smonky — CS2 Stats
GS76561198073793398[U:1:113527670]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 54.7% | 47.2% | 49.9% | above |
| Shot accuracy | 8.3% | 12.7% | 13.4% | 5.1% short |
| Kill/death ratio | 1.22 | 1.09 | 1.12 | above |
| Match win rate | 43.9% | 46.6% | 48.4% | 4.5% short |
This profile matches the typical Red band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red band 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: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 94% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 6.9/10 (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 |
|---|---|---|---|---|---|
| B | 26 | 12–14 | 46% | 0.04 | |
| B | 23 | 12–11 | 52% | 0.05 | |
| S | 15 | 10–5 | 67% | 0.05 | |
| S | 12 | 9–3 | 75% | 0.04 | |
| C | 11 | 4–7 | 36% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| office | — | 1 | 0–1 | 0% | 0.15 |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (36% over 11). 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 82 | 66% | 1.74 | 20.2 |
| Ancient | 51 | 57% | 1.25 | 17.7 |
| Anubis | 47 | 53% | 1.45 | 17.7 |
| Dust2 | 43 | 60% | 1.45 | 19.5 |
| Nuke | 13 | 38% | 1.51 | 22.5 |
| Vertigo | 10 | 40% | 1.09 | 17.9 |
| Inferno | 7 | 57% | 1.23 | 17.1 |
| Train | 5 | 80% | 1.56 | 19.2 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.02 | 25% | 27 Aug → | ||
| 13–6 | 0.06 | 29% | 21 Aug → | ||
| 4–13 | 0.01 | 30% | 19 Aug → | ||
| 13–5 | -0.05 | 10% | 18 Aug → | ||
| 10–13 | -0.01 | 29% | 18 Aug → | ||
| 9–13 | 0.02 | 28% | 18 Aug → | ||
| 13–10 | 0.04 | 18% | 14 Aug → | ||
| 13–6 | 0.10 | 22% | 13 Aug → | ||
| 2–13 | 0.05 | 25% | 13 Aug → | ||
| 13–10 | 0.03 | 29% | 12 Aug → | ||
| 13–11 | 0.10 | 26% | 11 Aug → | ||
| 13–6 | -0.03 | 17% | 6 Aug → | ||
| 8–13 | -0.05 | 16% | 5 Aug → | ||
| 13–10 | 0.04 | 19% | 5 Aug → | ||
| 17–19 | 0.07 | 21% | 4 Aug → | ||
| 13–8 | 0.10 | 31% | 2 Aug → | ||
| 7–13 | -0.00 | 15% | 30 Jul → | ||
| 11–13 | 0.02 | 20% | 28 Jul → | ||
| 13–11 | -0.01 | 24% | 26 Jul → | ||
| 16–14 | 0.03 | 19% | 26 Jul → | ||
| 10–13 | 0.02 | 14% | 23 Jul → | ||
| 10–13 | -0.01 | 14% | 21 Jul → | ||
| 13–7 | 0.06 | 20% | 17 Jul → | ||
| 12–16 | 0.03 | 18% | 17 Jul → | ||
| 13–11 | 0.08 | 29% | 16 Jul → | ||
| 13–1 | 0.08 | 34% | 15 Jul → | ||
| 13–3 | 0.10 | 28% | 11 Jul → | ||
| 16–12 | 0.05 | 22% | 10 Jul → | ||
| 15–15 | 0.04 | 16% | 10 Jul → | ||
| 13–10 | 0.07 | 24% | 9 Jul → | ||
| 13–5 | 0.16 | 29% | 9 Jul → | ||
| 13–16 | 0.03 | 29% | 8 Jul → | ||
