% | 15 Jun → | ||
| 13–6 | -0.03 | 16% | 10 Jun → | ||
| 9–13 | -0.01 | 15% | 10 Jun → | ||
| 23–25 | -0.00 | 14% | 8 Jun → | ||
| 7–13 | -0.01 | 13% | 8 Jun → | ||
| 19–17 | 0.02 | 7% | 8 Jun → | ||
| 17–19 | 0.05 | 3% | 7 Jun → | ||
| 13–11 | -0.01 | 10% | 7 Jun → | ||
| 13–8 | 0.06 | 9% | 6 Jun → | ||
| 8–13 | -0.06 | 10% | 6 Jun → | ||
| 10–13 | -0.08 | 11% | 5 Jun → | ||
| 13–8 | -0.02 | 8% | 5 Jun → | ||
| 13–8 | 0.02 | 16% | 4 Jun → | ||
| 13–8 | 0.05 | 13% | 4 Jun → | ||
| 13–11 | -0.07 | 9% | 2 Jun → | ||
| 10–13 | 0.07 | 11% | 2 Jun → | ||
| 4–13 | 0.04 | 7% | 2 Jun → | ||
| 5–13 | 0.01 | 10% | 31 May → | ||
| 13–4 | 0.07 | 23% | 31 May → | ||
| 13–5 | 0.05 | 8% | 31 May → | ||
| 13–3 | 0.01 | 4% | 31 May → | ||
| 11–13 | -0.00 | 17% | 31 May → | ||
| 11–13 | 0.05 | 18% | 30 May → | ||
| 13–7 | 0.04 | 9% | 30 May → | ||
| 9–13 | 0.06 | 12% | 30 May → | ||
| 13–5 | 0.04 | 9% | 30 May → | ||
| 13–11 | 0.03 | 9% | 30 May → | ||
| 13–11 | -0.05 | 17% | 27 May → | ||
| 13–7 | 0.18 | 23% | 24 May → | ||
| 13–8 | 0.06 | 13% | 22 May → | ||
| 9–13 | -0.04 | 11% | 22 May → | ||
| 9–13 | -0.06 | 11% | 21 May → | ||
| 6–13 | -0.03 | 8% | 21 May → | ||
| 5–13 | -0.05 | 0% | 21 May → | ||
| 16–14 | -0.05 | 12% | 20 May → | ||
| 8–13 | -0.00 | 5% | 20 May → | ||
| 13–8 | -0.06 | 9% | 18 May → | ||
| 7–13 | -0.05 | 3% | 18 May → |
Match data via Leetify.