The Drink — CS2 Stats
76561198123327957[U:1:163062229]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 52.5% | 52.8% | meets |
| Shot accuracy | 3.8% | 13.7% | 9.9% short |
| Kill/death ratio | 0.82 | 1.08 | 0.27 short |
| Match win rate | 47.2% | 49.2% | 2.0% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes
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 device 95% playstyle similarity
Most alike: positioning profile, opening-duel success.
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 90 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Flashes. 0.88 enemies blinded per flash — utility that consistently lands.
Areas to improve
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 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 566ms 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 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 30 | 13–17 | 43% | 0.00 | |
| B | 23 | 11–12 | 48% | 0.03 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| D | 8 | 1–7 | 13% | 0.00 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (13% over 8). 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 |
|---|---|---|---|---|
| Dust2 | 100 | 60% | 0.96 | 13.8 |
| Ancient | 73 | 59% | 0.87 | 15.1 |
| Mirage | 62 | 45% | 0.88 | 14.6 |
| Nuke | 46 | 63% | 0.95 | 15.3 |
| Anubis | 44 | 41% | 0.88 | 13.2 |
| Train | 37 | 49% | 0.91 | 13.9 |
| Inferno | 33 | 45% | 0.96 | 13.5 |
| Vertigo | 6 | 33% | 0.72 | 12.5 |
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 38.5231% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–4 | -0.01 | 20% | 28 Aug → | ||
| 5–13 | -0.10 | 33% | 26 Aug → | ||
| 13–8 | 0.01 | 28% | 26 Aug → | ||
| 14–16 | -0.02 | 14% | 24 Aug → | ||
| 9–13 | 0.01 | 23% | 24 Aug → | ||
| 8–13 | -0.01 | 24% | 24 Aug → | ||
| 12–12 | -0.02 | 27% | 22 Aug → | ||
| 12–12 | 0.08 | 36% | 20 Aug → | ||
| 13–8 | 0.18 | 21% | 19 Aug → | ||
| 13–7 | -0.02 | 29% | 18 Aug → | ||
| 13–5 | 0.17 | 29% | 18 Aug → | ||
| 11–13 | 0.02 | 27% | 18 Aug → | ||
| 9–2 | 0.11 | 58% | 18 Aug → | ||
| 9–13 | -0.02 | 24% | 18 Aug → | ||
| 13–16 | -0.01 | 27% | 14 Aug → | ||
| 13–8 | 0.10 | 29% | 14 Aug → | ||
| 13–7 | 0.00 | 21% | 14 Aug → | ||
| 5–13 | -0.04 | 43% | 12 Aug → | ||
| 7–13 | -0.08 | 54% | 12 Aug → | ||
| 13–8 | 0.01 | 17% | 12 Aug → | ||
| 8–13 | -0.05 | 17% | 11 Aug → | ||
| 16–14 | 0.04 | 20% | 9 Aug → | ||
| 13–9 | -0.03 | 18% | 7 Aug → | ||
| 6–13 | 0.02 | 25% | 7 Aug → | ||
| 5–13 | -0.08 | 17% | 6 Aug → | ||
| 8–13 | -0.04 | 20% | 5 Aug → | ||
| 11–13 | -0.01 | 24% | 3 Aug → | ||
| 4–13 | 0.08 | 48% | 3 Aug → | ||
| 5–13 | -0.02 | 17% | 2 Aug → | ||
| 11–13 | -0.04 | 12% | 31 Jul → | ||
| 13–7 | 0.07 | 15% | 31 Jul → | ||
| 13–7 | 0.06 | 22% | 30 Jul → | ||
| 13–8 | 0.00 | 15% | 30 Jul → | ||
| 6–13 | -0.04 | 10% | 29 Jul → | ||
