Slamming Avant-Cyber Shitgrind — CS2 Stats
76561198011121967[U:1:50856239]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=673), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 52.9% | 41.2% | 42.2% | above |
| Shot accuracy | 3.1% | 12.5% | 11.9% | 8.7% short |
| Kill/death ratio | 1.17 | 0.96 | 0.98 | above |
| Match win rate | 39.8% | 42.8% | 43.6% | 3.7% short |
This profile matches the typical Level 3 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 3 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 · -0.08 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 73% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower utility contribution; 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
Reaction time. 711ms 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 4.2/10 (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 | 27 | 11–16 | 41% | -0.02 |
 mirage | C | 13 | 5–8 | 38% | -0.01 |
 nuke | B | 13 | 6–7 | 46% | -0.02 |
 inferno | D | 10 | 3–7 | 30% | -0.01 |
 ancient | D | 9 | 3–6 | 33% | -0.01 |
 dust2 | C | 9 | 4–5 | 44% | 0.00 |
 overpass | S | 8 | 7–1 | 88% | -0.01 |
 anubis | S | 5 | 4–1 | 80% | -0.04 |
| office | — | 2 | 1–1 | 50% | -0.06 |
 vertigo | — | 1 | 1–0 | 100% | 0.02 |
| shelter | — | 1 | 0–1 | 0% | -0.01 |
| boulder | — | 1 | 0–1 | 0% | 0.09 |
 train | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 14 | 36% | 0.65 | 9.6 |
| Nuke | 14 | 50% | 0.73 | 12.6 |
| Cache | 13 | 38% | 0.77 | 12.0 |
| Ancient | 13 | 38% | 0.76 | 10.9 |
| Mirage | 11 | 27% | 0.70 | 10.4 |
| Overpass | 10 | 80% | 0.82 | 13.7 |
| Dust2 | 9 | 56% | 0.68 | 9.8 |
| Anubis | 4 | 75% | 1.51 | 14.8 |
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 710.9494ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4309 — below the 0.5 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 29.3199% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 1–13 | -0.09 | 24% | 21 Aug → | |
| dust2 | 8–13 | -0.00 | 16% | 21 Aug → | |
| cache | 1–13 | -0.09 | 16% | 4 Aug → | |
| ancient | 7–13 | -0.08 | 17% | 4 Aug → | |
| mirage | 10–13 | -0.04 | 28% | 4 Aug → | |
| vertigo | 13–9 | 0.02 | 17% | 29 Jul → | |
| dust2 | 8–13 | -0.02 | 43% | 29 Jul → | |
| nuke | 2–13 | -0.09 | 7% | 29 Jul → | |
| mirage | 6–13 | -0.07 | 25% | 27 Jul → | |
| anubis | 13–5 | -0.06 | 21% | 26 Jul → | |
| nuke | 13–8 | -0.04 | 10% | 26 Jul → | |
| mirage | 7–13 | 0.05 | 13% | 15 Jul → | |
| inferno | 9–13 | 0.05 | 27% | 15 Jul → | |
| dust2 | 13–9 | 0.02 | 22% | 14 Jul → | |
| cache | 7–13 | -0.00 | 17% | 14 Jul → | |
| dust2 | 9–13 | 0.13 | 23% | 14 Jul → | |
| mirage | 13–3 | 0.06 | 29% | 14 Jul → | |
| shelter | 7–13 | -0.01 | 21% | 9 Jul → | |
| inferno | 2–13 | -0.05 | 17% | 9 Jul → | |
| boulder | 9–13 | 0.09 | 19% | 9 Jul → | |
| nuke | 13–3 | 0.09 | 20% | 9 Jul → | |
| overpass | 13–0 | 0.11 | 24% | 2 Jul → | |
| cache | 13–9 | -0.05 | 21% | 2 Jul → | |
| cache | 13–6 | 0.04 | 31% | 2 Jul → | |
| nuke | 16–14 | -0.03 | 17% | 1 Jul → | |
| inferno | 13–8 | 0.06 | 26% | 1 Jul → | |
| nuke | 10–13 | -0.03 | 20% | 1 Jul → | |
| cache | 13–2 | -0.01 | 18% | 30 Jun → | |
| cache | 16–12 | 0.00 | 15% | 25 Jun → | |
