Jet881_OF — CS2 Stats
76561199224485043[U:1:1264219315]Steam profile ↗1 game ban
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
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 78% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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 47% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.5/10 (Learning), 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 42 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 | C | 13 | 5–8 | 38% | -0.05 |
 dust2 | S | 12 | 8–4 | 67% | -0.02 |
 inferno | — | 4 | 4–0 | 100% | -0.00 |
 anubis | — | 4 | 1–3 | 25% | -0.03 |
 nuke | — | 4 | 2–2 | 50% | -0.04 |
 overpass | — | 3 | 1–2 | 33% | -0.03 |
 ancient | — | 1 | 0–1 | 0% | -0.06 |
 cache | — | 1 | 0–1 | 0% | -0.02 |
Across the last 42 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 13). 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 47 | 49% | 0.86 | 13.2 |
| Dust2 | 24 | 58% | 0.83 | 13.5 |
| Inferno | 17 | 53% | 1.06 | 16.9 |
| Nuke | 11 | 55% | 1.04 | 14.6 |
| Ancient | 8 | 50% | 0.65 | 10.8 |
| Cache | 7 | 57% | 0.82 | 14.0 |
| Anubis | 7 | 43% | 0.72 | 13.0 |
| Overpass | 7 | 29% | 0.70 | 12.4 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.7835% — below the 15% 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 21.0411% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–6 | 0.08 | 20% | 19 Aug → | |
| mirage | 13–9 | -0.04 | 12% | 10 Aug → | |
| dust2 | 13–1 | 0.01 | 32% | 12 Jul → | |
| anubis | 8–13 | 0.05 | 9% | 9 Jul → | |
| mirage | 9–13 | -0.04 | 6% | 29 Jun → | |
| ancient | 4–13 | -0.06 | 10% | 25 Jun → | |
| mirage | 11–13 | -0.06 | 11% | 25 Jun → | |
| nuke | 13–1 | 0.01 | 12% | 25 Jun → | |
| dust2 | 6–13 | -0.03 | 16% | 22 Jun → | |
| mirage | 15–15 | -0.06 | 7% | 22 Jun → | |
| anubis | 3–13 | -0.11 | 11% | 22 Jun → | |
| dust2 | 12–16 | -0.08 | 18% | 18 Jun → | |
| dust2 | 13–6 | 0.04 | 20% | 18 Jun → | |
| anubis | 16–14 | 0.02 | 11% | 7 Jun → | |
| dust2 | 13–8 | -0.01 | 10% | 28 May → | |
| mirage | 2–13 | -0.05 | 16% | 11 May → | |
| inferno | 13–7 | -0.02 | 9% | 10 May → | |
| cache | 5–13 | -0.02 | 16% | 29 Apr → | |
| dust2 | 16–12 | -0.02 | 18% | 29 Apr → | |
| nuke | 11–13 | -0.08 | 9% | 26 Apr → | |
| mirage | 16–12 | -0.00 | 9% | 23 Apr → | |
| overpass | 6–13 | 0.00 | 19% | 23 Apr → | |
| mirage | 13–10 | -0.01 | 7% | 7 Apr → | |
| anubis | 7–13 | -0.06 | 5% | 7 Apr → | |
| dust2 | 13–5 | -0.06 | 22% | 7 Apr → | |
| mirage | 9–13 | -0.02 | 23% | 7 Apr → | |
| inferno | 13–10 | -0.03 | 12% | 6 Apr → | |
| dust2 | 13–9 | 0.01 | 18% | 5 Apr → | |
| dust2 | 4–13 | -0.05 | 7% | 2 Apr → | |
| dust2 | 3–13 | -0.04 | 50% | 7 Feb → | |
| dust2 | 13–5 | -0.04 | 8% | 7 Nov → | |
| overpass | 12–16 | -0.03 | 12% | 7 Nov → | |
| dust2 | 13–2 | 0.02 | 32% | 6 Nov → | |
| overpass | 13–6 | -0.07 | 12% | 6 Oct → | |
| mirage | 13–7 | -0.11 | 23% | 6 Oct → | |
| mirage | 13–11 | -0.04 | 17% | 1 Oct → | |
| nuke | 3–13 | -0.03 | 17% | 28 Apr → | |
| mirage | 3–13 | -0.07 | 10% | 4 Apr → | |
| mirage | 5–13 | -0.07 | 0% | 4 Apr → | |
| mirage | 5–13 | -0.05 | 6% | 4 Apr → | |
| nuke | 13–3 | -0.05 | 0% | 4 Apr → | |
| inferno | 4–5 | -0.03 | 0% | 4 Apr → |
Match data via Leetify.
