KylePog1 — CS2 Stats
76561198124433872[U:1:164168144]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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-duel success, positioning profile.
Where you differ: lower aim profile; lower 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
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
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 47% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 650ms 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 |
|---|---|---|---|---|---|
| B | 19 | 9–10 | 47% | 0.00 | |
| D | 15 | 5–10 | 33% | -0.02 | |
| B | 14 | 7–7 | 50% | -0.00 | |
| B | 13 | 6–7 | 46% | 0.01 | |
| A | 13 | 8–5 | 62% | 0.01 | |
| A | 11 | 7–4 | 64% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 0–3 | 0% | 0.02 | |
| edin | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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 26.2507% — 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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.01 | 19% | 17 Aug → | ||
| 10–13 | -0.02 | 27% | 16 Aug → | ||
| 16–14 | -0.01 | 14% | 16 Aug → | ||
| 13–3 | -0.02 | 22% | 16 Aug → | ||
| 3–13 | -0.05 | 32% | 15 Aug → | ||
| 13–5 | 0.00 | 13% | 15 Aug → | ||
| 13–6 | 0.02 | 17% | 15 Aug → | ||
| 15–15 | -0.00 | 19% | 15 Aug → | ||
| 4–13 | -0.01 | 16% | 15 Aug → | ||
| 5–13 | -0.07 | 35% | 15 Aug → | ||
| 13–11 | -0.00 | 25% | 11 Aug → | ||
| 16–12 | -0.06 | 27% | 11 Aug → | ||
| 13–11 | -0.02 | 20% | 9 Aug → | ||
| 8–13 | -0.05 | 32% | 9 Aug → | ||
| 4–13 | -0.09 | 11% | 9 Aug → | ||
| 7–13 | -0.02 | 23% | 9 Aug → | ||
| 2–13 | -0.02 | 42% | 9 Aug → | ||
| 10–13 | -0.01 | 26% | 9 Aug → | ||
| 4–13 | -0.05 | 55% | 7 Aug → | ||
| 13–7 | 0.04 | 18% | 7 Aug → | ||
| 13–6 | -0.01 | 22% | 5 Aug → | ||
| 4–13 | 0.06 | 30% | 5 Aug → | ||
| 15–15 | -0.05 | 15% | 5 Aug → | ||
| 13–11 | -0.00 | 21% | 5 Aug → | ||
| 13–4 | 0.04 | 41% | 4 Aug → | ||
| 13–6 | 0.03 | 29% | 3 Aug → | ||
| 10–13 | -0.03 | 22% | 3 Aug → | ||
| 1–13 | -0.08 | 31% | 2 Aug → | ||
| 15–15 | 0.07 | 27% | 20 Jul → | ||
| 7–13 | -0.05 | 38% | 20 Jul → | ||
| 13–6 | 0.05 | 23% | 20 Jul → | ||
| 13–11 | -0.03 | 7% | 20 Jul → | ||
| 13–7 | -0.04 | 11% | 18 Jul → | ||
| 11–13 | -0.02 | 16% | 18 Jul → | ||
| 13–10 | -0.03 | 29% | 18 Jul → | ||
| 13–10 | -0.01 | 13% | 18 Jul → | ||
| 13–8 | 0.05 | 29% | 18 Jul → | ||
| 10–13 | 0.03 | 16% | 18 Jul → | ||
| 11–13 | -0.06 | 25% | 18 Jul → | ||
| 11–13 | 0.03 | 10% | 18 Jul → | ||
| 13–10 | 0.01 | 14% | 18 Jul → | ||
| 13–8 | -0.05 | 10% | 13 Jul → | ||
| 13–8 | 0.01 | 13% | 13 Jul → | ||
| 9–13 | 0.02 | 19% | 12 Jul → | ||
| 8–13 | -0.01 | 24% | 12 Jul → | ||
| 16–14 | -0.04 | 21% | 11 Jul → | ||
| 13–11 | 0.01 | 16% | 11 Jul → | ||
| 13–1 | 0.03 | 9% | 11 Jul → | ||
| 13–1 | 0.04 | 33% | 10 Jul → | ||
| 11–13 | -0.02 | 22% | 10 Jul → | ||
| 13–8 | 0.06 | 28% | 10 Jul → | ||
| 10–13 | -0.06 | 14% | 10 Jul → | ||
| 16–14 | 0.02 | 17% | 9 Jul → | ||
| 13–6 | -0.01 | 18% | 9 Jul → | ||
| 8–13 | 0.01 | 28% | 9 Jul → | ||
| 13–10 | -0.02 | 17% | 9 Jul → | ||
| 2–13 | -0.01 | 17% | 9 Jul → | ||
| 8–13 | -0.02 | 17% | 9 Jul → | ||
| 13–7 | 0.03 | 17% | 9 Jul → | ||
| 13–7 | -0.05 | 8% | 6 Jul → | ||
| 13–3 | 0.08 | 13% | 6 Jul → | ||
| 13–8 | -0.01 | 11% | 6 Jul → | ||
| 15–15 | -0.05 | 11% | 5 Jul → | ||
| 6–13 | -0.05 | 21% | 5 Jul → | ||
| 10–13 | -0.03 | 21% | 5 Jul → | ||
| 7–13 | 0.01 | 28% | 5 Jul → | ||
| 13–3 | -0.01 | 8% | 5 Jul → | ||
| 13–6 | -0.00 | 19% | 4 Jul → | ||
| 13–4 | -0.01 | 17% | 2 Jul → | ||
| 8–13 | -0.03 | 19% | 2 Jul → | ||
| 13–7 | 0.02 | 33% | 2 Jul → | ||
| 13–11 | 0.01 | 14% | 2 Jul → | ||
| 3–13 | 0.03 | 41% | 2 Jul → | ||
| 13–3 | 0.07 | 25% | 2 Jul → | ||
| 15–15 | 0.07 | 33% | 1 Jul → | ||
| 13–11 | 0.02 | 9% | 1 Jul → | ||
| 3–13 | -0.03 | 27% | 1 Jul → | ||
| 11–13 | 0.05 | 25% | 1 Jul → | ||
| 13–5 | 0.07 | 25% | 30 Jun → | ||
| 13–5 | -0.01 | 28% | 30 Jun → | ||
| 10–13 | 0.00 | 7% | 30 Jun → | ||
| 13–7 | 0.03 | 17% | 30 Jun → | ||
| 10–13 | -0.01 | 15% | 29 Jun → | ||
| 6–13 | -0.01 | 27% | 29 Jun → | ||
| 13–8 | 0.04 | 11% | 29 Jun → | ||
| 13–10 | -0.01 | 18% | 17 Feb → | ||
| 0–13 | -0.03 | 9% | 27 Jan → | ||
| 13–10 | 0.03 | 15% | 21 Jan → | ||
| 13–16 | 0.02 | 18% | 29 Dec → | ||
| edin | 10–13 | -0.05 | 9% | 22 Dec → | |
| 5–13 | -0.07 | 5% | 22 Dec → | ||
| 3–13 | -0.05 | 8% | 10 Dec → | ||
| 11–13 | -0.01 | 12% | 10 Dec → | ||
| 4–13 | 0.03 | 15% | 4 Dec → | ||
| 13–5 | 0.10 | 21% | 4 Dec → | ||
| 8–13 | 0.08 | 22% | 9 Aug → | ||
| 3–13 | -0.12 | 24% | 9 Aug → | ||
| 16–12 | 0.01 | 16% | 8 Aug → | ||
| 13–6 | 0.03 | 20% | 8 Aug → | ||
| 13–16 | 0.03 | 21% | 6 Aug → |
Match data via Leetify.