jogi — CS2 Stats
76561199174197180[U:1:1213931452]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 58.5% | 52.0% |
| Shot accuracy | 10.0% | 13.7% |
| Kill/death ratio | 0.98 | 1.08 |
| Match win rate | 49.9% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 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 86% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
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 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 579ms 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 |
|---|---|---|---|---|---|
 nuke | A | 27 | 16–11 | 59% | 0.02 |
 mirage | B | 22 | 10–12 | 45% | 0.02 |
 anubis | C | 14 | 5–9 | 36% | 0.01 |
 ancient | B | 11 | 5–6 | 45% | -0.02 |
 overpass | B | 8 | 4–4 | 50% | 0.03 |
 inferno | C | 7 | 3–4 | 43% | -0.01 |
 dust2 | S | 6 | 4–2 | 67% | -0.01 |
 train | A | 5 | 3–2 | 60% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (36% 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 387 | 47% | 1.06 | 17.2 |
| Nuke | 237 | 65% | 1.26 | 18.6 |
| Anubis | 176 | 51% | 1.01 | 16.0 |
| Ancient | 116 | 39% | 0.97 | 16.8 |
| Inferno | 111 | 42% | 1.07 | 16.5 |
| Train | 97 | 57% | 1.00 | 17.0 |
| Dust2 | 97 | 43% | 0.92 | 15.3 |
| Overpass | 39 | 51% | 0.98 | 16.1 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.2622 — below the 4 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 30.4693% — 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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–10 | -0.01 | 22% | 27 Aug → | |
| mirage | 6–13 | 0.05 | 28% | 30 Jul → | |
| ancient | 13–11 | 0.02 | 27% | 28 Feb → | |
| nuke | 13–8 | -0.03 | 11% | 27 Feb → | |
| overpass | 12–16 | 0.03 | 20% | 26 Feb → | |
| inferno | 13–11 | -0.04 | 19% | 25 Feb → | |
| nuke | 13–6 | 0.10 | 23% | 25 Feb → | |
| anubis | 11–13 | 0.00 | 24% | 23 Feb → | |
| mirage | 13–10 | 0.08 | 17% | 12 Feb → | |
| mirage | 13–11 | -0.00 | 22% | 8 Feb → | |
| mirage | 13–1 | -0.01 | 32% | 8 Feb → | |
| overpass | 13–8 | 0.04 | 20% | 6 Feb → | |
| nuke | 13–8 | 0.08 | 17% | 5 Feb → | |
| overpass | 13–7 | 0.06 | 14% | 4 Feb → | |
| nuke | 13–4 | 0.02 | 25% | 2 Feb → | |
| anubis | 13–8 | 0.02 | 21% | 1 Feb → | |
| mirage | 20–22 | 0.01 | 20% | 30 Jan → | |
| nuke | 13–10 | 0.03 | 15% | 20 Jan → | |
| overpass | 4–13 | -0.03 | 23% | 19 Jan → | |
| mirage | 10–13 | 0.02 | 30% | 19 Jan → | |
| mirage | 13–11 | 0.09 | 20% | 18 Jan → | |
| mirage | 9–13 | -0.07 | 29% | 18 Jan → | |
| nuke | 11–13 | -0.04 | 12% | 17 Jan → | |
| nuke | 9–13 | 0.01 | 16% | 17 Jan → | |
| anubis | 9–13 | 0.00 | 20% | 15 Jan → | |
| dust2 | 13–11 | -0.04 | 20% | 15 Jan → | |
| overpass | 13–5 | 0.05 | 35% | 15 Jan → | |
| mirage | 13–10 | 0.01 | 18% | 14 Jan → | |
| mirage | 13–11 | 0.05 | 28% | 11 Jan → | |
| overpass | 11–13 | 0.06 | 14% | 6 Jan → | |
| ancient | 13–3 | 0.00 | 22% | 5 Jan → | |
| ancient | 9–13 | -0.08 | 24% | 4 Jan → | |
| ancient | 37–40 | 0.02 | 21% | 28 Dec → | |
