Orsted — CS2 Stats
76561197980524428[U:1:20258700]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.12 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashes
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 iM 94% playstyle similarity
Most alike: aim profile, 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
T-side openings. Opening success drops from 57% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 557ms 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 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 |
|---|---|---|---|---|---|
 inferno | B | 19 | 10–9 | 53% | 0.02 |
 nuke | B | 15 | 7–8 | 47% | 0.02 |
 anubis | S | 13 | 9–4 | 69% | 0.02 |
 mirage | C | 12 | 5–7 | 42% | 0.01 |
 ancient | S | 9 | 8–1 | 89% | 0.01 |
 overpass | B | 8 | 4–4 | 50% | 0.08 |
 train | B | 8 | 4–4 | 50% | -0.01 |
 dust2 | S | 7 | 5–2 | 71% | 0.04 |
 vertigo | B | 6 | 3–3 | 50% | 0.07 |
 cache | — | 1 | 1–0 | 100% | 0.19 |
| stronghold | — | 1 | 0–1 | 0% | 0.03 |
| palais | — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Mirage 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 12 | 50% | 1.27 | 16.7 |
| Dust2 | 7 | 71% | 1.21 | 16.7 |
| Anubis | 3 | 100% | 1.45 | 17.0 |
| Train | 3 | 67% | 1.52 | 16.7 |
| Nuke | 2 | 50% | 1.52 | 22.0 |
| Ancient | 1 | 0% | 1.04 | 25.0 |
| Inferno | 1 | 100% | 0.92 | 12.0 |
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 32.7206% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 9–13 | -0.02 | 30% | 21 Jul → | |
| mirage | 9–13 | 0.02 | 33% | 16 Jul → | |
| dust2 | 13–4 | 0.14 | 40% | 16 Jul → | |
| vertigo | 9–4 | 0.35 | 44% | 12 Jul → | |
| nuke | 9–1 | 0.29 | 32% | 10 Jul → | |
| inferno | 8–8 | 0.08 | 27% | 10 Jul → | |
| anubis | 13–4 | 0.08 | 28% | 9 Jul → | |
| nuke | 13–2 | 0.09 | 36% | 9 Jul → | |
| cache | 13–4 | 0.19 | 24% | 5 Jul → | |
| inferno | 13–1 | 0.05 | 34% | 27 Jun → | |
| anubis | 13–2 | 0.12 | 32% | 16 Jun → | |
| nuke | 13–8 | -0.02 | 23% | 15 Feb → | |
| anubis | 4–13 | -0.07 | 18% | 15 Feb → | |
| stronghold | 6–13 | 0.03 | 37% | 3 Feb → | |
| ancient | 13–6 | 0.02 | 21% | 3 Feb → | |
| inferno | 13–10 | -0.03 | 36% | 3 Feb → | |
| ancient | 13–7 | 0.06 | 22% | 3 Feb → | |
| overpass | 8–13 | -0.02 | 38% | 3 Feb → | |
| ancient | 13–9 | -0.01 | 23% | 1 Feb → | |
| inferno | 13–5 | 0.01 | 22% | 1 Feb → | |
| mirage | 3–13 | 0.00 | 53% | 4 Jan → | |
| overpass | 7–13 | -0.01 | 46% | 3 Jan → | |
| mirage | 10–13 | -0.02 | 8% | 2 Jan → | |
| nuke | 13–6 | 0.08 | 31% | 2 Jan → | |
| dust2 | 7–13 | -0.07 | 44% | 2 Jan → | |
| inferno | 13–5 | 0.02 | 50% | 2 Jan → | |
| overpass | 9–2 | 0.23 | 34% | 22 Dec → | |
| inferno | 0–9 | -0.12 | 0% | 22 Dec → | |
| mirage | 10–13 | 0.06 | 37% | 31 Oct → | |
| mirage | 10–13 | -0.00 | 17% | 31 Oct → | |
| inferno | 16–13 | 0.05 | 27% | 5 Oct → | |
| mirage | 13–7 | -0.04 | 24% | 5 Oct → | |
| ancient | 16–14 | 0.03 | 22% | 5 Oct → | |
| mirage | 3–13 | 0.09 | 26% | 10 Aug → | |
