GojiHaze — CS2 Stats
76561198179421113[U:1:219155385]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.03 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 b1t 89% playstyle similarity
Most alike: opening-duel success, utility contribution.
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 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 626ms 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 |
|---|---|---|---|---|---|
 cache | C | 24 | 9–15 | 38% | -0.01 |
 mirage | S | 14 | 10–4 | 71% | -0.02 |
 ancient | B | 13 | 6–7 | 46% | -0.02 |
 inferno | B | 13 | 6–7 | 46% | -0.02 |
 dust2 | B | 11 | 5–6 | 45% | -0.02 |
 overpass | A | 9 | 5–4 | 56% | 0.02 |
 nuke | D | 8 | 2–6 | 25% | -0.00 |
 anubis | B | 8 | 4–4 | 50% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 28 | 57% | 0.91 | 13.1 |
| Dust2 | 14 | 50% | 0.84 | 13.1 |
| Anubis | 11 | 64% | 0.95 | 14.7 |
| Inferno | 11 | 55% | 0.90 | 13.8 |
| Nuke | 8 | 38% | 0.81 | 11.8 |
| Ancient | 8 | 50% | 0.86 | 11.5 |
| Vertigo | 7 | 43% | 0.82 | 12.6 |
| Overpass | 3 | 67% | 0.96 | 15.3 |
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 34.976% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 11–13 | 0.04 | 26% | 23 Aug → | |
| nuke | 10–13 | 0.03 | 25% | 23 Aug → | |
| cache | 13–3 | 0.04 | 39% | 23 Aug → | |
| ancient | 7–13 | -0.00 | 32% | 10 Aug → | |
| inferno | 10–13 | -0.02 | 19% | 12 Jul → | |
| cache | 12–12 | -0.03 | 22% | 25 Jun → | |
| nuke | 13–5 | 0.01 | 27% | 25 May → | |
| cache | 7–13 | -0.08 | 50% | 25 May → | |
| cache | 11–13 | 0.04 | 36% | 24 May → | |
| cache | 12–12 | 0.07 | 40% | 24 May → | |
| cache | 13–11 | -0.07 | 16% | 24 May → | |
| cache | 12–12 | -0.05 | 25% | 24 May → | |
| cache | 13–8 | 0.04 | 23% | 24 May → | |
| cache | 6–13 | -0.05 | 38% | 23 May → | |
| cache | 13–9 | -0.07 | 24% | 23 May → | |
| inferno | 7–13 | -0.02 | 15% | 23 May → | |
| cache | 9–13 | 0.02 | 26% | 23 May → | |
| cache | 12–12 | 0.07 | 38% | 17 May → | |
| cache | 12–12 | -0.04 | 17% | 17 May → | |
| anubis | 4–13 | -0.06 | 11% | 17 May → | |
| dust2 | 13–10 | -0.04 | 23% | 16 May → | |
| cache | 3–13 | -0.04 | 33% | 16 May → | |
| cache | 10–13 | 0.07 | 18% | 12 May → | |
| cache | 10–13 | 0.03 | 42% | 11 May → | |
| cache | 13–6 | -0.05 | 16% | 11 May → | |
| cache | 6–13 | -0.08 | 18% | 3 May → | |
| cache | 2–13 | -0.11 | 27% | 3 May → | |
| cache | 13–10 | -0.01 | 20% | 3 May → | |
| cache | 13–9 | -0.07 | 20% | 29 Apr → | |
| cache | 13–5 | 0.02 | 39% | 29 Apr → | |
| cache | 10–13 | -0.02 | 48% | 29 Apr → | |
| cache | 13–7 | 0.00 | 32% | 28 Apr → | |
| inferno | 11–13 | -0.02 | 34% | 25 Apr → | |
| mirage | 5–13 | -0.10 | 17% | 19 Apr → | |
| dust2 | 13–4 | 0.02 | 21% | 19 Apr → | |
| nuke | 15–15 | 0.04 | 13% | 13 Apr → | |
| dust2 | 14–16 | -0.05 | 22% | 12 Apr → | |
| inferno | 13–7 | -0.05 | 16% | 12 Apr → | |
