W1LD — CS2 Stats
76561198001399297[U:1:41133569]
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 48.3% | 44.9% | 46.2% | above |
| Shot accuracy | 15.1% | 11.8% | 12.5% | above |
| Kill/death ratio | 1.03 | 1.04 | 1.06 | 0.03 short |
| Match win rate | 44.1% | 45.3% | 45.9% | 1.7% short |
This profile matches the typical Level 7 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 580ms 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 |
|---|---|---|---|---|---|
 dust2 | C | 19 | 8–11 | 42% | 0.04 |
 cache | A | 16 | 10–6 | 63% | -0.00 |
 mirage | D | 10 | 2–8 | 20% | 0.05 |
 overpass | A | 9 | 5–4 | 56% | 0.03 |
 ancient | B | 8 | 4–4 | 50% | 0.04 |
 train | S | 8 | 6–2 | 75% | 0.05 |
 inferno | A | 8 | 5–3 | 63% | 0.04 |
 nuke | C | 7 | 3–4 | 43% | 0.01 |
 anubis | D | 6 | 1–5 | 17% | 0.02 |
 vertigo | A | 5 | 3–2 | 60% | 0.04 |
| agency | — | 2 | 0–2 | 0% | 0.05 |
| jura | — | 1 | 0–1 | 0% | -0.01 |
| grail | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). 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 |
|---|---|---|---|---|
| Inferno | 11 | 55% | 0.90 | 14.4 |
| Mirage | 10 | 30% | 1.08 | 15.6 |
| Vertigo | 8 | 62% | 1.06 | 18.6 |
| Ancient | 4 | 25% | 1.02 | 16.5 |
| Nuke | 3 | 67% | 0.83 | 13.0 |
| Overpass | 3 | 67% | 0.91 | 15.7 |
| Anubis | 3 | 33% | 0.92 | 15.3 |
| Dust2 | 1 | 0% | 0.87 | 13.0 |
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 31.7908% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 10–13 | -0.03 | 26% | 23 Aug → | |
| mirage | 11–13 | 0.01 | 27% | 23 Aug → | |
| overpass | 3–13 | -0.09 | 13% | 16 Aug → | |
| ancient | 13–9 | 0.07 | 13% | 16 Aug → | |
| nuke | 12–12 | -0.09 | 11% | 8 Aug → | |
| dust2 | 13–7 | 0.07 | 14% | 2 Aug → | |
| train | 13–7 | 0.13 | 15% | 26 Jul → | |
| inferno | 13–9 | 0.04 | 8% | 26 Jul → | |
| dust2 | 10–13 | -0.04 | 14% | 21 Jul → | |
| nuke | 13–4 | 0.00 | 30% | 21 Jul → | |
| mirage | 7–13 | 0.06 | 24% | 19 Jul → | |
| cache | 5–5 | -0.07 | 13% | 19 Jul → | |
| inferno | 13–11 | 0.09 | 13% | 12 Jul → | |
| cache | 9–13 | -0.02 | 20% | 12 Jul → | |
| ancient | 10–13 | 0.00 | 13% | 12 Jul → | |
| cache | 13–2 | 0.06 | 12% | 5 Jul → | |
| nuke | 13–6 | 0.01 | 20% | 5 Jul → | |
| anubis | 10–13 | 0.05 | 17% | 5 Jul → | |
| dust2 | 10–13 | -0.03 | 18% | 4 Jul → | |
| dust2 | 7–13 | 0.09 | 16% | 20 Jun → | |
| inferno | 13–11 | 0.01 | 18% | 20 Jun → | |
| dust2 | 12–12 | 0.00 | 13% | 19 Jun → | |
| nuke | 6–13 | 0.08 | 28% | 19 Jun → | |
| mirage | 12–12 | 0.02 | 2% | 18 Jun → | |
| cache | 6–13 | -0.01 | 11% | 17 Jun → | |
| cache | 2–7 | 0.01 | 21% | 17 Jun → | |
| dust2 | 13–3 | -0.00 | 18% | 17 Jun → | |
| train | 13–9 | 0.09 | 22% | 17 Jun → | |
| vertigo | 13–10 | -0.00 | 14% | 16 Jun → | |
| nuke | 13–10 | 0.02 | 28% | 16 Jun → | |
| inferno | 13–4 | 0.12 | 16% | 16 Jun → | |
| overpass | 13–2 | 0.02 | 22% | 15 Jun → | |
| mirage | 13–5 | 0.07 | 14% | 15 Jun → | |
| cache | 13–3 | -0.01 | 15% | 15 Jun → | |
