Monkey — CS2 Stats

76561198302786338[U:1:342520610]✓ No bans

1,875Tracked matches63%Win rate2021Tracked since
2,345Hours in CS34Hrs last 2 wks
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating24,876Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#3861 of 25461 tracked
FaceitLevel 9 · 1,369 ELOTop 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate52.2%49.0%52.0%meets
Shot accuracy4.3%13.1%13.7%9.3% short
Kill/death ratio1.261.081.08above
Match win rate47.8%46.9%48.8%1.0% short

This profile matches the typical Level 10 player on 2 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

CSDB.GGMonkeyFACEITLevel 9 · 1,369 ELOSTANDINGTop 20.7% of rankedPREMIER24,876 · Pink bandcsdb.gg/stats

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Performance scores

Aim77
Positioning56
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY5842Last 10058%Win rateLWWLWLLWWL

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.7
Aggression6.2
Utility3.9
Positioning5.6
Opening Duels3.2
Clutch3.8

Strong CT-side openerLimited utility dependence

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

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 55% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7
Positioning5.6
Utility3.9
Mechanics5.3
Opening Duels3.2
Win Impact9.4

Composite 6.2/10 (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

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time520ms−97ms
first ⅓ avg 617ms → last ⅓ avg 520ms
Headshot accuracy16.4%−1.1%
first ⅓ avg 17.5% → last ⅓ avg 16.4%

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

0.18Best rating — nuke 13–7
131Biggest win — cache
6Longest win streak
133In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 72% over 18infernoWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA1911858%0.02
cacheS1813572%0.03
nukeB189950%0.02
dust2B158753%-0.02
infernoB136746%0.02
anubisA95456%0.04
ancient440100%0.02
vertigo42250%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,167Lifetime kills
1.26K/D · Top 25% of Level 9 players
2,274Matches
47.8%Match win rate · Top 50% of Level 9 players
52.2%Headshot % · Top 50% of Level 9 players
4.3%Shot accuracy
5,007MVPs
918Hours (in match)
1,925Bombs planted
687Bombs defused

Most-used weapons

Lifetime map wins

3,531nuke
3,339inferno
1,739dust2
993vertigo
567train
105office
19cbble
9ar_shoots

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

Faceit stats

Combat

341Matches
52%Win rate
1.24Avg K/D
86.0ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8551%1.1616.4
Nuke5756%1.2617.5
Dust24146%1.0615.6
Anubis3954%1.3417.6
Inferno3850%1.3617.4
Ancient2955%1.4817.3
Cache2857%1.2416.6
Overpass967%1.4117.7

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.

16.6%Headshot accuracy
38.3%Accuracy (enemy spotted)
37.2%Spray accuracy
73.9%Counter-strafing
8.9°Preaim
517msReaction time
30.6%T opening success
55.0%CT opening success
0.55Enemies flashed / flash
2.4%Flash assists
9.31HE damage / grenade
4.41Flashes / 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. 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 30.5808% — below the 40% mark we flag

Spend your practice time on Inferno

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0418%29 Aug
mirage13–90.079%28 Aug
ancient13–100.0115%28 Aug
cache9–130.0126%26 Aug
anubis16–140.0912%25 Aug
mirage9–13-0.0523%21 Aug
dust210–130.0014%21 Aug
mirage13–8-0.0224%20 Aug
ancient13–70.0522%20 Aug
dust23–13-0.0015%20 Aug
nuke13–11-0.0417%20 Aug
mirage13–70.0915%20 Aug
mirage13–8-0.027%20 Aug
anubis8–13-0.0419%20 Aug
anubis19–16-0.0123%20 Aug
vertigo2–13-0.129%19 Aug
dust213–4-0.0310%19 Aug
dust213–11-0.0614%18 Aug
inferno10–13-0.0518%18 Aug
nuke13–60.0729%18 Aug
nuke13–110.0114%18 Aug
mirage13–110.1016%17 Aug
anubis13–70.0515%17 Aug
inferno13–100.0011%17 Aug
mirage13–50.0139%17 Aug
nuke6–13-0.014%16 Aug
anubis11–130.0414%16 Aug
cache13–110.0010%16 Aug
nuke13–90.0616%16 Aug
mirage8–13-0.0216%15 Aug
dust29–13-0.0420%15 Aug
cache13–5-0.0814%15 Aug
cache7–13-0.0112%15 Aug
vertigo16–14-0.0016%15 Aug
cache13–100.0325%14 Aug
nuke6–130.0640%13 Aug
inferno2–13-0.0313%13 Aug
inferno13–3-0.0311%13 Aug
dust213–11-0.0123%12 Aug
cache13–20.0315%11 Aug
inferno6–13-0.0313%10 Aug
vertigo13–70.0420%10 Aug
cache13–70.1016%10 Aug
nuke6–13-0.059%9 Aug
cache13–110.0218%9 Aug
vertigo3–13-0.0413%9 Aug
nuke16–140.0014%9 Aug
ancient13–7-0.0113%9 Aug
inferno13–60.0517%9 Aug
anubis13–110.0814%9 Aug
nuke13–70.1818%9 Aug
ancient13–80.0214%9 Aug
mirage4–13-0.0924%9 Aug
mirage7–130.0313%9 Aug
inferno10–13-0.0116%9 Aug
nuke13–160.0113%8 Aug
nuke9–130.0515%8 Aug
mirage10–13-0.0017%8 Aug
anubis1–130.0841%8 Aug
inferno10–130.0811%8 Aug
dust210–13-0.0314%7 Aug
dust25–130.0427%7 Aug
mirage6–13-0.0723%6 Aug
mirage13–90.0918%5 Aug
mirage11–130.0720%5 Aug
cache4–13-0.0537%5 Aug
inferno13–60.0415%5 Aug
cache9–130.0120%4 Aug
dust219–160.0111%4 Aug
anubis16–130.0616%4 Aug
dust26–13-0.0610%2 Aug
mirage13–9-0.0719%2 Aug
mirage13–70.0113%1 Aug
dust213–40.0316%1 Aug
nuke12–16-0.0312%1 Aug
cache13–50.1730%1 Aug
inferno13–50.0823%1 Aug
dust213–6-0.0515%30 Jul
cache13–10.0219%29 Jul
mirage16–120.0724%29 Jul
inferno13–80.0730%29 Jul
anubis7–130.0110%29 Jul
cache22–200.0215%28 Jul
cache13–20.0923%28 Jul
dust219–160.0217%28 Jul
cache13–110.0627%27 Jul
nuke14–16-0.0117%27 Jul
nuke7–13-0.0323%26 Jul
inferno8–130.019%26 Jul
cache13–50.0113%26 Jul
dust210–13-0.0516%26 Jul
dust213–10-0.0710%26 Jul
nuke8–130.0121%25 Jul
cache16–120.0433%24 Jul
nuke13–7-0.0113%24 Jul
cache13–160.0219%24 Jul
mirage13–70.099%24 Jul
inferno13–160.0311%24 Jul
nuke13–90.1022%24 Jul
nuke13–7-0.0513%23 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →