Ogzd — CS2 Stats
US76561198353516937[U:1:393251209]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 92% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 553ms 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 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 32 | 15–17 | 47% | 0.01 | |
| C | 23 | 9–14 | 39% | -0.02 | |
| C | 17 | 6–11 | 35% | -0.00 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| — | 3 | 0–3 | 0% | -0.01 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| — | 1 | 0–1 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.08 | |
| cbble | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 351 | 50% | 1.06 | 15.8 |
| Dust2 | 191 | 49% | 1.01 | 14.8 |
| Inferno | 156 | 49% | 1.17 | 17.0 |
| Ancient | 155 | 45% | 1.15 | 16.2 |
| Overpass | 67 | 40% | 1.02 | 14.6 |
| Nuke | 64 | 42% | 0.89 | 14.0 |
| Anubis | 30 | 43% | 0.97 | 15.8 |
| Train | 19 | 58% | 1.42 | 17.6 |
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 29.8075% — 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.
35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.06 | 24% | 28 Aug → | ||
| 13–9 | -0.01 | 12% | 26 Aug → | ||
| 13–10 | 0.08 | 25% | 26 Aug → | ||
| 8–13 | -0.04 | 19% | 26 Aug → | ||
| 9–13 | 0.01 | 15% | 26 Aug → | ||
| 13–9 | -0.04 | 6% | 25 Aug → | ||
| 13–6 | 0.04 | 17% | 25 Aug → | ||
| 13–6 | 0.03 | 16% | 21 Aug → | ||
| 14–16 | 0.08 | 15% | 21 Aug → | ||
| 13–10 | 0.01 | 17% | 19 Aug → | ||
| 13–4 | 0.04 | 9% | 13 Aug → | ||
| 10–13 | -0.06 | 14% | 12 Aug → | ||
| 13–4 | 0.02 | 22% | 12 Aug → | ||
| 9–13 | 0.05 | 21% | 12 Aug → | ||
| 5–13 | -0.05 | 28% | 12 Aug → | ||
| 9–13 | -0.10 | 33% | 11 Aug → | ||
| 11–13 | -0.01 | 19% | 11 Aug → | ||
| 9–13 | -0.02 | 18% | 7 Aug → | ||
| 4–13 | -0.03 | 20% | 7 Aug → | ||
| 9–13 | 0.03 | 30% | 5 Aug → | ||
| 8–13 | -0.02 | 26% | 5 Aug → | ||
| 6–13 | -0.04 | 37% | 29 Jul → | ||
| 13–9 | 0.02 | 15% | 29 Jul → | ||
| 8–13 | -0.01 | 21% | 29 Jul → | ||
| 13–11 | -0.00 | 20% | 27 Jul → | ||
| 13–2 | 0.04 | 20% | 27 Jul → | ||
| 16–14 | 0.02 | 21% | 26 Jul → | ||
| 10–13 | 0.03 | 15% | 26 Jul → | ||
| 3–13 | -0.02 | 18% | 26 Jul → | ||
| 11–13 | -0.03 | 20% | 25 Jul → | ||
| 7–13 | -0.05 | 22% | 21 Jul → | ||
| 13–16 | 0.04 | 20% | 20 Jul → | ||
| 13–10 | 0.05 | 12% | 20 Jul → | ||
| 13–7 | 0.04 | 32% | 20 Jul → | ||
| 7–13 | -0.06 | 23% | 20 Jul → | ||
