Monkfishh — CS2 Stats
76561198214278463[U:1:254012735]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 32.1% | 44.7% | 46.1% | 14.0% short |
| Shot accuracy | 11.9% | 11.9% | 12.6% | 0.7% short |
| Kill/death ratio | 0.91 | 1.04 | 1.05 | 0.15 short |
| Match win rate | 24.3% | 45.2% | 45.7% | 21.4% short |
This profile sits below the typical Level 7 player on every metric we can compare.
Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 24 | 10–14 | 42% | 0.01 | |
| A | 23 | 14–9 | 61% | -0.00 | |
| B | 18 | 9–9 | 50% | 0.02 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 178 | 48% | 1.10 | 14.9 |
| Ancient | 109 | 42% | 1.07 | 16.1 |
| Dust2 | 99 | 56% | 1.03 | 15.0 |
| Anubis | 78 | 58% | 1.12 | 15.8 |
| Nuke | 54 | 50% | 1.13 | 15.6 |
| Inferno | 52 | 54% | 1.07 | 14.6 |
| Vertigo | 34 | 53% | 1.04 | 14.8 |
| Cache | 22 | 55% | 1.02 | 13.7 |
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 9.418% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.03 | 3% | 27 Aug → | ||
| 13–11 | 0.05 | 11% | 25 Aug → | ||
| 13–10 | -0.01 | 9% | 24 Aug → | ||
| 13–8 | 0.07 | 18% | 24 Aug → | ||
| 9–13 | -0.04 | 18% | 24 Aug → | ||
| 7–13 | -0.05 | 12% | 24 Aug → | ||
| 13–11 | 0.04 | 6% | 23 Aug → | ||
| 13–11 | 0.03 | 5% | 23 Aug → | ||
| 6–13 | 0.00 | 4% | 23 Aug → | ||
| 9–13 | 0.01 | 9% | 23 Aug → | ||
| 13–3 | -0.00 | 8% | 23 Aug → | ||
| 13–11 | -0.02 | 6% | 23 Aug → | ||
| 4–13 | 0.03 | 8% | 23 Aug → | ||
| 13–16 | 0.02 | 8% | 23 Aug → | ||
| 13–10 | 0.02 | 9% | 22 Aug → | ||
| 13–7 | -0.06 | 11% | 22 Aug → | ||
| 13–9 | -0.05 | 10% | 21 Aug → | ||
| 13–11 | 0.07 | 10% | 20 Aug → | ||
| 16–13 | 0.03 | 10% | 19 Aug → | ||
| 15–19 | 0.04 | 6% | 19 Aug → | ||
| 13–8 | 0.04 | 16% | 19 Aug → | ||
| 13–5 | 0.10 | 6% | 18 Aug → | ||
| 14–16 | 0.00 | 10% | 18 Aug → | ||
| 13–11 | 0.04 | 8% | 17 Aug → | ||
| 8–13 | -0.01 | 14% | 16 Aug → | ||
| 22–18 | 0.01 | 6% | 16 Aug → | ||
| 8–13 | -0.03 | 7% | 16 Aug → | ||
| 8–13 | 0.01 | 21% | 16 Aug → | ||
| 13–9 | 0.02 | 13% | 16 Aug → | ||
| 6–13 | -0.09 | 5% | 16 Aug → | ||
| 10–13 | -0.00 | 17% | 16 Aug → | ||
| 8–13 | -0.03 | 16% | 16 Aug → | ||
| 13–7 | -0.00 | 22% | 16 Aug → | ||
| 13–7 | -0.01 | 10% | 16 Aug → | ||
| 4–13 | -0.02 | 14% | 16 Aug → | ||
| 13–10 | -0.04 | 1% | 15 Aug → | ||
| 1–13 | -0.05 | 15% | 15 Aug → | ||
