MONKEYF

MONKEYF — CS2 Stats

MF76561198023325647[U:1:63059919]Steam profile ↗✓ No bans

1,219Tracked matches52%Win rate2020Tracked since
4,427Hours in CS20Hrs last 2 wks
CSDB Rating6.6 SolidSupport
Premier CS Rating17,388Purple band · top ~18.9% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 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: 17,388 -297 14 Aug – 6 Nov · 28 days played
15,36419,497peak 19,49714 Aug6 Nov
19,851Peak Premier in tracked matches
27Days played since 2026-08-14

Premier CS Rating

  • 2,109 below peak (19,497)
  • +633 over 30 days · improving
  • -297 over 90 days
  • Next: Pink band at 20,000 — 2,612 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches3412+22
Win rate53%58%−5pp
K/D1.161.09+0.07
Headshot %45%35%+11pp

Measured 18 Oct 2026 → 14 Nov 2026; previous 19 Sep 2026 → 18 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 rate39.9%48.2%50.9%11.0% short
Shot accuracy17.3%13.2%13.7%above
Kill/death ratio1.081.071.09meets
Match win rate49.9%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGMONKEYFFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER17,388 · Purple 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

Aim75
Positioning64
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateTWLWWLWWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.7pp headshot accuracy · −0ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 561ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim7.5
Utility7.2
Positioning6.4
Opening Duels4.3
Clutch4.4

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.

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 557ms 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

Aim7.5
Positioning6.4
Utility7.2
Mechanics6.2
Opening Duels5.0
Win Impact5.6

Composite 6.6/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time555ms−28ms
first ⅓ avg 583ms → last ⅓ avg 555ms
Headshot accuracy17.7%−0.5%
first ⅓ avg 18.2% → last ⅓ avg 17.7%

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

0.20Best match rating · 13–1 · inferno, 6 Sept →
37%Best headshot accuracy · 13–10 · cache, 4 Nov →
383msFastest reaction time · 0–13 · inferno, 21 Aug →
13–1Biggest win · inferno, 6 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 71% over 7nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.03
mirageB2010–1050%0.03
dust2C198–1142%-0.01
cacheB168–850%0.03
ancientA95–456%0.00
nukeD81–713%0.01
anubisS75–271%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,613Lifetime kills
1.08K/D · Top 50% of Level 9 players
5,472Matches
49.9%Match win rate · Top 25% of Level 9 players
39.9%Headshot %
17.3%Shot accuracy · Top 25% of Level 9 players
16,029MVPs
2,627Hours (in match)
6,005Bombs planted
1,621Bombs defused

Most-used weapons

AK-4736,026
AWP14,363
P2504,242
FAMAS2,690
MP72,638
MP92,594

Lifetime map wins

15,915inferno
5,168dust2
2,157train
780cbble
746nuke
514vertigo
227office
62safehouse

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

Faceit stats

Combat

907Matches
52%Win rate
1.12Avg K/D
71.9ADR
38%Headshot %

Clutches & streaks

42%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4957%1.1914.3
Dust23259%1.0113.6
Inferno3177%1.4013.4
Ancient2055%1.0816.4
Anubis1861%1.0713.7
Train956%0.9012.4
Cache875%1.3514.3
Nuke667%0.8911.0

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.

17.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
35.1%Spray accuracy
78.0%Counter-strafing
8.8°Preaim
557msReaction time
54.7%T opening success
44.9%CT opening success
0.73Enemies flashed / flash
5.7%Flash assists
11.60HE damage / grenade
8.81Flashes / match