| train | 13–11 | 0.01 | 21% | 22 Dec → | |
| nuke | 9–6 | 0.11 | 26% | 16 Dec → | |
| inferno | 9–4 | -0.00 | 39% | 16 Dec → | |
| inferno | 7–13 | 0.07 | 35% | 5 Dec → | |
| nuke | 13–11 | 0.05 | 30% | 30 Nov → | |
| nuke | 6–13 | 0.01 | 16% | 5 Nov → | |
| dust2 | 13–9 | -0.09 | 23% | 3 Nov → | |
| mirage | 11–13 | 0.01 | 23% | 17 Sept → | |
| nuke | 13–16 | -0.04 | 18% | 4 Sept → | |
| mirage | 13–3 | 0.13 | 35% | 3 Sept → | |
| nuke | 13–4 | 0.03 | 26% | 2 Sept → | |
| mirage | 6–10 | -0.01 | 55% | 1 Sept → | |
| inferno | 1–12 | -0.10 | 13% | 1 Sept → | |
| nuke | 13–9 | 0.00 | 22% | 30 Aug → | |
| ancient | 12–16 | -0.04 | 24% | 30 Aug → | |
| mirage | 9–13 | 0.00 | 19% | 25 Aug → | |
| nuke | 31–28 | 0.02 | 22% | 23 Aug → | |
| overpass | 13–11 | 0.10 | 9% | 21 Aug → | |
| overpass | 8–13 | -0.05 | 21% | 11 Aug → | |
| ancient | 4–13 | -0.01 | 44% | 8 Aug → | |
| anubis | 16–19 | -0.01 | 20% | 11 Jul → | |
| nuke | 8–13 | 0.05 | 31% | 10 Jul → | |
| anubis | 13–6 | -0.04 | 22% | 7 Jul → | |
| nuke | 13–4 | 0.11 | 18% | 28 Jun → | |
| train | 14–16 | -0.04 | 18% | 27 Jun → | |
| dust2 | 13–4 | 0.01 | 12% | 27 Jun → | |
| nuke | 13–11 | -0.03 | 21% | 25 Jun → | |
| inferno | 13–11 | 0.00 | 21% | 18 Jun → | |
| nuke | 13–7 | 0.05 | 28% | 9 Jun → | |
| mirage | 9–13 | -0.00 | 26% | 31 May → | |
| ancient | 11–13 | -0.01 | 31% | 29 May → | |
| mirage | 13–10 | -0.02 | 17% | 27 May → | |
| anubis | 13–7 | 0.10 | 13% | 25 May → | |
| inferno | 14–16 | 0.02 | 25% | 18 May → | |
| anubis | 8–13 | 0.00 | 13% | 18 May → | |
| anubis | 11–13 | -0.06 | 12% | 18 May → | |
| train | 13–9 | 0.02 | 18% | 13 May → | |
| nuke | 4–13 | -0.04 | 22% | 27 Apr → | |
| mirage | 10–13 | -0.02 | 17% | 22 Apr → | |
| nuke | 8–13 | 0.02 | 12% | 22 Apr → | |
| dust2 | 3–13 | -0.01 | 19% | 21 Apr → | |
| mirage | 13–10 | -0.02 | 18% | 10 Apr → | |
| nuke | 9–13 | 0.01 | 31% | 1 Apr → | |
| anubis | 13–6 | 0.12 | 33% | 26 Mar → | |
| nuke | 11–13 | -0.01 | 21% | 23 Mar → | |
| nuke | 14–16 | -0.07 | 23% | 12 Mar → | |
| train | 7–13 | -0.06 | 44% | 9 Mar → | |
| mirage | 5–13 | 0.02 | 30% | 4 Mar → | |
| mirage | 13–9 | 0.04 | 23% | 2 Mar → | |
| dust2 | 7–13 | 0.01 | 32% | 1 Mar → | |
| ancient | 13–9 | -0.05 | 30% | 1 Mar → | |
| anubis | 13–5 | 0.10 | 25% | 1 Mar → | |
| dust2 | 13–3 | 0.08 | 18% | 1 Mar → | |
| anubis | 10–13 | 0.03 | 15% | 28 Feb → | |
| inferno | 11–13 | -0.00 | 18% | 28 Feb → | |
| mirage | 15–15 | 0.06 | 19% | 28 Feb → | |
| anubis | 10–13 | -0.05 | 20% | 5 Feb → | |
| train | 16–13 | 0.01 | 28% | 2 Feb → | |
| mirage | 2–13 | 0.00 | 40% | 30 Jan → | |
| anubis | 8–13 | 0.00 | 17% | 26 Jan → | |
| anubis | 8–13 | -0.01 | 20% | 24 Jan → | |
| ancient | 16–14 | -0.04 | 21% | 23 Jan → | |
| nuke | 16–14 | 0.03 | 23% | 20 Jan → | |
| ancient | 16–13 | -0.02 | 14% | 17 Jan → | |
| nuke | 13–7 | 0.03 | 27% | 9 Jan → | |
| ancient | 6–13 | -0.06 | 22% | 9 Jan → | |
| nuke | 6–9 | 0.01 | 18% | 9 Jan → |
Match data via Leetify.
