i have nbn and lag and am shit — CS2 Stats
76561198053797395[U:1:93531667]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 88 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 29 | 13–16 | 45% | 0.01 | |
| B | 26 | 14–12 | 54% | 0.01 | |
| S | 15 | 10–5 | 67% | 0.02 | |
| S | 9 | 8–1 | 89% | 0.04 | |
| S | 8 | 6–2 | 75% | 0.03 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| S | 6 | 5–1 | 83% | -0.00 | |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (45% over 29). Start with the 6 essential Dust 2 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 23 | 61% | 1.26 | 16.6 |
| Dust2 | 13 | 92% | 1.51 | 18.9 |
| Nuke | 10 | 60% | 1.38 | 19.4 |
| Ancient | 9 | 67% | 1.58 | 18.8 |
| Cache | 8 | 38% | 1.06 | 16.5 |
| Anubis | 7 | 29% | 1.14 | 14.9 |
| Inferno | 4 | 0% | 1.52 | 22.5 |
| Overpass | 2 | 100% | 1.28 | 20.0 |
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 0.4932 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
45% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.02 | 19% | 26 Aug → | ||
| 13–6 | -0.00 | 16% | 25 Aug → | ||
| 13–11 | 0.02 | 18% | 25 Aug → | ||
| 13–1 | 0.04 | 29% | 25 Aug → | ||
| 9–13 | -0.01 | 38% | 25 Aug → | ||
| 16–13 | -0.02 | 14% | 25 Aug → | ||
| 15–15 | 0.01 | 31% | 25 Aug → | ||
| 13–4 | 0.05 | 28% | 25 Aug → | ||
| 13–10 | 0.04 | 42% | 24 Aug → | ||
| 13–3 | 0.04 | 25% | 24 Aug → | ||
| 5–13 | -0.04 | 33% | 12 Aug → | ||
| 13–9 | 0.06 | 20% | 25 Jul → | ||
| 13–6 | 0.10 | 27% | 25 Jul → | ||
| 11–13 | 0.12 | 23% | 25 Jul → | ||
| 0–13 | -0.04 | 0% | 25 Jul → | ||
| 1–1 | -0.07 | 0% | 25 Jul → | ||
| 13–6 | 0.04 | 11% | 25 Jul → | ||
| 13–10 | -0.09 | 25% | 17 Jul → | ||
| 13–6 | 0.17 | 31% | 17 Jul → | ||
| 13–10 | 0.03 | 22% | 17 Jul → | ||
| 13–6 | 0.09 | 31% | 17 Jul → | ||
| 13–6 | -0.07 | 48% | 16 Jul → | ||
| 1–13 | -0.06 | 25% | 16 Jul → | ||
| 13–2 | 0.12 | 35% | 15 Jul → | ||
| 13–7 | 0.05 | 19% | 14 Jul → | ||
| 13–5 | 0.10 | 27% | 13 Jul → | ||
| 9–13 | -0.00 | 23% | 12 Jul → | ||
| 6–13 | 0.03 | 33% | 6 Jul → | ||
| 2–5 | -0.04 | 29% | 5 Jul → | ||
| 10–13 | -0.04 | 21% | 5 Jul → | ||
| 11–13 | -0.03 | 27% | 4 Jul → | ||
| 7–13 | -0.01 | 31% | 4 Jul → | ||
| 7–13 | -0.00 | 27% | 4 Jul → | ||
| 4–13 | -0.08 | 27% | 2 Jul → | ||
| 15–15 | 0.02 | 14% | 2 Jul → | ||
| 13–5 | 0.02 | 64% | 1 Jul → | ||