| mirage | 13–6 | -0.01 | 23% | 25 Jun → | |
| dust2 | 13–10 | -0.04 | 22% | 24 Jun → | |
| cache | 3–13 | -0.07 | 30% | 24 Jun → | |
| mirage | 13–11 | -0.01 | 15% | 24 Jun → | |
| anubis | 10–13 | -0.07 | 21% | 23 Jun → | |
| ancient | 16–12 | -0.00 | 14% | 18 Jun → | |
| anubis | 13–11 | -0.02 | 24% | 18 Jun → | |
| ancient | 9–13 | -0.02 | 15% | 16 Jun → | |
| cache | 13–4 | -0.01 | 33% | 16 Jun → | |
| nuke | 9–13 | -0.01 | 18% | 16 Jun → | |
| overpass | 13–9 | -0.06 | 15% | 16 Jun → | |
| mirage | 9–13 | -0.01 | 13% | 15 Jun → | |
| cache | 5–13 | 0.05 | 16% | 15 Jun → | |
| ancient | 13–3 | 0.11 | 30% | 15 Jun → | |
| cache | 12–12 | -0.04 | 29% | 15 Jun → | |
| cache | 10–13 | -0.06 | 25% | 15 Jun → | |
| cache | 13–16 | -0.06 | 22% | 15 Jun → | |
| mirage | 11–13 | -0.03 | 13% | 11 Jun → | |
| inferno | 11–13 | -0.00 | 18% | 11 Jun → | |
| cache | 13–10 | 0.01 | 17% | 10 Jun → | |
| dust2 | 16–12 | -0.05 | 20% | 10 Jun → | |
| overpass | 16–14 | -0.03 | 29% | 9 Jun → | |
| mirage | 6–13 | -0.04 | 8% | 6 Jun → | |
| cache | 8–13 | 0.00 | 20% | 6 Jun → | |
| inferno | 13–8 | -0.04 | 15% | 6 Jun → | |
| overpass | 13–6 | 0.05 | 15% | 28 May → | |
| cache | 12–12 | -0.01 | 26% | 28 May → | |
| cache | 13–9 | 0.03 | 13% | 25 May → | |
| nuke | 13–10 | -0.07 | 11% | 23 May → | |
| ancient | 11–13 | -0.01 | 25% | 23 May → | |
| cache | 7–13 | -0.03 | 21% | 23 May → | |
| cache | 10–13 | -0.01 | 19% | 21 May → | |
| overpass | 6–13 | -0.01 | 29% | 21 May → | |
| ancient | 11–13 | -0.03 | 10% | 20 May → | |
| dust2 | 6–13 | -0.01 | 9% | 20 May → | |
| cache | 13–3 | 0.03 | 12% | 19 May → | |
| mirage | 12–12 | 0.02 | 15% | 19 May → | |
| cache | 13–4 | 0.04 | 20% | 19 May → | |
| office | 13–9 | -0.03 | 15% | 19 May → | |
| nuke | 16–12 | 0.03 | 20% | 16 May → | |
| nuke | 3–13 | -0.05 | 23% | 16 May → | |
| overpass | 13–11 | -0.00 | 21% | 14 May → | |
| ancient | 5–13 | -0.05 | 22% | 14 May → | |
| nuke | 12–12 | 0.03 | 18% | 13 May → | |
| mirage | 13–8 | 0.03 | 15% | 13 May → | |
| dust2 | 13–6 | 0.02 | 16% | 13 May → | |
| cache | 4–13 | 0.00 | 26% | 13 May → | |
| nuke | 9–13 | -0.01 | 18% | 13 May → | |
| office | 6–13 | -0.08 | 24% | 13 May → | |
| anubis | 13–10 | -0.01 | 17% | 13 May → | |
| ancient | 13–8 | 0.04 | 16% | 9 May → | |
| inferno | 6–13 | -0.10 | 20% | 9 May → | |
| cache | 16–14 | -0.01 | 11% | 7 May → | |
| anubis | 13–9 | -0.04 | 15% | 4 May → | |
| nuke | 4–13 | -0.09 | 14% | 4 May → | |
| inferno | 3–13 | -0.04 | 27% | 4 May → | |
| cache | 10–13 | -0.05 | 26% | 30 Apr → | |
| overpass | 13–10 | -0.12 | 14% | 30 Apr → | |
| cache | 3–13 | -0.06 | 13% | 30 Apr → | |
| cache | 11–13 | -0.10 | 12% | 29 Apr → | |
| cache | 6–13 | -0.03 | 15% | 29 Apr → | |
| cache | 13–9 | -0.03 | 11% | 29 Apr → | |
| mirage | 12–12 | -0.05 | 12% | 23 Apr → | |
| train | 9–13 | -0.05 | 18% | 23 Apr → | |
| mirage | 13–1 | -0.02 | 17% | 23 Apr → | |
| overpass | 13–7 | 0.01 | 19% | 23 Apr → | |
| inferno | 0–13 | -0.09 | 5% | 23 Apr → | |
| inferno | 13–9 | 0.03 | 18% | 21 Apr → | |
| nuke | 13–11 | 0.03 | 10% | 19 Apr → | |
| dust2 | 10–13 | -0.05 | 18% | 19 Apr → | |
| inferno | 8–13 | 0.07 | 19% | 19 Apr → |
Match data via Leetify.
