Monkeyman

Monkeyman — CS2 Stats

76561199014324137[U:1:1054058409]Steam profile ↗✓ No bans

1,429Tracked matches43%Win rate2021Tracked since
1,360Hours in CS
CSDB Rating5.7 SolidAggressive Rifler
FaceitLevel 7 · 1,373 ELOTop 42.3% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGMonkeymanFACEITLevel 7 · 1,373 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning64
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY474211Last 10047%Win rateLLWWLLWLLW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression8.6
Utility5.2
Positioning6.4
Opening Duels3.4
Clutch3.2

Effective 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

b1t

Plays most like b1t 93% 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

Flashes. 0.79 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.

Reaction time. 564ms 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

Aim8.3
Positioning6.4
Utility5.2
Mechanics7.8
Opening Duels3.4
Win Impact2.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time580ms−16ms
first ⅓ avg 596ms → last ⅓ avg 580ms
Headshot accuracy18.6%+0.2%
first ⅓ avg 18.4% → last ⅓ avg 18.6%

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

0.17Best rating — mirage 13–3
130Biggest win — nuke
6Longest win streak
L2Current streak
56In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB23121152%0.02
cacheB168850%0.02
dust2C167944%0.02
infernoD123925%0.01
ancientB105550%-0.00
anubisC73443%0.03
vertigoS64267%0.01
nukeS54180%0.00
train21150%0.09
overpass2020%0.01
shelter1010%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,549Lifetime kills
1.15K/D · Top 50% of tracked players
3,558Matches
38.6%Match win rate
44.0%Headshot %
14.1%Shot accuracy · Top 50% of tracked players
5,406MVPs
1,360Hours (in match)
3,039Bombs planted
521Bombs defused

Most-used weapons

Lifetime map wins

4,872dust2
3,226inferno
1,910nuke
1,180vertigo
872train
150lake
60office
33cbble

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

Faceit stats

Combat

125Matches
54%Win rate
1.31Avg K/D
89.6ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3358%1.2516.0
Dust22854%1.4017.4
Ancient1553%1.1417.0
Inferno1547%1.2821.3
Train1080%1.8120.2
Nuke1060%1.4016.8
Overpass838%1.2418.8
Anubis450%0.9615.0

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.

18.4%Headshot accuracy
38.2%Accuracy (enemy spotted)
38.1%Spray accuracy
85.1%Counter-strafing
8.9°Preaim
564msReaction time
44.3%T opening success
42.9%CT opening success
0.79Enemies flashed / flash
8.9%Flash assists
11.59HE damage / grenade
8.63Flashes / match

Recommended for you

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–130.058%10 Aug
mirage14–16-0.0118%10 Aug
mirage13–8-0.0213%10 Aug
inferno13–40.0218%27 Jul
mirage6–13-0.0620%27 Jul
ancient5–13-0.0625%26 Jul
cache13–60.0421%26 Jul
inferno2–13-0.0511%19 Jul
mirage9–130.0315%19 Jul
mirage16–14-0.0121%14 Jul
cache12–120.1221%13 Jul
dust28–130.0322%12 Jul
train8–130.0517%12 Jul
ancient13–60.028%12 Jul
ancient13–100.0625%12 Jul
anubis10–13-0.0216%10 Jul
shelter12–120.0914%10 Jul
dust25–13-0.0315%9 Jul
mirage13–4-0.0216%9 Jul
mirage13–160.0425%9 Jul
cache4–13-0.0426%9 Jul
cache13–3-0.0214%9 Jul
cache13–90.0612%8 Jul
nuke13–00.0147%8 Jul
mirage13–80.1522%8 Jul
ancient4–13-0.0517%7 Jul
mirage13–30.1714%7 Jul
ancient4–13-0.0419%6 Jul
ancient10–13-0.0120%6 Jul
mirage7–13-0.0318%6 Jul
nuke12–6-0.0514%6 Jul
mirage13–70.0418%4 Jul
inferno8–130.0123%4 Jul
train13–80.1210%4 Jul
nuke13–80.0623%4 Jul
mirage13–30.1129%4 Jul
anubis12–120.0115%4 Jul
dust213–90.0527%4 Jul
mirage8–13-0.0016%4 Jul
nuke13–70.0317%24 Jun
dust211–130.0015%24 Jun
mirage10–13-0.0128%24 Jun
cache13–6-0.0317%23 Jun
vertigo13–100.0323%23 Jun
mirage8–130.0718%23 Jun
dust26–130.0115%23 Jun
dust213–9-0.0324%20 Jun
nuke10–13-0.043%20 Jun
cache13–60.0410%20 Jun
inferno12–120.1010%20 Jun
dust25–13-0.0130%20 Jun
inferno9–130.0014%18 Jun
cache9–13-0.0013%18 Jun
overpass12–12-0.0113%18 Jun
anubis13–50.1412%17 Jun
dust25–130.0220%17 Jun
vertigo13–110.0317%17 Jun
inferno9–130.0525%17 Jun
inferno11–13-0.0312%16 Jun
dust212–120.0119%16 Jun
dust213–30.0437%16 Jun
cache11–130.0626%16 Jun
cache4–13-0.0222%15 Jun
inferno11–130.0114%15 Jun
dust213–20.0121%15 Jun
dust213–5-0.0126%14 Jun
mirage13–50.0118%14 Jun
ancient15–15-0.0419%14 Jun
mirage8–130.0332%14 Jun
inferno12–12-0.0112%14 Jun
ancient13–70.025%14 Jun
dust210–13-0.0022%13 Jun
vertigo10–130.0317%13 Jun
cache12–120.0220%13 Jun
dust213–00.117%13 Jun
inferno13–30.0311%12 Jun
mirage13–8-0.038%12 Jun
dust23–13-0.0629%12 Jun
cache13–90.0537%12 Jun
mirage5–130.0228%12 Jun
mirage2–13-0.0415%10 Jun
ancient13–70.0411%10 Jun
cache11–130.0118%10 Jun
cache6–13-0.015%9 Jun
inferno12–12-0.0325%9 Jun
mirage13–9-0.0116%9 Jun
mirage13–11-0.0211%9 Jun
overpass3–130.0418%7 Jun
cache13–70.0524%7 Jun
anubis5–120.0026%6 Jun
vertigo13–9-0.0118%6 Jun
dust213–110.1422%6 Jun
mirage13–10.1015%4 Jun
vertigo12–12-0.0419%3 Jun
inferno13–11-0.0132%3 Jun
cache13–30.0521%3 Jun
vertigo13–4-0.0223%3 Jun
ancient13–80.0211%3 Jun
anubis13–50.0121%3 Jun
anubis13–9-0.0010%3 Jun

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 →