| 13–10 | -0.01 | 56% | 1 Jul → | ||
| 13–6 | 0.03 | 18% | 1 Jul → | ||
| 13–7 | 0.01 | 23% | 28 Jun → | ||
| 10–13 | 0.01 | 18% | 28 Jun → | ||
| 13–11 | 0.02 | 13% | 27 Jun → | ||
| 11–13 | 0.00 | 18% | 27 Jun → | ||
| 13–6 | 0.01 | 21% | 26 Jun → | ||
| 13–11 | -0.02 | 13% | 25 Jun → | ||
| 7–13 | 0.04 | 48% | 24 Jun → | ||
| 13–9 | 0.02 | 15% | 22 Jun → | ||
| 13–6 | 0.05 | 15% | 22 Jun → | ||
| 13–1 | 0.04 | 33% | 22 Jun → | ||
| 13–8 | -0.04 | 30% | 22 Jun → | ||
| 2–13 | -0.07 | 38% | 22 Jun → | ||
| 16–14 | 0.01 | 27% | 18 Jun → | ||
| 13–7 | 0.07 | 14% | 17 Jun → | ||
| 13–11 | -0.00 | 13% | 17 Jun → | ||
| 13–5 | 0.10 | 30% | 16 Jun → | ||
| 10–13 | -0.00 | 16% | 16 Jun → | ||
| 16–13 | 0.02 | 17% | 15 Jun → | ||
| 13–10 | -0.03 | 10% | 15 Jun → | ||
| 11–13 | 0.04 | 25% | 15 Jun → | ||
| 13–9 | 0.01 | 18% | 15 Jun → | ||
| 13–11 | 0.09 | 38% | 15 Jun → | ||
| 7–13 | -0.01 | 23% | 15 Jun → | ||
| 11–13 | -0.02 | 16% | 15 Jun → | ||
| 13–9 | 0.00 | 21% | 14 Jun → | ||
| 13–8 | 0.04 | 23% | 14 Jun → | ||
| 11–13 | -0.01 | 24% | 13 Jun → | ||
| 13–6 | -0.07 | 24% | 10 Jun → | ||
| 7–3 | 0.02 | 29% | 10 Jun → | ||
| 0–13 | -0.09 | 0% | 10 Jun → | ||
| 13–11 | -0.01 | 17% | 10 Jun → | ||
| 13–6 | 0.00 | 24% | 8 Jun → | ||
| 13–1 | 0.02 | 42% | 7 Jun → | ||
| 16–12 | 0.01 | 27% | 6 Jun → | ||
| 13–11 | 0.09 | 32% | 4 Jun → | ||
| 13–0 | 0.10 | 13% | 4 Jun → | ||
| 6–13 | -0.08 | 20% | 4 Jun → | ||
| 9–13 | 0.01 | 27% | 4 Jun → | ||
| 15–15 | -0.01 | 27% | 3 Jun → | ||
| 13–7 | -0.04 | 16% | 3 Jun → | ||
| 7–13 | -0.03 | 25% | 3 Jun → | ||
| 13–9 | 0.10 | 12% | 2 Jun → | ||
| 7–13 | 0.03 | 32% | 1 Jun → | ||
| 13–9 | -0.03 | 33% | 1 Jun → | ||
| 13–3 | 0.00 | 22% | 31 May → | ||
| 14–16 | 0.00 | 29% | 31 May → | ||
| 13–6 | 0.03 | 42% | 31 May → | ||
| 10–13 | 0.04 | 35% | 31 May → | ||
| 10–13 | -0.00 | 43% | 31 May → | ||
| 0–13 | -0.05 | 0% | 27 May → | ||
| 11–13 | 0.03 | 27% | 27 May → | ||
| 13–11 | 0.06 | 22% | 26 May → | ||
| 13–5 | 0.05 | 22% | 26 May → | ||
| 0–13 | -0.07 | 0% | 25 May → | ||
| 13–6 | 0.03 | 24% | 25 May → | ||
| 6–13 | -0.00 | 23% | 25 May → | ||
| 13–11 | 0.00 | 16% | 25 May → | ||
| 11–13 | -0.01 | 28% | 25 May → | ||
| 3–13 | 0.00 | 17% | 25 May → | ||
| 0–2 | 0.09 | 33% | 25 May → | ||
| 13–4 | 0.04 | 33% | 25 May → | ||
| 16–14 | 0.04 | 34% | 25 May → |
Match data via Leetify.