PI1 — CS2 Stats
76561198983389109[U:1:1023123381]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 88% 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. 598ms 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 5.7/10 (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 |
|---|---|---|---|---|---|
| A | 29 | 16–13 | 55% | 0.01 | |
| A | 17 | 10–7 | 59% | -0.01 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| D | 14 | 2–12 | 14% | -0.01 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.06 | |
| — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (14% over 14). 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 954 | 54% | 0.98 | 14.7 |
| Anubis | 492 | 55% | 1.09 | 15.7 |
| Inferno | 405 | 47% | 0.97 | 15.1 |
| Ancient | 379 | 45% | 0.98 | 15.5 |
| Dust2 | 299 | 41% | 0.93 | 14.4 |
| Nuke | 108 | 38% | 0.88 | 14.2 |
| Overpass | 53 | 47% | 0.96 | 14.9 |
| Cache | 22 | 50% | 1.10 | 18.2 |
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 34.4033% — 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.
14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.01 | 10% | 28 Aug → | ||
| 7–13 | -0.01 | 13% | 27 Aug → | ||
| 13–6 | 0.09 | 11% | 27 Aug → | ||
| 13–10 | 0.02 | 10% | 27 Aug → | ||
| 9–13 | -0.01 | 26% | 27 Aug → | ||
| 6–13 | -0.06 | 8% | 26 Aug → | ||
| 13–10 | 0.04 | 21% | 25 Aug → | ||
| 13–4 | 0.02 | 7% | 25 Aug → | ||
| 8–13 | -0.08 | 22% | 25 Aug → | ||
| 10–13 | -0.01 | 22% | 25 Aug → | ||
| 13–6 | 0.08 | 14% | 25 Aug → | ||
| 6–13 | -0.08 | 29% | 25 Aug → | ||
| 10–13 | -0.06 | 29% | 25 Aug → | ||
| 13–8 | 0.00 | 21% | 25 Aug → | ||
| 13–7 | -0.02 | 11% | 24 Aug → | ||
| 9–13 | 0.03 | 18% | 23 Aug → | ||
| 7–13 | -0.01 | 17% | 22 Aug → | ||
| 13–9 | 0.05 | 18% | 21 Aug → | ||
| 9–13 | 0.05 | 15% | 20 Aug → | ||
| 13–9 | 0.00 | 30% | 20 Aug → | ||
| 13–5 | 0.12 | 26% | 20 Aug → | ||
| 8–13 | -0.01 | 6% | 20 Aug → | ||
| 13–3 | 0.07 | 33% | 20 Aug → | ||
| 13–1 | 0.10 | 21% | 20 Aug → | ||
| 8–13 | 0.04 | 25% | 19 Aug → | ||
| 13–5 | 0.08 | 22% | 19 Aug → | ||
| 13–7 | 0.02 | 29% | 19 Aug → | ||
| 13–8 | 0.00 | 26% | 19 Aug → | ||
| 13–11 | -0.03 | 17% | 19 Aug → | ||
| 10–13 | 0.01 | 13% | 19 Aug → | ||
| 12–16 | -0.02 | 15% | 18 Aug → | ||
| 11–13 | -0.03 | 15% | 17 Aug → | ||
| 13–9 | 0.07 | 17% | 16 Aug → | ||
| 13–7 | 0.03 | 16% | 15 Aug → | ||
| 3–9 | -0.17 | 25% | 14 Aug → | ||
| 11–13 | 0.02 | 11% | 14 Aug → | ||
| 8–13 | -0.05 | 12% | 14 Aug → | ||
| 13–9 | -0.03 | 19% | 14 Aug → | ||
| 13–9 | 0.00 | 15% | 13 Aug → | ||
| 8–13 | -0.01 | 24% | 13 Aug → | ||
| 16–13 | -0.05 | 18% | 13 Aug → | ||
| 8–13 | -0.00 | 34% | 12 Aug → | ||
| 19–22 | 0.00 | 14% | 12 Aug → | ||
| 8–13 | -0.02 | 20% | 11 Aug → | ||
| 14–16 | 0.03 | 22% | 11 Aug → | ||
| 13–7 | 0.04 | 17% | 11 Aug → | ||
| 6–13 | 0.02 | 18% | 10 Aug → | ||
| 19–17 | -0.00 | 21% | 9 Aug → | ||
| 13–11 | -0.03 | 17% | 6 Aug → | ||
| 17–19 | -0.01 | 21% | 6 Aug → | ||
| 6–13 | -0.02 | 19% | 6 Aug → | ||
| 13–11 | 0.03 | 16% | 5 Aug → | ||
| 16–12 | 0.06 | 20% | 5 Aug → | ||
| 13–8 | 0.00 | 11% | 5 Aug → | ||
| 11–13 | 0.01 | 19% | 5 Aug → | ||
| 13–11 | -0.03 | 11% | 5 Aug → | ||
| 7–13 | 0.07 | 35% | 3 Aug → | ||
| 10–13 | 0.08 | 14% | 3 Aug → | ||
| 2–13 | -0.06 | 5% | 3 Aug → | ||
| 4–13 | 0.03 | 17% | 1 Aug → | ||
| 7–13 | 0.00 | 27% | 1 Aug → | ||
| 13–5 | -0.00 | 23% | 31 Jul → | ||
| 5–13 | 0.02 | 17% | 31 Jul → | ||
| 9–13 | -0.01 | 14% | 31 Jul → | ||
| 13–7 | 0.05 | 14% | 30 Jul → | ||
| 7–13 | 0.03 | 17% | 30 Jul → | ||
| 13–2 | -0.01 | 23% | 30 Jul → | ||
| 19–15 | 0.04 | 21% | 30 Jul → | ||
| 6–13 | -0.05 | 26% | 30 Jul → | ||
| 13–4 | 0.13 | 17% | 28 Jul → | ||
| 13–9 | 0.00 | 28% | 28 Jul → | ||
| 17–19 | -0.00 | 13% | 28 Jul → | ||
| 5–13 | -0.08 | 16% | 26 Jul → | ||
| 13–4 | 0.11 | 32% | 26 Jul → | ||
| 13–6 | 0.04 | 20% | 26 Jul → | ||
| 13–7 | -0.01 | 27% | 26 Jul → | ||
| 11–13 | 0.00 | 21% | 25 Jul → | ||
| 13–11 | 0.02 | 15% | 25 Jul → | ||
| 13–7 | 0.03 | 19% | 25 Jul → | ||
| 16–14 | -0.01 | 14% | 25 Jul → | ||
| 11–13 | 0.01 | 25% | 25 Jul → | ||
| 8–13 | -0.05 | 12% | 25 Jul → | ||
| 4–13 | -0.04 | 11% | 23 Jul → | ||
| 6–13 | -0.06 | 11% | 22 Jul → | ||
| 13–16 | 0.01 | 21% | 22 Jul → | ||
| 8–8 | -0.11 | 23% | 22 Jul → | ||
| 13–6 | 0.09 | 22% | 22 Jul → | ||
| 16–13 | -0.00 | 15% | 20 Jul → | ||
| 13–11 | -0.06 | 5% | 19 Jul → | ||
| 13–7 | 0.01 | 16% | 19 Jul → | ||
| 5–13 | -0.00 | 29% | 19 Jul → | ||
| 13–9 | 0.15 | 23% | 19 Jul → | ||
| 10–13 | -0.01 | 28% | 19 Jul → | ||
| 13–9 | 0.00 | 12% | 19 Jul → | ||
| 8–13 | -0.00 | 19% | 18 Jul → | ||
| 13–9 | -0.01 | 16% | 18 Jul → | ||
| 11–13 | 0.04 | 33% | 18 Jul → | ||
| 5–13 | -0.00 | 14% | 18 Jul → | ||
| 13–10 | 0.03 | 24% | 17 Jul → | ||
| 11–13 | 0.01 | 38% | 17 Jul → |
Match data via Leetify.
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