Monkey D. Luffy

Monkey D. Luffy — CS2 Stats

ES76561198185964321[U:1:225698593]Steam profile ↗✓ No bans

3,235Tracked matches59%Win rate2020Tracked since
6,156Hours in CS14Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
Premier CS Rating19,348Top 50% of 215,386 CSDB-tracked playersPurple band · top ~11.1% of ranked players (population est.)
CSDB Leaderboard#95878 of 261550 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 19,348 +7,396 14 Sept – 13 Nov · 27 days played
11,53320,114peak 20,11414 Sept13 Nov
20,114Peak Premier in tracked matches
27Days played since 2026-09-14

Premier CS Rating

  • 766 below peak (20,114)
  • +4,244 over 30 days · improving
  • Next: Pink band at 20,000 — 652 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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.6%41.8%42.7%4.1% short
Shot accuracy9.3%12.2%11.2%1.9% short
Kill/death ratio0.930.980.990.07 short
Match win rate34.1%43.3%43.9%9.9% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMonkey D. LuffyFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,348 · 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

Aim55
Positioning45
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateTLLLWWWWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.5pp headshot accuracy · +28ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 621ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 607ms

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 (+1.2 against its own average).

Aim5.5
Utility5.2
Positioning4.5
Opening Duels2.2

Strong CT-side opener

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, positioning profile.

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

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.5
Positioning4.5
Utility5.2
Mechanics4.3
Opening Duels3.3
Win Impact7.9

Composite 5.1/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time617ms−33ms
first ⅓ avg 651ms → last ⅓ avg 617ms
Headshot accuracy19.6%−0.9%
first ⅓ avg 20.4% → last ⅓ avg 19.6%

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.

Personal bests

0.10Best match rating · 13–7 · cache, 25 Sept →
36%Best headshot accuracy · 13–8 · mirage, 28 Sept →
422msFastest reaction time · 8–13 · inferno, 2 Nov →
13–3Biggest win · mirage, 31 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 71% over 14nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2615–1158%-0.02
dust2S2315–865%-0.01
cacheS1410–471%0.00
mirageA127–558%-0.01
anubisA95–456%-0.02
ancientC83–538%-0.02
nukeD72–529%-0.03
vertigo—11–0100%0.03

Across the last 100 tracked matches.

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

Lifetime stats

183,721Lifetime kills
0.93K/D
11,168Matches
34.1%Match win rate
38.6%Headshot %
9.3%Shot accuracy
16,655MVPs
3,527Hours (in match)
9,214Bombs planted
1,544Bombs defused

Most-used weapons

AK-4733,351
AWP18,930
FAMAS7,118
MP75,169
MAC-104,823

Lifetime map wins

17,367dust2
17,033inferno
3,844nuke
3,025vertigo
1,053train
413lake
377cbble
251safehouse

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

Faceit stats

Combat

45Matches
36%Win rate
0.76Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage838%0.8412.6
Anubis40%0.273.8
Inferno425%0.608.8
Nuke450%0.7810.8
Vertigo333%0.7710.7
Ancient1100%0.7213.0

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.

19.3%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.7%Spray accuracy
69.2%Counter-strafing
11.0°Preaim
616msReaction time
38.6%T opening success
48.0%CT opening success
0.48Enemies flashed / flash
5.5%Flash assists
11.88HE damage / grenade
10.45Flashes / 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 0.4787 — 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 38.5993% — below the 40% mark we flag

