CHUNKY_monkey

CHUNKY_monkey — CS2 Stats

NZ76561198085950754[U:1:125685026]Steam profile ↗✓ No bans

968Tracked matches62%Win rate2021Tracked since
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating10,331Blue band · top ~53.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (2 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: 10,331 +6,593 14 Sept – 9 Oct · 15 days played
3,62210,546peak 10,54614 Sept9 Oct
Faceit ELO: 809 +0 1 Sept – 23 Sept · 4 observations
809809peak 8091 Sept23 Sept
10,546Peak Premier in tracked matches
809Highest Faceit ELO seen on CSDB
27Days played since 2026-08-29

Faceit ELO

  • At peak — 809
  • Next: Level 4 at 901 — 92 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-01
  • Level 2 first seen 2026-09-01

Premier CS Rating

  • 215 below peak (10,546)
  • +6,593 over 30 days · improving
  • Next: Purple band at 15,000 — 4,669 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGCHUNKY_monkeyPREMIER10,331 · Blue bandPEAK ELO809csdb.gg/stats

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Performance scores

Aim47
Positioning46
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY60–36–4Last 10060%Win rateWLWLLWLWLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −1.1pp headshot accuracy · −14ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 15%
  • Avg reaction 483ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 510ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 517ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim4.7
Utility4.0
Positioning4.6
Opening Duels1.2
Clutch7.6

Reliable in 1v1s

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 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 57% on T to 31% on CT — first contacts on the defending side are being lost.

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

Aim4.7
Positioning4.6
Utility4.0
Mechanics5.0
Opening Duels3.5
Win Impact9.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time553ms−47ms
first ⅓ avg 600ms → last ⅓ avg 553ms
Headshot accuracy13.2%−0.0%
first ⅓ avg 13.2% → last ⅓ avg 13.2%

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

0.17Best match rating · 13–0 · ancient, 29 Sept →
100%Best headshot accuracy · 2–0 · anubis, 18 Sept →
375msFastest reaction time · 13–5 · ancient, 3 Oct →
13–0Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
9–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 100% over 6dust2Weakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2415–963%-0.01
nukeA1610–663%-0.01
infernoA138–562%-0.03
dust2C125–742%-0.02
ancientA106–460%-0.00
cacheB63–350%-0.03
anubisS66–0100%0.02
rush_001—42–250%-0.08
vertigo—43–175%0.00
office—21–150%-0.00
train—10–10%-0.03
overpass—10–10%-0.00
boulder—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

51Matches
35%Win rate
0.66Avg K/D
62.8ADR
40%Headshot %

Clutches & streaks

58%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2631%0.689.5
Inferno1173%0.678.7
Dust2714%0.5710.6
Nuke520%0.609.0
Ancient20%0.6813.0

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.

11.9%Headshot accuracy
31.3%Accuracy (enemy spotted)
29.5%Spray accuracy
72.4%Counter-strafing
10.3°Preaim
549msReaction time
56.5%T opening success
31.1%CT opening success
0.43Enemies flashed / flash
1.6%Flash assists
7.41HE damage / grenade
8.35Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.9373% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4348 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.0756% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0511%11 Oct →
mirage2–13-0.0420%10 Oct →
nuke13–10-0.0816%10 Oct →
nuke2–13-0.1115%9 Oct →
ancient7–13-0.0615%9 Oct →
inferno13–0-0.023%8 Oct →
dust25–13-0.0315%8 Oct →
cache13–60.0313%8 Oct →
nuke6–13-0.0310%6 Oct →
cache1–13-0.0915%6 Oct →
rush_0017–8-0.1150%4 Oct →
ancient13–60.016%4 Oct →
cache13–90.0115%4 Oct →
anubis13–00.0820%3 Oct →
ancient13–50.018%3 Oct →
ancient13–3-0.063%2 Oct →
anubis13–9-0.0016%2 Oct →
inferno7–13-0.079%2 Oct →
mirage13–8-0.046%2 Oct →
ancient13–7-0.0310%2 Oct →
vertigo13–5-0.0511%2 Oct →
dust213–90.0214%2 Oct →
ancient13–10.0111%2 Oct →
nuke6–13-0.076%2 Oct →
mirage13–10.0123%30 Sept →
train8–13-0.0315%30 Sept →
ancient13–00.1714%29 Sept →
mirage10–13-0.0111%29 Sept →
mirage13–11-0.0212%27 Sept →
dust23–13-0.035%27 Sept →
nuke15–15-0.0213%27 Sept →
nuke13–8-0.0218%26 Sept →
cache13–6-0.048%26 Sept →
rush_0017–3-0.0517%26 Sept →
rush_0017–8-0.0917%26 Sept →
vertigo13–110.0111%25 Sept →
ancient7–13-0.049%25 Sept →
rush_0017–3-0.060%25 Sept →
anubis13–50.0118%25 Sept →
nuke13–110.0415%25 Sept →
dust213–70.076%25 Sept →
cache10–13-0.016%25 Sept →
mirage15–150.0119%25 Sept →
nuke13–60.025%25 Sept →
mirage11–13-0.0511%24 Sept →
mirage13–10-0.0314%24 Sept →
dust211–13-0.029%24 Sept →
mirage10–9-0.0615%24 Sept →
ancient5–13-0.043%24 Sept →
nuke9–13-0.0219%24 Sept →
cache14–16-0.085%22 Sept →
nuke7–13-0.0312%21 Sept →
mirage13–10-0.0517%21 Sept →
mirage13–8-0.0810%20 Sept →
inferno13–10-0.0214%20 Sept →
dust213–20.017%20 Sept →
inferno7–13-0.0113%20 Sept →
mirage13–70.0711%20 Sept →
anubis13–50.095%20 Sept →
nuke13–2-0.015%19 Sept →
nuke13–9-0.0819%19 Sept →
mirage13–90.007%19 Sept →
dust29–2-0.0012%19 Sept →
mirage16–14-0.0311%19 Sept →
anubis13–11-0.059%19 Sept →
inferno13–10-0.0416%19 Sept →
mirage13–40.0411%19 Sept →
dust210–13-0.049%19 Sept →
inferno7–13-0.098%18 Sept →
mirage13–8-0.018%18 Sept →
mirage15–15-0.022%18 Sept →
mirage5–13-0.0413%18 Sept →
ancient11–13-0.026%18 Sept →
nuke13–5-0.027%18 Sept →
mirage13–6-0.0416%18 Sept →
anubis2–00.03100%18 Sept →
mirage13–16-0.0112%17 Sept →
mirage7–20.062%15 Sept →
inferno0–13-0.0450%15 Sept →
nuke13–30.004%15 Sept →
dust25–13-0.0715%15 Sept →
inferno13–80.0110%14 Sept →
nuke13–110.077%14 Sept →
inferno13–7-0.008%13 Sept →
dust21–13-0.0611%13 Sept →
office13–80.039%8 Sept →
mirage11–13-0.0014%8 Sept →
vertigo13–10-0.019%6 Sept →
dust213–11-0.0113%6 Sept →
nuke13–30.146%6 Sept →
overpass11–13-0.0012%6 Sept →
boulder13–10.040%6 Sept →
vertigo10–130.078%6 Sept →
inferno11–13-0.0511%6 Sept →
inferno13–6-0.018%5 Sept →
office12–12-0.037%29 Aug →
dust27–13-0.045%29 Aug →
mirage11–13-0.0010%29 Aug →
inferno13–9-0.0418%29 Aug →
mirage13–6-0.0019%29 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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