| ancient | 10–13 | -0.01 | 20% | 15 Jun → | |
| dust2 | 2–13 | -0.04 | 19% | 15 Jun → | |
| cache | 13–8 | 0.06 | 28% | 11 Jun → | |
| dust2 | 13–4 | 0.16 | 23% | 11 Jun → | |
| overpass | 13–4 | 0.06 | 7% | 7 Jun → | |
| dust2 | 13–8 | 0.07 | 17% | 7 Jun → | |
| mirage | 7–13 | -0.06 | 18% | 7 Jun → | |
| dust2 | 11–13 | 0.14 | 15% | 7 Jun → | |
| train | 13–11 | 0.10 | 9% | 6 Jun → | |
| overpass | 13–9 | 0.09 | 12% | 6 Jun → | |
| ancient | 10–13 | 0.00 | 13% | 6 Jun → | |
| nuke | 4–13 | 0.02 | 8% | 6 Jun → | |
| vertigo | 9–13 | 0.01 | 15% | 6 Jun → | |
| inferno | 8–13 | -0.05 | 13% | 5 Jun → | |
| anubis | 6–13 | 0.03 | 12% | 5 Jun → | |
| train | 13–11 | 0.03 | 6% | 1 Jun → | |
| mirage | 7–13 | -0.00 | 15% | 31 May → | |
| anubis | 10–13 | -0.02 | 14% | 31 May → | |
| cache | 12–12 | -0.00 | 14% | 31 May → | |
| dust2 | 4–13 | -0.01 | 15% | 31 May → | |
| overpass | 3–13 | -0.04 | 8% | 25 May → | |
| mirage | 12–12 | 0.06 | 19% | 25 May → | |
| ancient | 13–3 | 0.15 | 20% | 25 May → | |
| dust2 | 13–1 | 0.07 | 7% | 25 May → | |
| cache | 13–1 | 0.02 | 17% | 25 May → | |
| inferno | 13–6 | 0.04 | 17% | 23 May → | |
| vertigo | 13–4 | 0.11 | 19% | 23 May → | |
| ancient | 13–11 | -0.02 | 10% | 22 May → | |
| cache | 13–3 | -0.02 | 11% | 22 May → | |
| anubis | 13–11 | 0.06 | 21% | 22 May → | |
| mirage | 13–1 | 0.18 | 16% | 22 May → | |
| overpass | 11–13 | 0.02 | 17% | 21 May → | |
| cache | 13–11 | -0.03 | 17% | 18 May → | |
| anubis | 8–13 | 0.01 | 15% | 3 May → | |
| ancient | 13–11 | 0.09 | 11% | 3 May → | |
| overpass | 13–11 | 0.05 | 14% | 2 May → | |
| cache | 8–13 | -0.01 | 13% | 2 May → | |
| dust2 | 10–13 | -0.00 | 20% | 2 May → | |
| dust2 | 13–10 | 0.01 | 12% | 29 Apr → | |
| cache | 13–7 | 0.01 | 17% | 29 Apr → | |
| cache | 13–9 | -0.03 | 14% | 28 Apr → | |
| cache | 13–11 | -0.01 | 13% | 28 Apr → | |
| anubis | 7–13 | 0.02 | 20% | 27 Apr → | |
| dust2 | 13–11 | 0.03 | 17% | 27 Apr → | |
| train | 10–13 | 0.03 | 26% | 26 Apr → | |
| overpass | 12–12 | 0.11 | 24% | 15 Mar → | |
| mirage | 9–13 | 0.06 | 17% | 15 Mar → | |
| nuke | 6–13 | 0.03 | 10% | 15 Mar → | |
| dust2 | 6–13 | 0.03 | 22% | 15 Mar → | |
| mirage | 9–13 | 0.06 | 18% | 11 Mar → | |
| inferno | 9–13 | 0.09 | 8% | 11 Mar → | |
| vertigo | 13–3 | 0.07 | 12% | 11 Mar → | |
| train | 5–0 | 0.03 | 9% | 11 Mar → | |
| ancient | 9–13 | 0.02 | 17% | 10 Mar → | |
| overpass | 13–5 | 0.05 | 16% | 10 Mar → | |
| dust2 | 8–13 | 0.02 | 12% | 10 Mar → | |
| vertigo | 11–13 | 0.01 | 10% | 22 Feb → | |
| inferno | 4–13 | -0.04 | 17% | 22 Nov → | |
| dust2 | 13–11 | 0.18 | 23% | 20 Aug → | |
| agency | 0–4 | 0.11 | 38% | 12 Jun → | |
| jura | 12–12 | -0.01 | 24% | 18 May → | |
| grail | 6–13 | 0.05 | 18% | 18 May → | |
| agency | 6–13 | 0.00 | 40% | 18 May → | |
| dust2 | 11–13 | -0.04 | 3% | 9 Apr → | |
| train | 13–11 | 0.02 | 8% | 9 Apr → | |
| train | 6–13 | -0.05 | 9% | 2 Apr → |
Match data via Leetify.