Greg but THICC — CS2 Stats
76561198208868991[U:1:248603263]Steam profile ↗
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 | vs Level 2 |
|---|---|---|---|
| Headshot rate | 32.9% | 42.1% | 9.3% short |
| Shot accuracy | 13.2% | 12.9% | above |
| Kill/death ratio | 0.81 | 1.00 | 0.19 short |
| Match win rate | 37.9% | 42.9% | 5.0% short |
This profile matches the typical Level 2 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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: +0pp win rate · +0.00 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 74% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 676ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.4/10 (Learning), 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 |
|---|---|---|---|---|---|
| B | 27 | 13–14 | 48% | -0.01 | |
| B | 19 | 9–10 | 47% | 0.01 | |
| C | 17 | 6–11 | 35% | -0.02 | |
| B | 16 | 8–8 | 50% | -0.00 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| C | 9 | 4–5 | 44% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| — | 1 | 0–1 | 0% | -0.12 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 0.92 | 16.0 |
| Dust2 | 2 | 0% | 0.74 | 14.5 |
| Nuke | 2 | 0% | 0.72 | 11.5 |
| Vertigo | 1 | 0% | 0.89 | 17.0 |
| Inferno | 1 | 100% | 0.41 | 7.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.8613% — below the 15% 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 0.2052 — 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 30.6993% — 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.
35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.17 | 20% | 28 Aug → | ||
| 7–13 | -0.03 | 25% | 27 Aug → | ||
| 8–13 | -0.07 | 11% | 18 Aug → | ||
| 12–12 | -0.04 | 13% | 18 Aug → | ||
| 8–13 | -0.05 | 21% | 9 Aug → | ||
| 13–8 | -0.00 | 14% | 8 Aug → | ||
| 13–9 | -0.01 | 11% | 8 Aug → | ||
| 3–13 | -0.01 | 10% | 8 Aug → | ||
| 13–9 | 0.02 | 14% | 6 Aug → | ||
| 13–5 | 0.04 | 13% | 6 Aug → | ||
| 8–13 | -0.04 | 16% | 5 Aug → | ||
| 12–12 | -0.06 | 11% | 28 Jul → | ||
| 10–13 | 0.01 | 21% | 28 Jul → | ||
| 13–9 | 0.09 | 17% | 22 Jul → | ||
| 4–13 | 0.00 | 11% | 22 Jul → | ||
| 13–8 | -0.04 | 10% | 17 Jul → | ||
| 13–7 | -0.02 | 10% | 17 Jul → | ||
| 8–13 | 0.05 | 9% | 17 Jul → | ||
| 13–2 | -0.00 | 15% | 16 Jul → | ||
| 13–1 | 0.01 | 20% | 16 Jul → | ||
| 13–6 | -0.02 | 7% | 16 Jul → | ||
| 13–10 | -0.01 | 15% | 16 Jul → | ||
| 7–13 | -0.04 | 15% | 15 Jul → | ||
| 16–13 | 0.04 | 11% | 15 Jul → | ||
| 7–13 | -0.04 | 19% | 15 Jul → | ||
| 5–13 | -0.11 | 0% | 15 Jul → | ||
| 13–6 | 0.04 | 18% | 15 Jul → | ||
| 1–13 | -0.05 | 0% | 15 Jul → | ||