| overpass | 13–7 | 0.02 | 13% | 12 Apr → | |
| mirage | 16–14 | -0.08 | 15% | 12 Apr → | |
| nuke | 8–13 | -0.02 | 26% | 12 Apr → | |
| ancient | 16–13 | -0.02 | 33% | 12 Apr → | |
| ancient | 11–13 | 0.01 | 18% | 11 Apr → | |
| overpass | 6–13 | 0.01 | 19% | 5 Apr → | |
| inferno | 8–13 | -0.05 | 29% | 5 Apr → | |
| dust2 | 4–13 | -0.03 | 13% | 4 Apr → | |
| nuke | 13–10 | -0.07 | 19% | 4 Apr → | |
| ancient | 12–5 | -0.05 | 18% | 4 Apr → | |
| inferno | 3–13 | -0.08 | 26% | 3 Apr → | |
| ancient | 6–13 | -0.04 | 23% | 3 Apr → | |
| mirage | 6–13 | -0.05 | 28% | 3 Apr → | |
| anubis | 13–10 | -0.04 | 26% | 3 Apr → | |
| mirage | 13–5 | 0.04 | 24% | 3 Apr → | |
| anubis | 16–12 | -0.04 | 19% | 1 Apr → | |
| inferno | 3–13 | -0.06 | 17% | 1 Apr → | |
| ancient | 13–4 | -0.00 | 18% | 1 Apr → | |
| overpass | 13–11 | 0.05 | 33% | 29 Mar → | |
| dust2 | 13–4 | 0.01 | 17% | 29 Mar → | |
| anubis | 4–13 | 0.06 | 33% | 28 Mar → | |
| inferno | 11–13 | -0.08 | 24% | 28 Mar → | |
| overpass | 10–13 | -0.02 | 23% | 28 Mar → | |
| ancient | 2–13 | -0.05 | 35% | 28 Mar → | |
| dust2 | 13–11 | -0.06 | 17% | 28 Mar → | |
| overpass | 15–15 | 0.05 | 21% | 27 Mar → | |
| dust2 | 13–9 | 0.01 | 24% | 23 Mar → | |
| ancient | 4–13 | -0.06 | 18% | 23 Mar → | |
| anubis | 11–13 | -0.05 | 23% | 22 Mar → | |
| overpass | 13–7 | 0.08 | 31% | 22 Mar → | |
| inferno | 5–3 | 0.13 | 50% | 22 Mar → | |
| mirage | 13–11 | 0.02 | 30% | 22 Mar → | |
| ancient | 13–7 | -0.02 | 23% | 22 Mar → | |
| mirage | 13–7 | 0.04 | 27% | 22 Mar → | |
| ancient | 7–13 | 0.01 | 30% | 22 Mar → | |
| dust2 | 4–13 | -0.06 | 22% | 21 Mar → | |
| nuke | 8–13 | -0.01 | 15% | 21 Mar → | |
| nuke | 3–13 | -0.01 | 43% | 21 Mar → | |
| inferno | 13–2 | -0.01 | 30% | 21 Mar → | |
| inferno | 13–10 | -0.05 | 29% | 21 Mar → | |
| inferno | 13–8 | 0.01 | 48% | 19 Mar → | |
| mirage | 13–8 | -0.04 | 28% | 18 Mar → | |
| mirage | 14–16 | 0.04 | 24% | 18 Mar → | |
| anubis | 13–6 | 0.01 | 17% | 17 Mar → | |
| mirage | 13–9 | -0.03 | 22% | 17 Mar → | |
| mirage | 16–12 | 0.01 | 24% | 16 Mar → | |
| overpass | 8–13 | -0.01 | 26% | 16 Mar → | |
| nuke | 7–13 | 0.02 | 25% | 14 Mar → | |
| overpass | 13–8 | -0.02 | 19% | 28 Feb → | |
| mirage | 13–5 | 0.03 | 27% | 28 Feb → | |
| mirage | 4–13 | -0.06 | 20% | 28 Feb → | |
| mirage | 13–6 | -0.03 | 19% | 28 Feb → | |
| ancient | 14–16 | -0.04 | 20% | 28 Feb → | |
| inferno | 13–6 | 0.05 | 24% | 28 Feb → | |
| ancient | 13–3 | 0.01 | 24% | 28 Feb → | |
| dust2 | 7–13 | 0.01 | 23% | 28 Feb → | |
| anubis | 12–16 | -0.04 | 21% | 22 Feb → | |
| ancient | 16–13 | 0.04 | 25% | 22 Feb → | |
| anubis | 13–6 | -0.02 | 16% | 22 Feb → | |
| overpass | 13–8 | 0.04 | 16% | 22 Feb → | |
| mirage | 16–14 | -0.02 | 14% | 22 Feb → | |
| dust2 | 8–13 | -0.03 | 19% | 22 Feb → |
Match data via Leetify.