Recommended for you

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–150.0218%6 Nov →
cache13–11-0.019%6 Nov →
dust28–130.0123%5 Nov →
anubis13–70.0722%5 Nov →
anubis13–70.0617%4 Nov →
nuke7–130.0522%4 Nov →
inferno7–00.0620%4 Nov →
cache13–100.1037%4 Nov →
nuke7–130.0216%4 Nov →
anubis13–80.0113%4 Nov →
ancient13–30.0316%4 Nov →
cache13–110.1221%4 Nov →
cache13–60.0718%3 Nov →
dust213–30.0418%3 Nov →
nuke13–60.0732%3 Nov →
anubis11–13-0.084%3 Nov →
dust23–13-0.0922%3 Nov →
nuke11–130.0713%2 Nov →
cache9–130.0318%2 Nov →
ancient13–11-0.077%2 Nov →
inferno13–30.0311%2 Nov →
inferno10–130.0220%2 Nov →
mirage13–70.0013%1 Nov →
mirage11–130.0421%1 Nov →
mirage9–13-0.0221%1 Nov →
dust26–13-0.0516%31 Oct →
dust28–13-0.0425%31 Oct →
mirage10–13-0.0412%31 Oct →
inferno13–70.0311%31 Oct →
inferno2–13-0.0817%30 Oct →
ancient6–13-0.0310%30 Oct →
dust213–110.0827%30 Oct →
inferno4–13-0.0216%27 Oct →
inferno13–6-0.028%26 Oct →
mirage11–13-0.0217%26 Oct →
mirage13–70.0313%10 Oct →
cache13–90.0612%10 Oct →
ancient6–130.025%10 Oct →
ancient13–50.0215%10 Oct →
inferno13–60.0331%10 Oct →
ancient12–160.0111%10 Oct →
ancient13–40.0516%24 Sept →
dust213–10-0.0314%24 Sept →
cache7–130.1014%20 Sept →
mirage13–80.0213%20 Sept →
nuke3–13-0.146%20 Sept →
cache15–15-0.0312%20 Sept →
dust20–13-0.0924%6 Sept →
mirage9–13-0.0311%6 Sept →
inferno13–10.2016%6 Sept →
inferno10–130.0524%4 Sept →
inferno13–70.0420%4 Sept →
cache10–130.0413%31 Aug →
mirage8–130.0723%31 Aug →
mirage8–130.0322%29 Aug →
inferno11–130.0217%29 Aug →
mirage13–110.0913%29 Aug →
dust213–11-0.0121%29 Aug →
cache0–2-0.000%29 Aug →
nuke7–13-0.0120%28 Aug →
nuke5–13-0.0525%28 Aug →
ancient13–11-0.0218%28 Aug →
dust216–12-0.0612%28 Aug →
ancient9–130.0226%28 Aug →
inferno13–30.0313%25 Aug →
mirage13–8-0.0021%23 Aug →
dust27–13-0.0727%23 Aug →
dust27–13-0.0214%23 Aug →
dust216–14-0.0126%21 Aug →
inferno0–13-0.0425%21 Aug →
mirage10–130.0321%21 Aug →
inferno13–50.1822%21 Aug →
dust212–120.0624%20 Aug →
cache5–13-0.0413%20 Aug →
mirage11–130.0320%20 Aug →
inferno12–12-0.0112%20 Aug →
mirage13–30.0811%18 Aug →
dust213–90.0410%18 Aug →
cache13–100.0215%18 Aug →
inferno13–60.0317%18 Aug →
anubis5–13-0.049%17 Aug →
inferno10–13-0.0418%17 Aug →
dust211–130.0417%17 Aug →
inferno14–160.0223%17 Aug →
nuke4–130.0216%17 Aug →
anubis13–80.0514%17 Aug →
dust213–9-0.0013%17 Aug →
inferno13–110.0024%17 Aug →
dust28–130.0318%17 Aug →
mirage13–10.1030%17 Aug →
cache1–13-0.029%16 Aug →
cache5–13-0.0721%16 Aug →
cache16–13-0.0316%15 Aug →
cache13–30.0825%15 Aug →
inferno13–90.0621%15 Aug →
mirage13–20.0616%15 Aug →
mirage13–80.0225%15 Aug →
mirage16–120.1116%14 Aug →
mirage9–130.0226%14 Aug →
anubis7–10.0814%14 Aug →

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 →

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