| 13–3 | -0.02 | 12% | 15 Jul → | ||
| 13–5 | 0.02 | 24% | 14 Jul → | ||
| 11–13 | -0.06 | 15% | 9 Jul → | ||
| 13–1 | 0.10 | 22% | 9 Jul → | ||
| 16–14 | 0.01 | 4% | 9 Jul → | ||
| 13–4 | 0.04 | 13% | 9 Jul → | ||
| 14–16 | -0.03 | 8% | 9 Jul → | ||
| 13–4 | 0.01 | 11% | 9 Jul → | ||
| 4–13 | 0.09 | 21% | 9 Jul → | ||
| 12–12 | 0.02 | 16% | 7 Jul → | ||
| 13–5 | 0.00 | 19% | 7 Jul → | ||
| 1–13 | -0.04 | 19% | 7 Jul → | ||
| 13–5 | 0.05 | 14% | 7 Jul → | ||
| 13–11 | -0.03 | 18% | 6 Jul → | ||
| 13–4 | 0.07 | 8% | 30 Jun → | ||
| 9–13 | -0.11 | 3% | 16 Jun → | ||
| 6–13 | 0.00 | 17% | 16 Jun → | ||
| 13–4 | -0.02 | 11% | 14 Jun → | ||
| 13–11 | 0.03 | 9% | 14 Jun → | ||
| 13–6 | 0.05 | 13% | 13 Jun → | ||
| 2–6 | 0.02 | 20% | 12 Jun → | ||
| 13–11 | 0.01 | 12% | 12 Jun → | ||
| 5–13 | -0.01 | 7% | 12 Jun → | ||
| 4–13 | -0.04 | 3% | 11 Jun → | ||
| 15–15 | 0.02 | 14% | 11 Jun → | ||
| 5–13 | -0.08 | 8% | 10 Jun → | ||
| 13–9 | -0.05 | 8% | 9 Jun → | ||
| 15–15 | 0.03 | 14% | 9 Jun → | ||
| 13–3 | 0.03 | 21% | 9 Jun → | ||
| 14–16 | 0.00 | 13% | 8 Jun → | ||
| 0–8 | -0.11 | 0% | 7 Jun → | ||
| 7–13 | 0.08 | 16% | 7 Jun → | ||
| 8–13 | -0.03 | 26% | 6 Jun → | ||
| 8–13 | -0.05 | 5% | 6 Jun → | ||
| 8–13 | -0.04 | 8% | 5 Jun → | ||
| 3–13 | -0.01 | 13% | 26 May → | ||
| 4–13 | -0.12 | 7% | 26 May → | ||
| 13–6 | -0.01 | 9% | 26 May → | ||
| 8–13 | -0.06 | 8% | 19 May → | ||
| 9–13 | -0.08 | 4% | 14 May → | ||
| 13–11 | -0.04 | 15% | 16 Apr → | ||
| 5–13 | -0.08 | 18% | 23 Mar → | ||
| 13–7 | 0.02 | 10% | 20 Mar → | ||
| 13–8 | -0.06 | 20% | 23 Feb → | ||
| 5–13 | -0.02 | 13% | 22 Feb → | ||
| 10–13 | -0.00 | 14% | 11 Feb → | ||
| 6–13 | 0.02 | 13% | 10 Feb → | ||
| 5–13 | -0.02 | 10% | 10 Feb → | ||
| 13–10 | -0.01 | 14% | 3 Feb → | ||
| 15–15 | -0.02 | 11% | 30 Jan → | ||
| 7–13 | -0.04 | 7% | 29 Jan → | ||
| 13–7 | 0.07 | 21% | 28 Jan → | ||
| 10–13 | 0.07 | 13% | 20 Jan → | ||
| 13–7 | -0.08 | 11% | 20 Jan → | ||
| 3–13 | -0.06 | 10% | 11 Jan → | ||
| 13–11 | 0.00 | 16% | 11 Jan → | ||
| 4–13 | -0.03 | 25% | 9 Jan → | ||
| 10–13 | 0.05 | 21% | 8 Jan → | ||
| 10–13 | -0.05 | 14% | 8 Jan → | ||
| 3–13 | -0.05 | 10% | 8 Jan → | ||
| 13–8 | -0.01 | 17% | 8 Jan → | ||
| 13–10 | -0.03 | 10% | 8 Jan → | ||
| 13–8 | 0.06 | 8% | 7 Jan → | ||
| 13–8 | 0.04 | 10% | 7 Jan → | ||
| 13–5 | 0.07 | 13% | 7 Jan → | ||
| 11–13 | -0.06 | 15% | 7 Jan → | ||
| 4–13 | -0.05 | 17% | 6 Jan → | ||
| 13–9 | 0.01 | 10% | 6 Jan → | ||
| 13–8 | -0.00 | 8% | 6 Jan → | ||
| 6–13 | -0.06 | 9% | 6 Jan → | ||
| 13–6 | -0.01 | 18% | 5 Jan → | ||
| 15–15 | 0.05 | 8% | 5 Jan → |
Match data via Leetify.