| ancient | 13–10 | -0.03 | 12% | 7 Aug → | |
| anubis | 13–7 | 0.00 | 16% | 7 Aug → | |
| train | 13–6 | -0.03 | 9% | 7 Aug → | |
| inferno | 13–11 | 0.03 | 21% | 7 Aug → | |
| dust2 | 13–2 | 0.07 | 20% | 4 Aug → | |
| mirage | 13–4 | 0.07 | 32% | 3 Aug → | |
| inferno | 4–13 | -0.05 | 14% | 31 Jul → | |
| anubis | 13–1 | 0.02 | 21% | 13 Jul → | |
| ancient | 7–13 | -0.01 | 22% | 13 Jul → | |
| dust2 | 13–2 | 0.07 | 19% | 28 Jun → | |
| train | 13–11 | 0.01 | 28% | 3 Mar → | |
| anubis | 13–11 | 0.03 | 13% | 2 Mar → | |
| dust2 | 7–13 | -0.03 | 19% | 18 Feb → | |
| vertigo | 8–8 | 0.01 | 27% | 18 Feb → | |
| nuke | 13–9 | 0.02 | 27% | 16 Feb → | |
| train | 11–13 | 0.02 | 43% | 10 Feb → | |
| nuke | 9–13 | -0.05 | 15% | 10 Feb → | |
| inferno | 13–9 | 0.10 | 36% | 4 Feb → | |
| anubis | 13–1 | 0.10 | 30% | 4 Feb → | |
| ancient | 13–9 | 0.07 | 33% | 4 Feb → | |
| dust2 | 13–11 | 0.04 | 24% | 4 Feb → | |
| overpass | 9–0 | 0.23 | 32% | 4 Feb → | |
| inferno | 9–2 | 0.04 | 23% | 4 Feb → | |
| nuke | 8–13 | -0.04 | 18% | 2 Feb → | |
| ancient | 13–10 | -0.02 | 22% | 2 Feb → | |
| anubis | 13–8 | 0.02 | 33% | 2 Feb → | |
| train | 9–13 | -0.02 | 22% | 2 Feb → | |
| inferno | 9–4 | 0.01 | 29% | 2 Feb → | |
| train | 8–13 | -0.00 | 26% | 2 Feb → | |
| overpass | 9–5 | 0.07 | 32% | 25 Jan → | |
| nuke | 7–9 | 0.01 | 10% | 25 Jan → | |
| inferno | 9–7 | 0.07 | 28% | 25 Jan → | |
| anubis | 4–13 | 0.00 | 28% | 25 Jan → | |
| nuke | 7–13 | -0.05 | 30% | 25 Jan → | |
| inferno | 10–13 | 0.04 | 29% | 25 Jan → | |
| anubis | 13–4 | -0.00 | 18% | 25 Jan → | |
| vertigo | 11–13 | -0.03 | 21% | 25 Jan → | |
| mirage | 13–10 | 0.04 | 29% | 25 Jan → | |
| anubis | 13–3 | -0.04 | 12% | 25 Jan → | |
| anubis | 2–13 | -0.04 | 25% | 17 Jan → | |
| ancient | 13–5 | 0.01 | 41% | 17 Jan → | |
| vertigo | 10–1 | 0.00 | 20% | 17 Jan → | |
| inferno | 10–13 | 0.05 | 33% | 17 Jan → | |
| mirage | 13–11 | 0.02 | 26% | 17 Jan → | |
| nuke | 10–13 | -0.04 | 29% | 17 Jan → | |
| anubis | 9–13 | -0.02 | 23% | 15 Jan → | |
| palais | 4–9 | -0.10 | 11% | 15 Jan → | |
| inferno | 0–13 | -0.05 | 18% | 5 Jan → | |
| vertigo | 10–13 | 0.04 | 16% | 5 Jan → | |
| train | 13–10 | -0.08 | 26% | 5 Jan → | |
| train | 9–13 | 0.08 | 31% | 4 Jan → | |
| mirage | 16–12 | -0.03 | 14% | 4 Jan → | |
| nuke | 8–13 | -0.03 | 30% | 3 Jan → | |
| dust2 | 13–11 | 0.03 | 37% | 10 Nov → | |
| overpass | 13–0 | 0.13 | 35% | 28 Sept → | |
| mirage | 9–13 | -0.06 | 13% | 23 Sept → | |
| nuke | 13–3 | 0.01 | 30% | 18 Sept → | |
| nuke | 4–13 | -0.06 | 19% | 18 Sept → | |
| overpass | 8–13 | -0.02 | 33% | 14 Sept → | |
| nuke | 13–10 | 0.07 | 27% | 13 Sept → | |
| vertigo | 13–3 | 0.04 | 31% | 13 Sept → | |
| inferno | 8–13 | 0.07 | 21% | 10 Sept → | |
| nuke | 14–16 | -0.01 | 25% | 1 Feb → | |
| train | 16–13 | -0.03 | 28% | 10 Jan → | |
| overpass | 12–16 | 0.00 | 28% | 5 Jan → | |
| inferno | 5–16 | -0.01 | 31% | 21 Nov → |
Match data via Leetify.