Monkey Nuts

Monkey Nuts — CS2 Stats

GB76561197998388060[U:1:38122332]Steam profile ↗✓ No bans

567Tracked matches47%Win rate2020Tracked since
3,562Hours in CS73Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating25,556Top 10% of 211,827 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#16775 of 258923 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,556 -545 15 Sept – 29 Oct · 8 days played
25,55626,177peak 26,17715 Sept29 Oct
26,177Peak Premier in tracked matches
26Days played since 2026-09-15

Premier CS Rating

  • 621 below peak (26,177)
  • Next: Gold band at 30,000 — 4,444 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-15
  • Pink band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate43.1%45.7%46.8%3.7% short
Shot accuracy20.9%12.7%13.0%above
Kill/death ratio0.991.051.060.07 short
Match win rate73.5%45.7%46.3%above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMonkey NutsFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER25,556 · Red bandcsdb.gg/stats

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

Aim68
Positioning66
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLLWLWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.6pp headshot accuracy · +49ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 614ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 570ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 546ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim6.8
Utility6.0
Positioning6.6
Opening Duels3.8
Clutch3.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

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

Reaction time. 554ms 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

Aim6.8
Positioning6.6
Utility6.0
Mechanics6.6
Opening Duels6.0
Win Impact3.9

Composite 6.6/10 (Solid), 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

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time561ms−1ms
first ⅓ avg 562ms → last ⅓ avg 561ms
Headshot accuracy14.9%−1.2%
first ⅓ avg 16.1% → last ⅓ avg 14.9%

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.

Personal bests

0.11Best match rating · 13–4 · anubis, 21 Oct →
36%Best headshot accuracy · 1–13 · dust2, 19 Sept →
367msFastest reaction time · 5–1 · dust2, 24 Oct →
13–1Biggest win · ancient, 29 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
12–11In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 78% over 9nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%-0.00
mirageB2110–1148%-0.00
ancientA2011–955%-0.00
anubisS129–375%0.03
cacheS97–278%-0.00
infernoB84–450%-0.02
nukeC52–340%-0.04
office—11–0100%0.03
overpass—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,672Lifetime kills
0.99K/D
9,076Matches
73.5%Match win rate · Top 1% of Level 7 players
43.1%Headshot %
20.9%Shot accuracy · Top 5% of Level 7 players
14,724MVPs
2,196Hours (in match)
3,699Bombs planted
1,326Bombs defused

Most-used weapons

AK-4730,483
AWP3,704
P902,723
Knife2,678
P2502,024

Lifetime map wins

7,079inferno
4,601dust2
2,896train
2,655nuke
1,469vertigo
1,464cbble
772office
545italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,067Matches
51%Win rate
0.97Avg K/D
75.8ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3954%1.1315.5
Mirage3549%0.8813.9
Dust23155%0.9714.3
Inferno2552%0.9314.3
Anubis2343%1.1915.8
Nuke1856%1.1718.3
Cache1567%1.1215.7
Vertigo250%1.3217.0

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.

14.3%Headshot accuracy
35.4%Accuracy (enemy spotted)
40.3%Spray accuracy
79.8%Counter-strafing
10.9°Preaim
554msReaction time
59.1%T opening success
48.8%CT opening success
0.65Enemies flashed / flash
10.4%Flash assists
8.55HE damage / grenade
10.59Flashes / match

