☁ iCodyL — CS2 Stats
BR76561198072632930[U:1:112367202]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 44.0% | 48.1% |
| Shot accuracy | 18.8% | 12.9% |
| Kill/death ratio | 1.26 | 1.08 |
| Match win rate | 31.8% | 46.5% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 52% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 561ms 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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| C | 22 | 9–13 | 41% | 0.03 | |
| B | 19 | 9–10 | 47% | 0.01 | |
| A | 14 | 9–5 | 64% | 0.04 | |
| A | 13 | 8–5 | 62% | 0.04 | |
| office | B | 10 | 5–5 | 50% | 0.06 |
| B | 8 | 4–4 | 50% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.05 | |
| S | 5 | 4–1 | 80% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). 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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 4 | 50% | 1.01 | 15.5 |
| Mirage | 2 | 100% | 2.16 | 17.5 |
| Inferno | 2 | 0% | 0.89 | 14.0 |
| Nuke | 1 | 100% | 3.00 | 24.0 |
| Anubis | 1 | 100% | 2.25 | 18.0 |
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.
- 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 0.3229 — 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 35.9643% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.08 | 18% | 22 Aug → | ||
| 13–6 | 0.00 | 29% | 21 Aug → | ||
| 13–10 | -0.03 | 22% | 16 Aug → | ||
| 13–11 | -0.01 | 13% | 16 Aug → | ||
| 9–13 | 0.00 | 29% | 16 Aug → | ||
| 10–6 | -0.01 | 38% | 15 Aug → | ||
| 13–11 | 0.03 | 16% | 9 Aug → | ||
| 11–13 | 0.02 | 39% | 9 Aug → | ||
| 9–13 | 0.03 | 21% | 9 Aug → | ||
| 10–13 | 0.06 | 32% | 9 Aug → | ||
| 2–13 | 0.00 | 41% | 9 Aug → | ||
| 13–6 | 0.06 | 30% | 9 Aug → | ||
| 7–13 | 0.06 | 24% | 9 Aug → | ||
| 9–13 | -0.02 | 36% | 9 Aug → | ||
| 7–13 | -0.03 | 21% | 9 Aug → | ||
| 13–9 | -0.04 | 25% | 7 Aug → | ||
| 7–13 | -0.01 | 16% | 7 Aug → | ||
| 16–13 | 0.02 | 39% | 7 Aug → | ||
| 13–11 | 0.02 | 27% | 4 Aug → | ||
| 5–13 | -0.03 | 24% | 4 Aug → | ||
| 7–3 | -0.02 | 9% | 4 Aug → | ||
| 13–3 | 0.06 | 18% | 1 Aug → | ||
| 13–10 | 0.05 | 22% | 31 Jul → | ||
| office | 11–13 | -0.03 | 48% | 31 Jul → | |
| office | 13–9 | 0.09 | 33% | 21 Jul → | |
| office | 13–3 | 0.11 | 50% | 21 Jul → | |
| 13–6 | 0.01 | 41% | 11 Jul → | ||
| 5–13 | -0.03 | 37% | 11 Jul → | ||
| office | 7–13 | -0.08 | 32% | 11 Jul → | |
| 4–13 | 0.07 | 38% | 11 Jul → | ||
| office | 10–13 | -0.00 | 33% | 11 Jul → | |
| office | 13–7 | 0.11 | 36% | 11 Jul → | |
| 11–13 | -0.04 | 20% | 10 Jul → | ||