| 2–13 | -0.05 | 15% | 15 Aug → | ||
| 6–13 | -0.01 | 8% | 15 Aug → | ||
| 7–13 | 0.01 | 14% | 15 Aug → | ||
| 5–13 | 0.03 | 15% | 15 Aug → | ||
| 13–6 | 0.07 | 11% | 15 Aug → | ||
| 13–16 | 0.01 | 8% | 15 Aug → | ||
| 13–10 | -0.05 | 9% | 15 Aug → | ||
| 13–6 | 0.02 | 13% | 15 Aug → | ||
| 10–13 | -0.02 | 13% | 15 Aug → | ||
| 16–14 | -0.02 | 13% | 14 Aug → | ||
| 13–8 | -0.01 | 29% | 13 Aug → | ||
| 13–5 | 0.08 | 18% | 13 Aug → | ||
| 13–8 | 0.12 | 8% | 12 Aug → | ||
| 13–8 | 0.09 | 12% | 11 Aug → | ||
| 16–13 | -0.04 | 8% | 11 Aug → | ||
| 3–13 | 0.02 | 16% | 11 Aug → | ||
| 9–13 | -0.01 | 15% | 10 Aug → | ||
| 10–13 | -0.04 | 13% | 10 Aug → | ||
| 10–13 | -0.05 | 18% | 10 Aug → | ||
| 11–13 | -0.04 | 23% | 10 Aug → | ||
| 10–13 | -0.07 | 9% | 10 Aug → | ||
| 16–14 | -0.03 | 6% | 9 Aug → | ||
| 13–3 | 0.04 | 13% | 9 Aug → | ||
| 5–13 | 0.03 | 16% | 9 Aug → | ||
| 13–4 | 0.03 | 5% | 9 Aug → | ||
| 12–16 | 0.01 | 14% | 6 Aug → | ||
| 4–13 | -0.00 | 10% | 6 Aug → | ||
| 5–13 | -0.03 | 18% | 6 Aug → | ||
| 9–13 | -0.06 | 5% | 6 Aug → | ||
| 13–3 | 0.08 | 21% | 6 Aug → | ||
| 13–7 | 0.04 | 13% | 6 Aug → | ||
| 5–13 | 0.01 | 17% | 6 Aug → | ||
| 13–5 | 0.04 | 9% | 6 Aug → | ||
| 13–11 | -0.01 | 12% | 5 Aug → | ||
| 24–28 | 0.01 | 8% | 5 Aug → | ||
| 8–13 | -0.01 | 7% | 5 Aug → | ||
| 8–13 | -0.01 | 13% | 5 Aug → | ||
| 10–13 | -0.05 | 10% | 5 Aug → | ||
| 13–16 | -0.03 | 22% | 4 Aug → | ||
| 13–5 | 0.03 | 11% | 3 Aug → | ||
| 13–7 | 0.00 | 11% | 3 Aug → | ||
| 6–13 | -0.02 | 7% | 3 Aug → | ||
| 13–7 | 0.02 | 6% | 3 Aug → | ||
| 13–5 | 0.10 | 16% | 3 Aug → | ||
| 14–16 | -0.01 | 11% | 3 Aug → | ||
| 22–25 | 0.01 | 13% | 3 Aug → | ||
| 13–2 | 0.17 | 7% | 2 Aug → | ||
| 13–1 | 0.12 | 16% | 2 Aug → | ||
| 4–13 | -0.03 | 15% | 2 Aug → | ||
| 10–13 | -0.04 | 16% | 2 Aug → | ||
| 13–7 | 0.04 | 12% | 2 Aug → | ||
| 4–13 | -0.06 | 8% | 2 Aug → | ||
| 13–10 | 0.02 | 12% | 1 Aug → | ||
| 13–5 | 0.15 | 11% | 1 Aug → | ||
| 9–13 | -0.00 | 11% | 1 Aug → | ||
| 12–0 | -0.02 | 27% | 1 Aug → | ||
| 7–13 | -0.02 | 20% | 1 Aug → | ||
| 7–13 | -0.05 | 6% | 1 Aug → | ||
| 13–9 | 0.04 | 9% | 1 Aug → | ||
| 4–13 | -0.04 | 20% | 1 Aug → | ||
| 13–10 | -0.03 | 20% | 30 Jul → | ||
| 6–13 | -0.06 | 11% | 30 Jul → | ||
| 13–10 | -0.01 | 14% | 29 Jul → |
Match data via Leetify.