| 13–7 | 0.02 | 18% | 5 Jul → | ||
| 13–8 | 0.02 | 19% | 3 Jul → | ||
| 11–13 | 0.07 | 14% | 3 Jul → | ||
| 16–13 | 0.04 | 23% | 2 Jul → | ||
| 11–13 | 0.01 | 25% | 1 Jul → | ||
| 13–8 | 0.08 | 21% | 1 Jul → | ||
| 13–3 | 0.06 | 40% | 30 Jun → | ||
| 9–13 | 0.08 | 23% | 30 Jun → | ||
| 13–9 | 0.13 | 25% | 30 Jun → | ||
| 13–1 | 0.24 | 29% | 26 Jun → | ||
| 4–13 | -0.08 | 24% | 26 Jun → | ||
| 6–13 | -0.04 | 23% | 25 Jun → | ||
| 7–13 | -0.00 | 18% | 25 Jun → | ||
| 13–3 | 0.07 | 32% | 23 Jun → | ||
| 3–13 | -0.02 | 17% | 23 Jun → | ||
| 11–13 | 0.07 | 18% | 23 Jun → | ||
| 13–10 | -0.00 | 23% | 23 Jun → | ||
| 8–13 | 0.07 | 23% | 22 Jun → | ||
| 13–11 | -0.00 | 30% | 21 Jun → | ||
| 6–1 | 0.05 | 24% | 21 Jun → | ||
| 13–5 | 0.08 | 27% | 17 Jun → | ||
| 8–13 | 0.00 | 29% | 13 Jun → | ||
| 10–13 | -0.06 | 17% | 11 Jun → | ||
| 13–10 | 0.02 | 20% | 11 Jun → | ||
| 13–10 | 0.03 | 16% | 8 Jun → | ||
| 13–9 | 0.02 | 22% | 8 Jun → | ||
| 4–13 | 0.03 | 23% | 3 Jun → | ||
| 13–8 | 0.07 | 26% | 3 Jun → | ||
| office | 6–13 | 0.15 | 30% | 1 Jun → | |
| 13–11 | 0.10 | 27% | 1 Jun → | ||
| 13–10 | -0.03 | 17% | 30 May → | ||
| 13–9 | 0.00 | 28% | 30 May → | ||
| 10–13 | -0.03 | 17% | 29 May → | ||
| 13–6 | 0.05 | 21% | 27 May → | ||
| 13–9 | 0.09 | 33% | 26 May → | ||
| 13–3 | 0.12 | 27% | 25 May → | ||
| 13–1 | 0.21 | 16% | 25 May → | ||
| 15–15 | 0.05 | 16% | 25 May → | ||
| 1–11 | -0.05 | 14% | 25 May → | ||
| 4–13 | 0.03 | 25% | 21 May → | ||
| 13–9 | 0.07 | 18% | 21 May → | ||
| 10–13 | -0.01 | 11% | 21 May → | ||
| 10–13 | 0.02 | 17% | 20 May → | ||
| 13–3 | 0.00 | 16% | 18 May → | ||
| 13–6 | 0.07 | 17% | 18 May → | ||
| 15–15 | 0.02 | 18% | 15 May → | ||
| 15–15 | 0.09 | 27% | 14 May → | ||
| 8–13 | 0.03 | 26% | 14 May → | ||
| 13–6 | 0.12 | 20% | 14 May → | ||
| 13–3 | 0.04 | 26% | 6 May → | ||
| 13–10 | -0.03 | 29% | 3 May → | ||
| 9–13 | 0.02 | 22% | 1 May → | ||
| 6–13 | 0.07 | 13% | 29 Apr → | ||
| 0–13 | 0.03 | 21% | 29 Apr → | ||
| 7–13 | 0.03 | 22% | 17 Apr → | ||
| 9–13 | 0.10 | 16% | 10 Apr → | ||
| 13–16 | 0.12 | 11% | 8 Apr → | ||
| 13–5 | 0.03 | 17% | 4 Apr → | ||
| 11–13 | 0.04 | 33% | 4 Apr → | ||
| 4–13 | 0.02 | 17% | 3 Apr → | ||
| 13–7 | 0.01 | 17% | 31 Mar → | ||
| 11–13 | -0.05 | 18% | 31 Mar → | ||
| 7–13 | -0.03 | 17% | 28 Mar → | ||
| 11–13 | -0.01 | 18% | 25 Mar → | ||
| 13–10 | -0.03 | 28% | 24 Mar → | ||
| 13–2 | 0.11 | 21% | 18 Mar → | ||
| 9–13 | -0.00 | 16% | 18 Mar → | ||
| 13–4 | 0.01 | 8% | 18 Mar → |
Match data via Leetify.