iFleshh

iFleshh — CS2 Stats

SI76561198033374375[U:1:73108647]Steam profile ↗✓ No bans

1,768Tracked matches40%Win rate2022Tracked since
CSDB Rating4.6 DevelopingPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,768 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,000 +2,057 12 Feb – 7 May · 27 days played
22,44426,904peak 26,90412 Feb7 May
26,904Peak Premier in tracked matches
1,850Highest Faceit ELO seen on CSDB
39Days played since 2026-02-12

Faceit ELO

  • At peak — 1,850
  • Next: Level 10 at 2,001 — 151 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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CSDB.GGiFleshhPEAK ELO1,850csdb.gg/stats

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Performance scores

Aim63
Positioning54
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWWLLLWLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +4.3pp headshot accuracy · −58ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 525ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 527ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 556ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim6.3
Utility4.6
Positioning5.4
Opening Duels3.4
Clutch4.8

Strong CT-side openerLimited utility dependence

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

m0NESY

Plays most like m0NESY 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 59% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim6.3
Positioning5.4
Utility4.6
Mechanics4.5
Opening Duels3.6
Win Impact1.7

Composite 4.6/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time571ms−14ms
first ⅓ avg 585ms → last ⅓ avg 571ms
Headshot accuracy12.1%+0.3%
first ⅓ avg 11.7% → last ⅓ avg 12.1%

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

0.19Best match rating · 13–6 · ancient, 23 Mar →
26%Best headshot accuracy · 5–13 · anubis, 25 Jul →
375msFastest reaction time · 5–13 · inferno, 2 Apr →
13–1Biggest win · anubis, 5 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
11–3In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 56% over 25nukeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
anubisB3015–1550%0.00
ancientA2514–1156%0.00
infernoB158–753%-0.02
dust2B147–750%0.00
nukeC73–443%-0.02
overpass—42–250%-0.05
mirage—41–325%-0.03
cache—11–0100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

471Matches
54%Win rate
0.99Avg K/D
77.5ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis9260%1.0115.4
Ancient8555%1.0715.5
Mirage6242%0.8714.3
Inferno5151%0.9914.1
Dust24949%0.9714.2
Vertigo3468%0.9313.7
Nuke2171%0.9213.3
Train1947%0.8915.7

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.

12.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
41.7%Spray accuracy
70.2%Counter-strafing
8.7°Preaim
567msReaction time
26.4%T opening success
58.6%CT opening success
0.60Enemies flashed / flash
7.5%Flash assists
7.16HE damage / grenade
4.68Flashes / 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 11.9665% — below the 15% mark we flag

    Aim Training →
  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 26.4495% — 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.

43% 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
anubis13–8-0.0210%6 Sept →
cache16–140.0314%6 Sept →
inferno0–13-0.1017%23 Aug →
ancient10–13-0.0415%30 Jul →
anubis8–13-0.059%28 Jul →
dust213–8-0.0217%25 Jul →
nuke2–13-0.0219%25 Jul →
anubis5–13-0.0226%25 Jul →
inferno6–13-0.0111%25 Jul →
anubis13–50.0112%23 Jul →
dust213–20.056%23 Jul →
anubis13–5-0.0110%16 Jul →
anubis4–13-0.024%7 May →
ancient5–13-0.0710%7 May →
dust29–13-0.099%2 May →
inferno16–14-0.0213%29 Apr →
dust23–130.0220%29 Apr →
ancient6–130.019%29 Apr →
anubis13–60.0210%29 Apr →
ancient4–13-0.0513%27 Apr →
inferno5–13-0.057%23 Apr →
dust213–60.1213%23 Apr →
anubis13–160.0015%14 Apr →
ancient10–130.011%13 Apr →
ancient13–110.0213%13 Apr →
overpass7–13-0.0313%13 Apr →
anubis13–60.0311%13 Apr →
anubis9–130.0416%12 Apr →
ancient13–80.0615%12 Apr →
ancient13–16-0.075%6 Apr →
overpass13–10-0.067%6 Apr →
ancient8–13-0.0313%2 Apr →
ancient13–10-0.0016%2 Apr →
inferno5–13-0.020%2 Apr →
nuke16–14-0.0214%1 Apr →
ancient13–10-0.014%1 Apr →
anubis13–7-0.022%1 Apr →
nuke10–13-0.036%1 Apr →
dust29–13-0.0216%1 Apr →
nuke13–20.0112%1 Apr →
ancient13–110.0317%1 Apr →
anubis7–13-0.055%31 Mar →
anubis9–13-0.0414%31 Mar →
ancient13–70.037%29 Mar →
anubis13–110.0612%29 Mar →
nuke13–80.0213%28 Mar →
anubis13–3-0.0010%28 Mar →
ancient13–9-0.0319%28 Mar →
inferno9–30.0910%26 Mar →
inferno13–11-0.0116%26 Mar →
anubis13–7-0.028%26 Mar →
inferno7–13-0.0615%24 Mar →
inferno13–8-0.014%23 Mar →
inferno13–10-0.0312%23 Mar →
ancient13–60.1916%23 Mar →
ancient13–7-0.076%14 Mar →
dust213–10-0.0219%13 Mar →
inferno11–13-0.057%8 Mar →
dust213–110.0613%6 Mar →
inferno16–13-0.0415%6 Mar →
dust24–13-0.0117%6 Mar →
nuke15–15-0.0012%6 Mar →
ancient16–130.0411%6 Mar →
mirage6–13-0.015%6 Mar →
mirage14–16-0.0014%6 Mar →
dust213–9-0.052%6 Mar →
overpass8–13-0.1011%6 Mar →
ancient13–70.059%6 Mar →
ancient12–160.0413%6 Mar →
anubis13–160.018%5 Mar →
inferno8–130.0616%5 Mar →
anubis13–10.0113%5 Mar →
mirage16–140.0012%1 Mar →
anubis13–100.0912%28 Feb →
ancient5–13-0.099%28 Feb →
anubis6–13-0.0216%28 Feb →
dust213–10.0823%28 Feb →
anubis7–13-0.069%27 Feb →
ancient11–13-0.0213%27 Feb →
dust25–13-0.0710%24 Feb →
anubis13–10-0.034%24 Feb →
ancient13–110.096%24 Feb →
anubis9–13-0.0319%23 Feb →
ancient13–60.0217%23 Feb →
inferno13–100.0417%23 Feb →
nuke9–13-0.0815%22 Feb →
overpass13–7-0.0312%18 Feb →
anubis10–13-0.045%18 Feb →
anubis13–110.0312%16 Feb →
dust26–13-0.0513%16 Feb →
mirage9–13-0.109%16 Feb →
ancient10–13-0.0616%15 Feb →
anubis0–13-0.0210%15 Feb →
anubis13–2-0.038%15 Feb →
inferno13–10-0.058%15 Feb →
anubis12–160.046%12 Feb →
anubis8–130.048%12 Feb →
anubis10–30.155%12 Feb →
dust25–130.0523%12 Feb →
ancient13–7-0.0313%12 Feb →

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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