| 13–7 | 0.03 | 13% | 20 Jul → | ||
| 13–9 | 0.05 | 18% | 19 Jul → | ||
| 13–16 | 0.02 | 20% | 18 Jul → | ||
| 5–13 | -0.08 | 6% | 11 Jul → | ||
| 13–9 | 0.12 | 29% | 11 Jul → | ||
| 11–13 | -0.03 | 33% | 11 Jul → | ||
| 9–13 | 0.03 | 31% | 6 Jul → | ||
| 9–13 | -0.03 | 21% | 5 Jul → | ||
| 13–7 | -0.00 | 27% | 5 Jul → | ||
| 9–13 | 0.01 | 42% | 4 Jul → | ||
| 13–7 | 0.02 | 29% | 4 Jul → | ||
| 13–8 | 0.07 | 17% | 4 Jul → | ||
| 9–13 | 0.08 | 37% | 4 Jul → | ||
| 19–17 | -0.03 | 13% | 29 Jun → | ||
| 9–13 | -0.02 | 32% | 29 Jun → | ||
| 9–13 | 0.01 | 23% | 15 Jun → | ||
| 9–13 | -0.02 | 15% | 14 Jun → | ||
| 13–9 | 0.01 | 26% | 14 Jun → | ||
| 6–13 | -0.05 | 22% | 12 Jun → | ||
| 13–8 | 0.09 | 28% | 8 Jun → | ||
| 13–7 | 0.03 | 20% | 4 Jun → | ||
| 13–9 | 0.03 | 18% | 27 May → | ||
| 16–19 | -0.02 | 25% | 27 May → | ||
| 16–12 | 0.03 | 34% | 27 May → | ||
| 11–13 | -0.01 | 17% | 27 May → | ||
| 11–13 | -0.02 | 23% | 26 May → | ||
| 10–13 | 0.04 | 22% | 26 May → | ||
| 4–13 | 0.18 | 40% | 25 May → | ||
| 13–9 | 0.14 | 24% | 25 May → | ||
| 4–13 | -0.04 | 15% | 25 May → | ||
| 10–13 | -0.06 | 22% | 25 May → | ||
| 7–13 | -0.07 | 18% | 25 May → | ||
| 16–12 | 0.04 | 18% | 23 May → | ||
| 4–13 | -0.06 | 22% | 21 May → | ||
| 3–13 | -0.06 | 47% | 18 May → | ||
| 13–8 | 0.04 | 20% | 18 May → | ||
| 10–13 | 0.04 | 23% | 18 May → | ||
| 16–19 | -0.06 | 23% | 14 May → | ||
| 1–13 | -0.07 | 5% | 14 May → | ||
| 6–13 | -0.06 | 17% | 13 May → | ||
| 13–9 | -0.01 | 19% | 12 May → | ||
| 13–8 | 0.02 | 16% | 10 May → | ||
| 13–11 | 0.02 | 23% | 8 May → | ||
| 6–13 | -0.04 | 23% | 2 May → | ||
| 13–16 | -0.02 | 18% | 1 May → | ||
| 19–16 | 0.08 | 16% | 1 May → | ||
| 6–13 | -0.01 | 31% | 30 Apr → | ||
| 13–10 | 0.05 | 36% | 30 Apr → | ||
| 17–19 | -0.02 | 8% | 30 Apr → | ||
| 9–13 | -0.10 | 29% | 29 Apr → | ||
| 5–9 | -0.08 | 17% | 26 Apr → | ||
| 12–12 | 0.05 | 26% | 26 Apr → | ||
| cbble | 13–2 | 0.01 | 60% | 25 Apr → | |
| 13–11 | -0.07 | 21% | 20 Apr → | ||
| 7–13 | -0.05 | 18% | 19 Apr → | ||
| 1–13 | -0.05 | 19% | 16 Apr → | ||
| 13–10 | 0.03 | 25% | 16 Apr → | ||
| 22–20 | 0.01 | 17% | 14 Apr → | ||
| 7–13 | -0.01 | 29% | 10 Apr → | ||
| 2–13 | 0.02 | 26% | 10 Apr → | ||
| 5–13 | -0.03 | 26% | 9 Apr → | ||
| 13–7 | 0.04 | 22% | 9 Apr → | ||
| 8–13 | -0.08 | 24% | 5 Apr → | ||
| 8–13 | -0.04 | 15% | 3 Apr → | ||
| 16–12 | 0.04 | 10% | 2 Apr → |
Match data via Leetify.