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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3033% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0011%30 Oct →
ancient10–13-0.0015%29 Oct →
ancient13–10.0715%29 Oct →
dust24–13-0.035%29 Oct →
dust213–60.0523%29 Oct →
inferno11–13-0.0210%29 Oct →
dust213–20.0310%28 Oct →
dust27–13-0.0517%28 Oct →
office13–70.0318%28 Oct →
ancient1–13-0.120%27 Oct →
ancient12–16-0.0514%25 Oct →
anubis13–70.0111%25 Oct →
mirage13–90.0312%25 Oct →
dust211–13-0.0016%25 Oct →
dust27–13-0.0533%25 Oct →
dust25–1-0.036%24 Oct →
anubis20–220.0411%24 Oct →
ancient13–110.0412%24 Oct →
anubis11–130.0115%24 Oct →
mirage10–130.0018%24 Oct →
mirage13–110.0114%24 Oct →
inferno6–13-0.0116%24 Oct →
mirage10–130.0015%24 Oct →
cache13–11-0.0212%23 Oct →
mirage16–13-0.0617%23 Oct →
mirage11–130.0618%23 Oct →
ancient13–110.016%23 Oct →
cache13–2-0.018%23 Oct →
cache9–13-0.0616%23 Oct →
nuke13–11-0.0323%22 Oct →
overpass5–9-0.0532%22 Oct →
nuke3–9-0.1818%22 Oct →
cache13–10.0625%22 Oct →
anubis13–40.1113%21 Oct →
nuke12–16-0.0210%21 Oct →
mirage4–13-0.0718%19 Oct →
dust213–6-0.0110%19 Oct →
mirage3–13-0.0419%18 Oct →
ancient13–10.0819%18 Oct →
mirage13–10-0.0313%18 Oct →
mirage12–16-0.039%18 Oct →
ancient16–13-0.0511%18 Oct →
mirage4–13-0.039%18 Oct →
dust28–130.0411%18 Oct →
inferno10–13-0.0510%17 Oct →
cache13–11-0.0118%17 Oct →
ancient14–160.0420%17 Oct →
mirage13–10-0.0013%17 Oct →
dust213–80.1024%17 Oct →
dust210–130.0112%17 Oct →
anubis13–100.039%17 Oct →
anubis13–80.0317%17 Oct →
mirage13–11-0.0311%16 Oct →
ancient4–13-0.0513%16 Oct →
cache13–90.0517%16 Oct →
anubis13–80.0413%16 Oct →
dust25–13-0.0728%16 Oct →
ancient5–130.0123%16 Oct →
mirage9–13-0.0413%16 Oct →
dust213–10-0.0120%16 Oct →
dust27–130.0114%15 Oct →
anubis6–00.0517%15 Oct →
dust213–90.0513%15 Oct →
mirage13–110.0212%14 Oct →
dust216–130.0715%14 Oct →
dust216–14-0.0519%12 Oct →
anubis13–7-0.0110%12 Oct →
nuke13–70.0119%10 Oct →
inferno16–14-0.0118%9 Oct →
cache9–13-0.0619%9 Oct →
nuke14–160.029%7 Oct →
cache13–7-0.0411%7 Oct →
ancient13–50.016%6 Oct →
ancient13–10-0.0015%6 Oct →
cache13–30.0414%6 Oct →
inferno13–60.0110%6 Oct →
ancient8–130.0125%6 Oct →
mirage13–60.0415%6 Oct →
dust212–160.0129%6 Oct →
mirage13–100.0724%6 Oct →
dust213–80.0219%6 Oct →
dust211–130.0117%5 Oct →
mirage9–13-0.0219%5 Oct →
inferno13–6-0.0217%24 Sept →
anubis14–160.0113%24 Sept →
ancient13–5-0.017%24 Sept →
mirage11–13-0.0110%24 Sept →
inferno13–16-0.067%20 Sept →
anubis13–100.0412%20 Sept →
ancient13–20.0412%20 Sept →
inferno16–140.0317%19 Sept →
dust21–13-0.0136%19 Sept →
dust23–13-0.0618%19 Sept →
ancient13–10-0.0116%18 Sept →
anubis13–90.009%18 Sept →
dust213–9-0.0519%18 Sept →
ancient13–11-0.0617%18 Sept →
mirage16–130.0211%18 Sept →
ancient10–130.0118%16 Sept →
mirage11–130.0324%16 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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