OGparker — CS2 Stats
76561198047702099[U:1:87436371]
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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.
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 b1t 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
Areas to improve
Reaction time. 601ms 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 6.4/10 (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 80 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 |
|---|---|---|---|---|---|
 inferno | A | 21 | 12–9 | 57% | 0.03 |
 dust2 | A | 19 | 11–8 | 58% | 0.03 |
 nuke | B | 17 | 8–9 | 47% | 0.05 |
 anubis | A | 7 | 4–3 | 57% | 0.06 |
 ancient | S | 6 | 4–2 | 67% | 0.03 |
 overpass | — | 4 | 3–1 | 75% | 0.03 |
 train | — | 3 | 1–2 | 33% | 0.08 |
 mirage | — | 2 | 0–2 | 0% | -0.01 |
| office | — | 1 | 1–0 | 100% | 0.00 |
Across the last 80 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 457 | 54% | 1.52 | 20.6 |
| Inferno | 256 | 52% | 1.48 | 20.8 |
| Nuke | 194 | 54% | 1.55 | 21.6 |
| Vertigo | 98 | 56% | 1.55 | 21.8 |
| Anubis | 85 | 39% | 1.27 | 19.5 |
| Train | 72 | 50% | 1.57 | 20.6 |
| Mirage | 58 | 36% | 1.13 | 17.9 |
| Ancient | 45 | 42% | 1.28 | 19.2 |
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 37.3157% — 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.
47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–7 | 0.03 | 17% | 29 Aug → | |
| dust2 | 6–13 | -0.00 | 25% | 25 Aug → | |
| dust2 | 8–13 | -0.00 | 16% | 13 Jul → | |
| anubis | 11–13 | -0.03 | 35% | 8 Jul → | |
| anubis | 10–13 | 0.00 | 15% | 16 May → | |
| nuke | 13–3 | 0.06 | 24% | 16 May → | |
| inferno | 13–10 | 0.01 | 18% | 14 May → | |
| nuke | 13–9 | -0.01 | 20% | 12 May → | |
| anubis | 3–13 | 0.10 | 20% | 9 Apr → | |
| inferno | 13–10 | 0.05 | 22% | 9 Apr → | |
| overpass | 13–11 | -0.00 | 18% | 9 Apr → | |
| anubis | 13–8 | 0.05 | 22% | 28 Mar → | |
| overpass | 13–4 | 0.06 | 26% | 27 Mar → | |
| inferno | 4–13 | -0.02 | 21% | 27 Mar → | |
| dust2 | 6–13 | -0.02 | 33% | 23 Mar → | |
| dust2 | 13–5 | 0.05 | 26% | 12 Mar → | |
| nuke | 13–2 | 0.13 | 43% | 12 Mar → | |
| overpass | 13–0 | 0.11 | 8% | 4 Mar → | |
| nuke | 7–13 | 0.08 | 23% | 28 Feb → | |
| nuke | 9–13 | 0.02 | 20% | 26 Feb → | |
| nuke | 13–16 | -0.01 | 17% | 13 Feb → | |
| dust2 | 13–9 | -0.04 | 14% | 30 Jan → | |
| inferno | 13–5 | 0.11 | 25% | 19 Jan → | |
| nuke | 6–13 | -0.02 | 31% | 25 Dec → | |
| dust2 | 13–7 | 0.09 | 21% | 24 Dec → | |
| dust2 | 6–13 | -0.06 | 19% | 23 Dec → | |
| overpass | 6–13 | -0.04 | 35% | 23 Dec → | |
| dust2 | 8–13 | 0.10 | 22% | 22 Dec → | |
| dust2 | 13–6 | 0.07 | 22% | 22 Dec → | |
| inferno | 9–13 | 0.04 | 25% | 7 Nov → | |
| train | 13–16 | 0.08 | 28% | 30 Oct → | |
| dust2 | 13–10 | 0.02 | 26% | 30 Oct → | |
| inferno | 13–8 | 0.06 | 34% | 18 Oct → | |
| nuke | 13–11 | 0.05 | 43% | 10 Oct → | |
| inferno | 16–14 | 0.02 | 16% | 10 Oct → | |
| inferno | 19–22 | 0.01 | 27% | 4 Oct → | |
| dust2 | 6–13 | -0.01 | 33% | 27 Sept → | |
| dust2 | 13–10 | 0.03 | 31% | 27 Sept → | |
| dust2 | 16–14 | 0.01 | 15% | 26 Sept → | |
| ancient | 11–13 | 0.01 | 40% | 25 Sept → | |
| nuke | 8–13 | 0.00 | 23% | 16 Jul → | |
| ancient | 16–14 | 0.07 | 12% | 10 Jul → | |
| anubis | 13–11 | 0.13 | 22% | 4 Jul → | |
| inferno | 8–13 | 0.03 | 30% | 29 Jun → | |
| nuke | 19–17 | 0.09 | 17% | 28 Jun → | |
| dust2 | 9–13 | 0.01 | 24% | 28 Jun → | |
| inferno | 16–13 | 0.05 | 22% | 27 Jun → | |
| inferno | 10–13 | 0.03 | 37% | 15 Jun → | |
| inferno | 16–19 | 0.01 | 21% | 15 Jun → | |
| inferno | 13–6 | 0.02 | 34% | 13 Jun → | |
| inferno | 13–7 | 0.01 | 25% | 5 Jun → | |
| ancient | 22–18 | -0.00 | 21% | 2 Jun → | |
| nuke | 13–5 | 0.07 | 27% | 1 Jun → | |
| nuke | 10–13 | 0.02 | 17% | 30 May → | |
| mirage | 8–13 | 0.01 | 18% | 28 May → | |
| inferno | 13–3 | 0.09 | 26% | 23 May → | |
| inferno | 4–13 | -0.04 | 41% | 19 May → | |
| mirage | 2–13 | -0.02 | 69% | 19 May → | |
| anubis | 13–7 | 0.10 | 22% | 19 May → | |
| nuke | 7–13 | -0.02 | 21% | 4 May → | |
| dust2 | 6–13 | 0.03 | 25% | 4 May → | |
| dust2 | 13–6 | 0.07 | 24% | 19 Apr → | |
| ancient | 10–13 | 0.09 | 21% | 4 Apr → | |
| ancient | 13–10 | 0.01 | 19% | 25 Mar → | |
| dust2 | 13–8 | 0.13 | 13% | 24 Mar → | |
| inferno | 16–14 | 0.04 | 20% | 21 Mar → | |
| train | 13–10 | 0.09 | 19% | 19 Mar → | |
| ancient | 13–11 | 0.03 | 21% | 14 Mar → | |
| inferno | 16–13 | 0.09 | 31% | 26 Feb → | |
| inferno | 13–7 | 0.04 | 33% | 15 Feb → | |
| inferno | 8–13 | -0.04 | 21% | 13 Feb → | |
| nuke | 4–13 | 0.07 | 27% | 11 Feb → | |
| dust2 | 13–5 | 0.07 | 22% | 3 Feb → | |
| train | 11–13 | 0.08 | 35% | 20 Jan → | |
| nuke | 13–9 | 0.07 | 21% | 19 Jan → | |
| dust2 | 13–8 | -0.02 | 23% | 17 Jan → | |
| office | 13–3 | 0.00 | 41% | 17 Jan → | |
| nuke | 7–13 | 0.05 | 29% | 16 Jan → | |
| nuke | 13–5 | 0.16 | 22% | 11 Jan → | |
| inferno | 8–13 | 0.02 | 26% | 4 Jan → |
Match data via Leetify.