jorg — CS2 Stats
76561198110844801[U:1:150579073]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | 48.5% | 51.9% |
| Shot accuracy | 15.7% | 13.7% |
| Kill/death ratio | 1.33 | 1.08 |
| Match win rate | 43.8% | 48.7% |
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 device 93% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 63% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
 mirage | B | 34 | 18–16 | 53% | 0.02 |
 inferno | B | 15 | 8–7 | 53% | 0.04 |
 anubis | C | 11 | 4–7 | 36% | 0.08 |
 nuke | A | 7 | 4–3 | 57% | -0.01 |
 cache | S | 7 | 5–2 | 71% | 0.05 |
 ancient | S | 7 | 5–2 | 71% | 0.02 |
 dust2 | S | 7 | 6–1 | 86% | 0.04 |
 train | — | 3 | 1–2 | 33% | 0.02 |
 overpass | — | 2 | 0–2 | 0% | -0.01 |
| poseidon | — | 1 | 0–1 | 0% | -0.16 |
| debris | — | 1 | 1–0 | 100% | 0.00 |
| eldorado | — | 1 | 1–0 | 100% | 0.03 |
| fachwerk | — | 1 | 1–0 | 100% | -0.11 |
| shelter | — | 1 | 0–1 | 0% | 0.00 |
| boulder | — | 1 | 1–0 | 100% | 0.08 |
| alpine | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (36% over 11). 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 218 | 51% | 1.42 | 20.8 |
| Anubis | 79 | 54% | 1.46 | 21.2 |
| Inferno | 55 | 51% | 1.37 | 21.3 |
| Nuke | 50 | 40% | 1.43 | 22.0 |
| Vertigo | 31 | 29% | 1.22 | 19.8 |
| Ancient | 18 | 33% | 1.27 | 20.1 |
| Dust2 | 10 | 40% | 1.35 | 21.9 |
| Train | 2 | 50% | 1.22 | 17.5 |
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 39.0867% — 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 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 7–13 | 0.04 | 21% | 12 Jul → | |
| nuke | 13–9 | -0.02 | 22% | 12 Jul → | |
| cache | 13–9 | 0.11 | 24% | 11 Jul → | |
| poseidon | 6–9 | -0.16 | 20% | 9 Jul → | |
| debris | 9–2 | 0.00 | 43% | 9 Jul → | |
| eldorado | 9–2 | 0.03 | 40% | 9 Jul → | |
| fachwerk | 8–3 | -0.11 | 16% | 9 Jul → | |
| shelter | 7–13 | 0.00 | 38% | 9 Jul → | |
| boulder | 13–4 | 0.08 | 30% | 9 Jul → | |
| cache | 13–1 | 0.01 | 45% | 2 Jul → | |
| cache | 13–11 | 0.03 | 29% | 2 Jul → | |
| mirage | 10–13 | 0.10 | 13% | 25 Jun → | |
| anubis | 9–13 | 0.01 | 28% | 24 Jun → | |
| nuke | 10–13 | -0.04 | 38% | 24 Jun → | |
| mirage | 9–13 | -0.07 | 8% | 23 Jun → | |
| mirage | 13–2 | 0.05 | 17% | 23 Jun → | |
| inferno | 13–16 | 0.09 | 24% | 22 Jun → | |
| mirage | 14–16 | -0.03 | 25% | 20 Jun → | |
| mirage | 12–12 | 0.06 | 24% | 18 Jun → | |
| ancient | 13–11 | -0.02 | 25% | 7 Jun → | |
| mirage | 11–1 | 0.01 | 35% | 3 Jun → | |
| mirage | 13–6 | 0.03 | 18% | 3 Jun → | |
| anubis | 13–6 | 0.09 | 20% | 3 Jun → | |
| mirage | 13–6 | 0.08 | 11% | 1 Jun → | |
| mirage | 11–13 | 0.05 | 25% | 1 Jun → | |
| mirage | 12–12 | -0.03 | 32% | 24 May → | |
| anubis | 11–13 | 0.06 | 16% | 23 May → | |
| mirage | 16–13 | -0.03 | 17% | 16 May → | |
| ancient | 13–8 | -0.06 | 13% | 16 May → | |
| inferno | 13–11 | 0.11 | 22% | 14 May → | |
| inferno | 7–13 | 0.04 | 28% | 14 May → | |
| cache | 5–13 | -0.00 | 22% | 14 May → | |
| inferno | 7–13 | 0.05 | 30% | 13 May → | |
