frag monkey

frag monkey — CS2 Stats

US76561198285225309[U:1:324959581]Steam profile ↗

869Tracked matches50%Win rate2020Tracked since
1,186Hours in CS
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating16,908Purple band · top ~20.8% of ranked players (population est.)
CSDB Leaderboard#10846 of 18671 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGfrag monkeyFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER16,908 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48511Last 10048%Win rateWWWWLLWLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.3
Aggression5.0
Utility4.6
Positioning4.8
Opening Duels1.1
Clutch2.6

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 630ms 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

Aim7.3
Positioning4.8
Utility4.6
Mechanics7.7
Opening Duels1.1
Win Impact5.0

Composite 5.6/10 (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

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time636ms+3ms
first ⅓ avg 633ms → last ⅓ avg 636ms
Headshot accuracy22.4%+6.5%
first ⅓ avg 15.9% → last ⅓ avg 22.4%

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

0.12Best rating — nuke 13–6
131Biggest win — anubis
5Longest win streak
W4Current streak
46In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 56% over 9ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%-0.01
mirageA2011955%-0.01
anubisB189950%-0.01
ancientC125742%-0.01
infernoC125742%-0.02
nukeA95456%-0.00
cache42250%0.03
overpass3030%-0.04
vertigo110100%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,207Lifetime kills
1.29K/D · Top 25% of tracked players
1,838Matches
46.9%Match win rate · Top 50% of tracked players
38.9%Headshot %
15.2%Shot accuracy · Top 50% of tracked players
4,399MVPs
1,186Hours (in match)
3,071Bombs planted
539Bombs defused

Most-used weapons

Lifetime map wins

3,994dust2
2,661inferno
775nuke
492train
322vertigo
112office
111cbble
103aztec

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

Faceit stats

Combat

366Matches
50%Win rate
0.96Avg K/D
72.5ADR
54%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4544%1.0714.0
Ancient3855%1.0815.7
Anubis2748%0.9214.1
Inferno2556%0.9716.0
Nuke838%1.0617.8
Vertigo743%0.7411.9
Dust2650%1.1818.0
Overpass540%0.7613.2

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.

22.1%Headshot accuracy
33.9%Accuracy (enemy spotted)
38.2%Spray accuracy
84.7%Counter-strafing
10.3°Preaim
630msReaction time
31.5%T opening success
37.0%CT opening success
0.47Enemies flashed / flash
7.9%Flash assists
3.06HE damage / grenade
15.42Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4694 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 31.5419% — below the 40% mark we flag

Spend your practice time on Ancient

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–60.1233%22 Aug
dust213–6-0.0130%22 Aug
anubis13–9-0.0036%22 Aug
ancient13–100.0220%21 Aug
nuke3–13-0.0644%10 Aug
ancient13–16-0.0222%8 Aug
ancient13–6-0.0111%8 Aug
anubis10–13-0.0419%8 Aug
dust216–130.0322%8 Aug
dust213–16-0.0715%7 Aug
anubis13–70.0316%7 Aug
nuke14–16-0.0010%5 Aug
cache7–10.0737%5 Aug
mirage13–2-0.0219%5 Aug
ancient6–13-0.0112%1 Aug
cache7–2-0.0118%1 Aug
dust26–13-0.1019%1 Aug
mirage8–13-0.0630%1 Aug
anubis10–13-0.0121%1 Aug
anubis5–13-0.0730%1 Aug
mirage4–13-0.0438%1 Aug
ancient11–13-0.0627%31 Jul
dust213–100.0216%31 Jul
nuke13–100.0122%31 Jul
mirage13–7-0.0335%31 Jul
anubis4–13-0.014%19 Jul
cache10–130.0224%19 Jul
dust27–13-0.0212%19 Jul
anubis13–9-0.0415%19 Jul
dust213–50.0128%18 Jul
mirage16–140.0217%18 Jul
inferno1–13-0.0326%18 Jul
nuke13–7-0.0414%18 Jul
ancient13–60.0419%18 Jul
anubis7–13-0.0317%18 Jul
dust213–9-0.0129%17 Jul
anubis13–10.0017%17 Jul
mirage13–8-0.0238%17 Jul
anubis12–16-0.0122%9 Jul
ancient5–13-0.0913%9 Jul
cache8–130.0620%9 Jul
inferno11–13-0.0624%1 Jul
inferno13–6-0.0622%29 Jun
ancient13–50.0524%29 Jun
mirage13–60.0026%29 Jun
mirage4–13-0.0222%27 Jun
anubis13–11-0.0115%27 Jun
inferno9–13-0.0223%27 Jun
nuke13–70.0018%26 Jun
ancient5–13-0.0911%26 Jun
mirage13–10-0.0313%26 Jun
ancient5–13-0.0215%26 Jun
anubis13–60.0017%13 Mar
anubis9–130.0213%13 Mar
inferno13–9-0.0113%13 Mar
inferno11–13-0.0029%12 Mar
dust27–13-0.063%12 Mar
dust213–90.0721%11 Mar
ancient13–80.0625%11 Mar
overpass4–13-0.0612%8 Mar
mirage13–80.0417%8 Mar
dust24–130.0235%8 Mar
inferno13–100.0518%8 Mar
anubis13–8-0.0312%8 Mar
dust211–13-0.0018%7 Mar
nuke5–13-0.0416%7 Mar
mirage9–13-0.0022%7 Mar
anubis10–13-0.0216%7 Mar
dust213–70.1017%28 Feb
mirage10–13-0.0114%28 Feb
inferno13–90.0220%28 Feb
mirage13–70.0514%28 Feb
nuke14–16-0.009%28 Feb
overpass10–13-0.0010%27 Feb
mirage13–110.0221%27 Feb
anubis13–10-0.0014%27 Feb
nuke16–130.0117%26 Feb
dust216–140.0214%26 Feb
dust213–50.0210%26 Feb
dust24–13-0.0726%25 Feb
overpass9–13-0.0714%25 Feb
mirage13–100.0916%23 Feb
mirage4–13-0.065%23 Feb
dust215–15-0.0217%23 Feb
mirage3–130.0712%23 Feb
dust25–13-0.0215%23 Feb
ancient7–13-0.046%23 Feb
inferno4–130.0419%23 Feb
inferno9–13-0.0218%23 Feb
vertigo13–7-0.0213%23 Feb
dust213–9-0.036%23 Feb
mirage16–13-0.0228%23 Feb
inferno9–13-0.0215%23 Feb
dust210–13-0.0325%23 Feb
anubis9–130.0423%22 Feb
inferno13–10-0.0619%22 Feb
mirage6–13-0.0615%22 Feb
mirage10–13-0.0228%21 Feb
anubis13–30.0318%21 Feb
dust27–13-0.018%21 Feb

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 →