Luffy-Eyss

Luffy-Eyss — CS2 Stats

DE76561198016875985[U:1:56610257]Steam profile ↗✓ No bans

2,406Tracked matches17%Win rate2020Tracked since
6,129Hours in CS30Hrs last 2 wks
CSDB Rating2.9 LearningSupport
Premier CS Rating1,570Grey band · top ~93.3% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 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: 1,570 -3,012 23 Sept – 31 Oct · 26 days played
1,5704,582peak 4,58223 Sept31 Oct
4,706Peak Premier in tracked matches
27Days played since 2026-09-23

Premier CS Rating

  • 3,012 below peak (4,582)
  • -2,032 over 30 days · declining
  • Next: Light Blue band at 5,000 — 3,430 to go

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
Matches11793+24
Win rate26%25%+2pp
K/D0.660.68−0.02
Headshot %32%36%−4pp

Measured 3 Oct 2026 → 1 Nov 2026; previous 7 Sep 2026 → 3 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate35.4%38.2%39.9%4.6% short
Shot accuracy13.8%3.6%7.0%above
Kill/death ratio0.610.830.920.31 short
Match win rate51.7%40.2%42.3%above

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGLuffy-EyssPREMIER1,570 · Grey bandcsdb.gg/stats

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Performance scores

Aim26
Positioning42
Utility58

0–100 skill scores via Leetify.

Recent form

COLD20–79–1Last 10020%Win rateLLLLLLWLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +5.4pp headshot accuracy · +28ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 669ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 704ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 690ms

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 (+3.3 against its own average).

Aim2.6
Utility5.8
Positioning4.2
Opening Duels0.0
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

iM

Plays most like iM 56% 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. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.6
Positioning4.2
Utility5.8
Mechanics4.0
Opening Duels1.1
Win Impact0.0

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.02
first ⅓ avg -0.07 → last ⅓ avg -0.04
Reaction time674ms+8ms
first ⅓ avg 666ms → last ⅓ avg 674ms
Headshot accuracy10.5%−2.5%
first ⅓ avg 12.9% → last ⅓ avg 10.5%

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

0.04Best match rating · 13–9 · anubis, 11 Oct →
40%Best headshot accuracy · 2–13 · dust2, 3 Oct →
406msFastest reaction time · 2–13 · inferno, 25 Sept →
13–3Biggest win · ancient, 11 Oct →

Across the last 100 tracked matches.

Highlights

2Longest win streak
L6Current streak
5–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 33% over 12mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D284–2414%-0.06
infernoD164–1225%-0.03
cacheD153–1220%-0.06
anubisD124–833%-0.05
nukeD112–918%-0.07
mirageD91–811%-0.05
ancientD71–614%-0.04
vertigo—21–150%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,519Lifetime kills
0.61K/D
8,989Matches
51.7%Match win rate · Top 5% of Grey band
35.4%Headshot %
13.8%Shot accuracy · Top 25% of Grey band
9,383MVPs
3,034Hours (in match)
8,550Bombs planted
1,255Bombs defused

Most-used weapons

AK-4714,433
FAMAS6,305
MP73,793
P2503,574
AWP3,258
AUG3,251
SG 5533,130

Lifetime map wins

14,375dust2
13,242inferno
5,287vertigo
3,143nuke
1,894train
736cbble
382dust
178office

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

Faceit stats

Combat

10Matches
50%Win rate
0.56Avg K/D
52.1ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.437.0
Dust2250%0.568.0
Mirage10%0.508.0
Ancient1100%1.1110.0
Cache1100%0.7414.0

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.

10.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.7%Spray accuracy
67.8%Counter-strafing
13.5°Preaim
663msReaction time
39.0%T opening success
29.3%CT opening success
0.50Enemies flashed / flash
3.8%Flash assists
9.34HE damage / grenade
9.59Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.4646° — above the 12° mark we flag

