LittleMonkey

LittleMonkey — CS2 Stats

GB76561198071614116[U:1:111348388]Steam profile ↗✓ No bans

299Tracked matches40%Win rate2020Tracked since
815Hours in CS
CSDB Rating4.6 DevelopingSupport
Premier CS Rating19,999Top 50% of 203,724 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#82109 of 251067 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Jun 2026 (129 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: 19,999 +703 9 Jan – 1 Jun · 36 days played
19,12621,196peak 21,1969 Jan1 Jun
21,287Peak Premier in tracked matches
43Days played since 2026-01-09

Premier CS Rating

  • 1,197 below peak (21,196)
  • -632 over 30 days · declining
  • +353 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

No matches recorded between 7 Sep 2026 and 8 Oct 2026.

Measured 7 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.2%44.3%46.9%4.7% short
Shot accuracy15.4%11.9%13.0%above
Kill/death ratio1.401.031.08above
Match win rate48.6%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGLittleMonkeyPREMIER19,999 · 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

Aim52
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateWLWLWLLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +3.6pp headshot accuracy · −11ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 620ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 618ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 624ms

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 (+2 against its own average).

Aim5.2
Utility5.4
Positioning4.8
Opening Duels3.4
Clutch0.0

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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 616ms 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

Aim5.2
Positioning4.8
Utility5.4
Mechanics5.5
Opening Duels2.7
Win Impact1.7

Composite 4.6/10 (Developing), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time625ms+10ms
first ⅓ avg 615ms → last ⅓ avg 625ms
Headshot accuracy22.2%+3.9%
first ⅓ avg 18.2% → last ⅓ avg 22.2%

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

0.15Best match rating · 13–5 · cache, 30 Apr →
41%Best headshot accuracy · 6–13 · ancient, 25 May →
453msFastest reaction time · 6–13 · inferno, 20 Feb →
13–1Biggest win · mirage, 1 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 55% over 20anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%-0.00
dust2A2011–955%0.00
infernoB199–1047%-0.03
ancientD134–931%-0.02
nukeB137–654%-0.00
anubisD72–529%0.02
overpass—30–30%-0.02
train—22–0100%0.01
cache—11–0100%0.15

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,085Lifetime kills
1.40K/D · Top 10% of Purple band
2,262Matches
48.6%Match win rate · Top 25% of Purple band
42.2%Headshot %
15.4%Shot accuracy · Top 25% of Purple band
5,247MVPs
815Hours (in match)
1,412Bombs planted
581Bombs defused

Most-used weapons

AK-4715,348
AWP5,754
P901,075
MP91,055
UMP-451,027

Lifetime map wins

3,295dust2
3,049inferno
1,473nuke
1,093train
1,024cbble
192lake
168safehouse
124aztec

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

Faceit stats

Combat

112Matches
54%Win rate
1.70Avg K/D
36.1ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

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
28.9%Accuracy (enemy spotted)
31.7%Spray accuracy
74.5%Counter-strafing
10.8°Preaim
616msReaction time
37.0%T opening success
44.9%CT opening success
0.54Enemies flashed / flash
6.4%Flash assists
7.48HE damage / grenade
11.94Flashes / 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 36.9696% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10.0228%1 Jun →
dust211–130.0133%1 Jun →
ancient13–50.0127%27 May →
ancient5–13-0.0121%26 May →
inferno13–9-0.0213%26 May →
ancient6–13-0.0241%25 May →
mirage11–130.0419%25 May →
inferno9–130.0220%24 May →
dust213–4-0.0126%24 May →
inferno13–20.0723%22 May →
nuke9–13-0.0132%22 May →
ancient11–130.0019%21 May →
dust26–13-0.0213%16 May →
anubis13–100.0629%12 May →
dust213–8-0.0029%11 May →
inferno4–13-0.0925%11 May →
nuke13–30.0326%11 May →
inferno11–13-0.0319%10 May →
overpass5–13-0.0114%8 May →
inferno13–30.009%8 May →
ancient9–13-0.0610%7 May →
mirage6–13-0.0929%7 May →
mirage7–130.0022%6 May →
inferno10–13-0.0314%6 May →
nuke13–16-0.0420%4 May →
mirage13–50.0921%4 May →
cache13–50.1533%30 Apr →
dust213–11-0.0210%21 Mar →
mirage10–13-0.0016%20 Mar →
mirage9–130.0131%18 Mar →
inferno13–9-0.0426%18 Mar →
mirage5–13-0.0121%17 Mar →
dust21–13-0.0914%14 Mar →
nuke13–60.0924%13 Mar →
inferno13–20.0120%13 Mar →
dust213–100.0430%13 Mar →
dust213–70.0631%12 Mar →
mirage11–13-0.0423%12 Mar →
inferno9–13-0.0520%12 Mar →
mirage13–110.0729%12 Mar →
inferno13–8-0.019%9 Mar →
dust24–13-0.0121%9 Mar →
inferno5–13-0.0117%8 Mar →
nuke13–40.0016%8 Mar →
ancient13–4-0.0415%8 Mar →
anubis10–130.0122%8 Mar →
dust213–100.0114%8 Mar →
overpass8–13-0.0420%6 Mar →
anubis4–130.0227%6 Mar →
dust27–13-0.0228%6 Mar →
mirage13–5-0.0112%4 Mar →
ancient2–13-0.0824%4 Mar →
dust213–8-0.0111%4 Mar →
inferno13–10-0.067%2 Mar →
dust27–13-0.0518%2 Mar →
mirage13–80.0214%25 Feb →
nuke11–13-0.0312%25 Feb →
nuke4–130.0123%25 Feb →
dust21–13-0.0236%25 Feb →
nuke13–11-0.0311%24 Feb →
mirage13–30.0013%24 Feb →
inferno13–8-0.0119%24 Feb →
mirage9–13-0.0114%24 Feb →
ancient11–13-0.0415%24 Feb →
ancient13–80.0513%22 Feb →
dust213–160.0113%22 Feb →
mirage11–13-0.0215%21 Feb →
anubis12–160.0012%21 Feb →
inferno3–13-0.0420%21 Feb →
ancient6–13-0.0214%20 Feb →
mirage13–70.0428%20 Feb →
inferno6–13-0.069%20 Feb →
dust213–60.049%20 Feb →
anubis8–130.0419%18 Feb →
ancient13–11-0.0320%13 Feb →
dust213–50.0810%13 Feb →
mirage13–11-0.0528%12 Feb →
nuke13–60.0120%12 Feb →
nuke15–15-0.0422%11 Feb →
inferno11–13-0.0516%11 Feb →
mirage13–60.0415%11 Feb →
dust213–50.0521%11 Feb →
anubis9–13-0.0218%9 Feb →
dust27–13-0.0033%9 Feb →
nuke13–80.0217%7 Feb →
overpass6–13-0.0122%7 Feb →
mirage11–13-0.057%7 Feb →
inferno16–12-0.0620%7 Feb →
mirage13–60.0315%2 Feb →
anubis13–60.0016%29 Jan →
mirage9–13-0.0522%29 Jan →
train13–90.0220%11 Jan →
ancient2–13-0.0622%11 Jan →
inferno11–13-0.0624%11 Jan →
nuke3–13-0.0614%11 Jan →
dust213–11-0.0324%9 Jan →
mirage7–5-0.066%9 Jan →
nuke13–10-0.0225%9 Jan →
train13–30.0115%9 Jan →
ancient10–130.0719%9 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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