| 13–3 | -0.00 | 15% | 10 Jul → | ||
| 2–13 | -0.09 | 13% | 10 Jul → | ||
| 0–8 | -0.09 | 8% | 10 Jul → | ||
| 13–5 | 0.08 | 13% | 10 Jul → | ||
| 13–8 | 0.02 | 28% | 10 Jul → | ||
| 13–4 | 0.06 | 30% | 6 Jul → | ||
| office | 13–3 | 0.13 | 23% | 6 Jul → | |
| office | 11–13 | 0.06 | 42% | 5 Jul → | |
| 11–13 | -0.01 | 17% | 5 Jul → | ||
| 13–10 | 0.14 | 32% | 5 Jul → | ||
| 0–8 | -0.02 | 14% | 5 Jul → | ||
| office | 12–12 | 0.09 | 18% | 4 Jul → | |
| office | 13–6 | 0.12 | 42% | 4 Jul → | |
| 6–13 | 0.06 | 22% | 31 May → | ||
| 4–13 | 0.02 | 25% | 31 May → | ||
| 13–3 | 0.18 | 29% | 17 May → | ||
| 10–13 | -0.01 | 51% | 17 May → | ||
| 8–13 | 0.07 | 35% | 17 May → | ||
| 7–13 | -0.01 | 29% | 16 May → | ||
| 2–13 | -0.02 | 26% | 16 May → | ||
| 12–12 | 0.11 | 43% | 16 May → | ||
| 13–3 | 0.18 | 31% | 15 May → | ||
| 13–3 | 0.02 | 24% | 6 May → | ||
| 13–11 | 0.06 | 29% | 3 May → | ||
| 13–9 | 0.11 | 22% | 27 Apr → | ||
| 13–5 | 0.19 | 31% | 27 Apr → | ||
| 2–13 | -0.04 | 22% | 27 Apr → | ||
| 15–15 | -0.00 | 21% | 25 Apr → | ||
| 12–12 | -0.03 | 26% | 21 Apr → | ||
| 10–2 | 0.11 | 26% | 21 Apr → | ||
| 13–11 | 0.02 | 30% | 21 Apr → | ||
| 8–13 | 0.02 | 17% | 21 Apr → | ||
| 8–13 | 0.00 | 17% | 19 Apr → | ||
| 13–4 | 0.07 | 21% | 19 Apr → | ||
| 2–13 | -0.00 | 27% | 19 Apr → | ||
| 13–0 | 0.09 | 25% | 19 Apr → | ||
| 13–7 | -0.06 | 12% | 19 Apr → | ||
| 6–13 | -0.10 | 22% | 19 Apr → | ||
| 13–8 | 0.04 | 19% | 19 Apr → | ||
| 8–13 | -0.02 | 11% | 19 Apr → | ||
| 13–4 | 0.04 | 22% | 19 Apr → | ||
| 10–13 | 0.10 | 20% | 11 Apr → | ||
| 13–11 | 0.03 | 20% | 10 Apr → | ||
| 6–13 | 0.04 | 20% | 10 Apr → | ||
| 9–13 | -0.00 | 38% | 8 Apr → | ||
| 13–10 | -0.00 | 15% | 8 Apr → | ||
| 6–13 | 0.01 | 20% | 29 Mar → | ||
| 13–2 | 0.18 | 38% | 29 Mar → | ||
| 13–9 | 0.08 | 19% | 29 Mar → | ||
| 16–12 | 0.01 | 19% | 27 Mar → | ||
| 13–10 | 0.02 | 25% | 26 Mar → | ||
| 13–8 | -0.01 | 27% | 25 Mar → | ||
| 13–6 | 0.11 | 22% | 25 Mar → | ||
| 13–10 | 0.05 | 18% | 23 Mar → | ||
| 9–13 | 0.06 | 29% | 23 Mar → | ||
| 11–13 | 0.09 | 33% | 22 Mar → | ||
| 10–13 | 0.05 | 27% | 22 Mar → | ||
| 7–13 | 0.10 | 21% | 22 Mar → | ||
| 10–13 | 0.04 | 13% | 22 Mar → | ||
| 6–2 | 0.02 | 23% | 22 Mar → | ||
| 13–10 | 0.05 | 15% | 20 Mar → | ||
| 6–13 | -0.01 | 25% | 20 Mar → | ||
| 13–10 | 0.10 | 31% | 20 Mar → | ||
| 13–5 | 0.14 | 26% | 14 Mar → | ||
| 13–10 | 0.02 | 31% | 13 Mar → | ||
| 7–1 | -0.01 | 25% | 13 Mar → | ||
| 8–13 | -0.04 | 20% | 13 Mar → |
Match data via Leetify.