    Aim Training →
  2. 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 10.8226% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4992 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0713%31 Oct →
nuke4–13-0.1215%31 Oct →
nuke6–13-0.0427%28 Oct →
inferno8–13-0.0113%27 Oct →
ancient10–130.0012%27 Oct →
mirage6–13-0.0714%27 Oct →
vertigo9–7-0.023%26 Oct →
dust26–130.007%25 Oct →
dust28–13-0.0316%25 Oct →
inferno10–13-0.067%24 Oct →
dust213–8-0.033%24 Oct →
inferno13–80.008%24 Oct →
inferno11–130.028%24 Oct →
anubis13–11-0.0312%24 Oct →
ancient10–13-0.057%23 Oct →
inferno6–13-0.077%23 Oct →
dust26–13-0.156%23 Oct →
nuke9–13-0.085%23 Oct →
dust213–16-0.009%19 Oct →
inferno13–70.019%19 Oct →
dust28–13-0.079%18 Oct →
anubis4–13-0.116%18 Oct →
cache11–13-0.0717%18 Oct →
mirage15–15-0.029%17 Oct →
dust23–13-0.0810%17 Oct →
dust24–13-0.0420%17 Oct →
anubis6–13-0.103%17 Oct →
anubis13–10-0.0312%17 Oct →
dust25–13-0.0421%17 Oct →
mirage11–130.0213%17 Oct →
dust25–100.0212%17 Oct →
dust210–13-0.015%16 Oct →
dust28–13-0.069%16 Oct →
nuke5–13-0.0727%16 Oct →
inferno13–11-0.023%16 Oct →
ancient1–13-0.0931%16 Oct →
anubis13–8-0.028%16 Oct →
inferno5–13-0.0811%15 Oct →
cache9–13-0.046%15 Oct →
dust210–13-0.103%15 Oct →
anubis13–16-0.0811%15 Oct →
cache9–13-0.025%13 Oct →
nuke6–13-0.0111%13 Oct →
cache1–13-0.067%13 Oct →
cache10–13-0.017%11 Oct →
anubis13–90.0411%11 Oct →
ancient13–3-0.0010%11 Oct →
cache10–13-0.069%10 Oct →
nuke4–13-0.089%10 Oct →
dust216–12-0.0613%10 Oct →
dust213–4-0.0118%10 Oct →
inferno3–13-0.0313%10 Oct →
cache11–13-0.0911%9 Oct →
inferno0–13-0.067%9 Oct →
inferno13–6-0.0218%9 Oct →
nuke5–13-0.100%9 Oct →
anubis4–13-0.0412%9 Oct →
inferno2–13-0.016%9 Oct →
anubis2–10-0.047%9 Oct →
cache7–13-0.078%8 Oct →
cache7–13-0.0615%4 Oct →
cache13–11-0.0613%4 Oct →
cache13–3-0.0712%4 Oct →
dust24–13-0.090%4 Oct →
cache4–13-0.0612%4 Oct →
inferno5–13-0.0512%3 Oct →
inferno5–13-0.0719%3 Oct →
dust24–13-0.1110%3 Oct →
dust27–13-0.104%3 Oct →
dust20–13-0.150%3 Oct →
mirage1–13-0.086%3 Oct →
dust22–13-0.0840%3 Oct →
dust25–13-0.0622%3 Oct →
nuke13–70.0217%3 Oct →
dust27–13-0.0413%3 Oct →
ancient7–13-0.077%3 Oct →
nuke9–13-0.0321%3 Oct →
mirage4–13-0.054%3 Oct →
mirage14–16-0.0614%2 Oct →
inferno13–16-0.0212%2 Oct →
anubis2–13-0.0522%2 Oct →
dust20–13-0.0911%2 Oct →
anubis7–13-0.0913%2 Oct →
ancient5–13-0.043%30 Sept →
mirage6–13-0.1020%29 Sept →
vertigo6–13-0.045%29 Sept →
anubis5–13-0.049%28 Sept →
ancient8–13-0.026%28 Sept →
nuke3–9-0.2211%28 Sept →
dust24–13-0.0615%27 Sept →
mirage11–13-0.0612%26 Sept →
mirage13–9-0.047%26 Sept →
dust27–13-0.0515%25 Sept →
inferno2–13-0.0813%25 Sept →
dust26–13-0.0516%25 Sept →
cache5–13-0.0621%25 Sept →
cache13–7-0.0612%25 Sept →
dust213–11-0.0318%23 Sept →
dust21–13-0.0917%23 Sept →
nuke13–10-0.1011%23 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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