| mirage | 3–13 | -0.03 | 30% | 13 May → | |
| inferno | 16–14 | 0.00 | 16% | 12 May → | |
| anubis | 13–1 | 0.10 | 28% | 12 May → | |
| mirage | 13–11 | 0.00 | 14% | 12 May → | |
| mirage | 2–13 | 0.02 | 30% | 12 May → | |
| inferno | 5–13 | -0.02 | 18% | 11 May → | |
| mirage | 8–13 | 0.03 | 31% | 11 May → | |
| ancient | 13–9 | 0.02 | 18% | 10 May → | |
| dust2 | 13–7 | 0.07 | 24% | 10 May → | |
| cache | 13–2 | 0.10 | 26% | 5 May → | |
| cache | 13–4 | 0.05 | 29% | 5 May → | |
| cache | 12–12 | 0.04 | 32% | 28 Apr → | |
| mirage | 13–11 | 0.01 | 16% | 24 Apr → | |
| mirage | 13–6 | -0.04 | 18% | 24 Apr → | |
| mirage | 13–9 | 0.07 | 22% | 30 Mar → | |
| anubis | 0–9 | 0.02 | 25% | 30 Mar → | |
| nuke | 1–13 | -0.13 | 25% | 29 Mar → | |
| mirage | 3–13 | -0.01 | 23% | 29 Mar → | |
| mirage | 13–3 | 0.07 | 40% | 28 Mar → | |
| ancient | 13–9 | 0.02 | 10% | 25 Mar → | |
| mirage | 13–5 | 0.00 | 19% | 25 Mar → | |
| inferno | 13–10 | 0.05 | 24% | 22 Mar → | |
| mirage | 13–7 | 0.06 | 31% | 22 Mar → | |
| anubis | 8–13 | 0.07 | 18% | 22 Mar → | |
| dust2 | 5–13 | 0.01 | 16% | 22 Mar → | |
| inferno | 13–10 | 0.03 | 34% | 21 Mar → | |
| dust2 | 13–11 | 0.03 | 24% | 21 Mar → | |
| dust2 | 13–5 | 0.01 | 9% | 21 Mar → | |
| inferno | 13–6 | 0.11 | 35% | 21 Mar → | |
| ancient | 5–13 | 0.03 | 31% | 20 Mar → | |
| nuke | 13–11 | 0.06 | 38% | 20 Mar → | |
| inferno | 13–11 | 0.03 | 33% | 19 Mar → | |
| ancient | 7–13 | 0.11 | 25% | 19 Mar → | |
| anubis | 13–2 | 0.12 | 31% | 19 Mar → | |
| ancient | 13–11 | 0.01 | 20% | 19 Mar → | |
| nuke | 3–13 | -0.04 | 42% | 18 Mar → | |
| mirage | 13–9 | 0.05 | 39% | 18 Mar → | |
| anubis | 13–1 | 0.09 | 34% | 18 Mar → | |
| alpine | 13–7 | 0.07 | 44% | 12 Mar → | |
| mirage | 12–12 | 0.07 | 30% | 12 Mar → | |
| inferno | 13–5 | 0.04 | 23% | 25 Feb → | |
| train | 13–3 | 0.10 | 24% | 24 Feb → | |
| nuke | 13–10 | 0.05 | 34% | 21 Feb → | |
| mirage | 13–2 | 0.04 | 44% | 20 Feb → | |
| mirage | 7–13 | 0.01 | 28% | 20 Feb → | |
| anubis | 12–12 | 0.14 | 23% | 8 Feb → | |
| anubis | 10–13 | 0.10 | 23% | 24 Jan → | |
| anubis | 2–6 | 0.04 | 29% | 24 Jan → | |
| inferno | 9–13 | -0.01 | 28% | 28 Dec → | |
| dust2 | 13–8 | 0.05 | 25% | 26 Dec → | |
| dust2 | 13–7 | 0.15 | 38% | 26 Dec → | |
| dust2 | 16–14 | -0.04 | 31% | 25 Dec → | |
| train | 11–13 | -0.01 | 26% | 25 Dec → | |
| mirage | 3–13 | 0.01 | 31% | 25 Dec → | |
| mirage | 13–7 | 0.02 | 33% | 25 Dec → | |
| train | 7–13 | -0.05 | 22% | 13 Dec → | |
| nuke | 13–8 | 0.04 | 12% | 13 Dec → | |
| mirage | 13–11 | 0.05 | 27% | 12 Dec → | |
| inferno | 9–13 | 0.05 | 28% | 3 Dec → | |
| mirage | 13–8 | 0.03 | 22% | 30 Nov → | |
| inferno | 13–3 | 0.04 | 23% | 30 Nov → | |
| inferno | 2–13 | -0.07 | 47% | 19 Nov → | |
| overpass | 10–13 | 0.03 | 24% | 19 Nov → | |
| overpass | 6–13 | -0.06 | 18% | 19 Nov → | |
| mirage | 13–10 | 0.01 | 54% | 18 Nov → | |
| mirage | 3–13 | -0.02 | 23% | 12 Nov → | |
| mirage | 9–13 | -0.04 | 13% | 5 Nov → |
Match data via Leetify.