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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke15–15-0.0020%13 Nov →
ancient8–13-0.0218%13 Nov →
dust24–13-0.0619%9 Nov →
cache9–13-0.0226%9 Nov →
dust213–50.0322%9 Nov →
cache13–7-0.0128%9 Nov →
anubis16–12-0.0419%5 Nov →
inferno13–70.0315%5 Nov →
cache13–9-0.0223%5 Nov →
anubis7–13-0.0414%3 Nov →
mirage4–130.0119%2 Nov →
inferno11–13-0.0221%2 Nov →
inferno8–13-0.0116%2 Nov →
dust213–110.0321%1 Nov →
anubis13–40.0621%1 Nov →
mirage13–9-0.0021%1 Nov →
anubis16–13-0.0222%31 Oct →
mirage16–13-0.0317%31 Oct →
mirage13–30.0621%31 Oct →
dust210–13-0.0021%29 Oct →
dust213–5-0.0013%28 Oct →
dust211–13-0.0114%28 Oct →
cache13–80.1032%28 Oct →
ancient4–13-0.0313%28 Oct →
cache13–110.0413%28 Oct →
cache16–14-0.0313%28 Oct →
dust28–13-0.0427%28 Oct →
anubis13–8-0.0123%28 Oct →
inferno6–13-0.1211%28 Oct →
nuke13–4-0.0819%28 Oct →
mirage13–9-0.0133%28 Oct →
cache2–13-0.0519%28 Oct →
inferno13–110.0015%28 Oct →
dust210–13-0.0817%27 Oct →
inferno13–9-0.014%27 Oct →
inferno13–9-0.0013%25 Oct →
cache4–13-0.039%25 Oct →
dust24–13-0.0914%25 Oct →
inferno16–13-0.0019%23 Oct →
ancient13–4-0.026%23 Oct →
anubis9–13-0.079%23 Oct →
inferno7–0-0.040%23 Oct →
inferno13–7-0.0323%21 Oct →
inferno13–100.0117%21 Oct →
inferno3–9-0.0521%21 Oct →
inferno6–9-0.0226%21 Oct →
nuke14–16-0.0313%18 Oct →
dust213–90.0315%18 Oct →
cache13–4-0.0313%18 Oct →
dust213–5-0.0125%10 Oct →
inferno16–12-0.0718%10 Oct →
inferno13–90.0518%9 Oct →
dust213–80.0420%9 Oct →
mirage3–13-0.0515%9 Oct →
inferno13–9-0.0317%9 Oct →
cache13–11-0.0116%9 Oct →
dust213–10-0.0613%9 Oct →
ancient16–14-0.0326%1 Oct →
nuke13–8-0.056%1 Oct →
dust216–13-0.0817%1 Oct →
dust210–13-0.0522%1 Oct →
dust213–8-0.0120%30 Sept →
inferno13–4-0.0216%30 Sept →
mirage13–7-0.0521%29 Sept →
nuke11–13-0.0216%29 Sept →
nuke4–13-0.0627%29 Sept →
anubis2–13-0.055%28 Sept →
inferno1–130.0212%28 Sept →
dust213–60.0221%28 Sept →
mirage13–80.0236%28 Sept →
cache2–13-0.0325%28 Sept →
mirage4–13-0.0720%28 Sept →
ancient12–16-0.0315%25 Sept →
inferno12–16-0.0312%25 Sept →
anubis13–50.0220%25 Sept →
cache13–70.1021%25 Sept →
inferno10–13-0.037%23 Sept →
ancient13–70.0418%23 Sept →
dust213–80.0826%19 Sept →
anubis6–13-0.0126%17 Sept →
mirage13–100.0126%17 Sept →
dust213–8-0.0031%17 Sept →
inferno10–13-0.0420%17 Sept →
nuke13–16-0.0027%17 Sept →
dust213–10-0.0321%17 Sept →
dust213–80.0131%17 Sept →
inferno13–9-0.0124%16 Sept →
mirage14–16-0.0424%16 Sept →
dust27–13-0.0620%16 Sept →
ancient4–13-0.0818%16 Sept →
inferno13–16-0.0726%16 Sept →
cache13–70.018%15 Sept →
inferno7–13-0.0421%14 Sept →
inferno13–9-0.0114%14 Sept →
ancient10–130.0022%14 Sept →
cache13–3-0.0112%14 Sept →
mirage11–13-0.0311%14 Sept →
dust213–60.0523%14 Sept →
vertigo13–100.0319%14 Sept →
inferno13–110.0118%14 Sept →

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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