| 8–13 | 0.03 | 9% | 28 Jul → | ||
| 6–13 | 0.04 | 15% | 28 Jul → | ||
| 9–13 | -0.02 | 13% | 28 Jul → | ||
| 6–13 | -0.03 | 31% | 28 Jul → | ||
| 2–13 | -0.05 | 27% | 26 Jul → | ||
| 4–13 | -0.03 | 33% | 25 Jul → | ||
| 13–2 | 0.04 | 23% | 25 Jul → | ||
| 13–10 | 0.09 | 25% | 25 Jul → | ||
| 2–13 | -0.07 | 13% | 24 Jul → | ||
| 13–2 | 0.05 | 23% | 24 Jul → | ||
| 5–13 | -0.03 | 30% | 22 Jul → | ||
| 5–13 | -0.01 | 13% | 22 Jul → | ||
| 6–13 | -0.04 | 8% | 21 Jul → | ||
| 13–11 | -0.02 | 16% | 21 Jul → | ||
| 10–13 | -0.06 | 22% | 20 Jul → | ||
| 13–8 | 0.09 | 16% | 20 Jul → | ||
| 6–13 | 0.01 | 17% | 16 Jul → | ||
| 13–6 | 0.18 | 21% | 16 Jul → | ||
| 7–13 | -0.00 | 13% | 14 Jul → | ||
| 12–12 | 0.07 | 17% | 13 Jul → | ||
| 13–10 | 0.06 | 29% | 13 Jul → | ||
| 13–11 | 0.02 | 26% | 10 Jul → | ||
| 13–9 | 0.04 | 23% | 10 Jul → | ||
| 13–9 | -0.01 | 32% | 10 Jul → | ||
| 13–9 | 0.10 | 27% | 8 Jul → | ||
| 7–13 | -0.03 | 28% | 8 Jul → | ||
| 3–13 | -0.08 | 25% | 6 Jul → | ||
| 5–13 | 0.02 | 26% | 6 Jul → | ||
| 13–11 | 0.04 | 26% | 1 Jul → | ||
| 11–13 | -0.01 | 34% | 1 Jul → | ||
| 11–13 | 0.01 | 16% | 1 Jul → | ||
| 7–13 | -0.05 | 27% | 30 Jun → | ||
| 12–12 | 0.01 | 20% | 29 Jun → | ||
| 13–6 | -0.00 | 21% | 28 Jun → | ||
| 13–8 | 0.07 | 41% | 28 Jun → | ||
| 13–11 | 0.01 | 17% | 28 Jun → | ||
| 11–13 | -0.03 | 17% | 25 Jun → | ||
| 12–12 | -0.01 | 23% | 24 Jun → | ||
| 4–13 | 0.01 | 19% | 24 Jun → | ||
| 10–13 | -0.05 | 19% | 22 Jun → | ||
| 13–7 | 0.02 | 32% | 22 Jun → | ||
| 7–13 | 0.00 | 39% | 21 Jun → | ||
| 10–13 | -0.02 | 48% | 21 Jun → | ||
| 13–4 | 0.04 | 19% | 21 Jun → | ||
| 9–13 | 0.04 | 21% | 21 Jun → | ||
| 13–7 | 0.08 | 27% | 19 Jun → | ||
| 2–13 | -0.04 | 23% | 19 Jun → | ||
| 13–11 | -0.07 | 23% | 18 Jun → | ||
| 9–13 | -0.04 | 8% | 18 Jun → | ||
| 4–13 | -0.01 | 14% | 17 Jun → | ||
| 2–13 | 0.02 | 18% | 16 Jun → | ||
| 11–13 | 0.02 | 28% | 16 Jun → | ||
| 13–10 | 0.11 | 23% | 14 Jun → | ||
| 9–13 | 0.08 | 22% | 14 Jun → | ||
| 13–10 | -0.00 | 29% | 14 Jun → | ||
| 8–13 | -0.04 | 27% | 13 Jun → | ||
| 12–12 | -0.01 | 23% | 13 Jun → | ||
| 13–2 | 0.01 | 24% | 13 Jun → | ||
| 13–10 | 0.04 | 24% | 13 Jun → | ||
| 5–13 | -0.06 | 27% | 13 Jun → | ||
| 3–0 | 0.03 | 10% | 13 Jun → | ||
| 5–13 | -0.06 | 6% | 11 Jun → | ||
| 13–3 | 0.12 | 40% | 10 Jun → | ||
| 13–4 | 0.01 | 78% | 10 Jun → | ||
| 5–13 | -0.04 | 31% | 10 Jun → | ||
| 9–13 | -0.05 | 32% | 8 Jun → |
Match data via Leetify.
Recent teammates
- 43Player 96444380 recent matches together
- 61Player 09696110 recent matches together
- 43Player 12374347 recent matches together
- 94Player 28229457 recent matches together
- 00Player 61660051 recent matches together
- 13Player 06691320 recent matches together
- 52Player 10965213 recent matches together
- 05Player 30070513 recent matches together