smellslikeFishi

smellslikeFishi — CS2 Stats

76561199012071724[U:1:1051805996]Steam profile ↗✓ No bans

1,536Tracked matches41%Win rate2020Tracked since
CSDB Rating5.4 DevelopingAll-Rounder
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,647 +159 19 Dec – 19 Jun · 5 days played
9,99911,647peak 11,64719 Dec19 Jun
11,766Peak Premier in tracked matches
31Days played since 2025-07-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGsmellslikeFishiFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning59
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWLLLWLLWWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.1pp headshot accuracy · +16ms reaction

Win rate down 20pp 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 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 652ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 653ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 645ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility5.5
Positioning5.9
Opening Duels5.2

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

device

Plays most like device 86% 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

Reaction time. 651ms 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

Aim6.4
Positioning5.9
Utility5.5
Mechanics5.8
Opening Duels4.2
Win Impact2.1

Composite 5.4/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time663ms−16ms
first ⅓ avg 679ms → last ⅓ avg 663ms
Headshot accuracy21.7%+2.3%
first ⅓ avg 19.4% → last ⅓ avg 21.7%

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

0.14Best match rating · 13–7 · vertigo, 17 Jul →
50%Best headshot accuracy · 5–13 · inferno, 7 Nov →
422msFastest reaction time · 9–13 · inferno, 23 Aug →
13–1Biggest win · nuke, 24 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 80% over 5dust2Weakest map · 35% over 26
MapGradePlayedRecordWin rateAvg rating
dust2C269–1735%-0.01
infernoC218–1338%0.00
nukeB126–650%0.00
mirageC104–640%-0.02
overpassS96–367%0.02
anubisS54–180%0.08
ancientC52–340%0.02
vertigo—42–250%0.05
train—21–150%-0.01
agency—21–150%-0.03
palacio—10–10%-0.02
golden—10–10%-0.07
grail—10–10%-0.00
italy—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

280Matches
51%Win rate
1.16Avg K/D
—ADR
44%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

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.

21.5%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.1%Spray accuracy
76.3%Counter-strafing
8.9°Preaim
651msReaction time
40.2%T opening success
53.4%CT opening success
0.49Enemies flashed / flash
11.3%Flash assists
11.17HE damage / grenade
5.05Flashes / 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 0.4896 — below the 0.5 mark we flag

    Grenade Lineups →
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.

35% win rate across 26 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
vertigo13–70.1417%17 Jul →
inferno7–130.0424%17 Jul →
dust24–13-0.0822%10 Jul →
dust27–130.0133%10 Jul →
inferno13–110.0329%10 Jul →
dust29–130.0435%10 Jul →
inferno5–13-0.0121%19 Jun →
overpass13–100.0020%19 Jun →
dust213–90.0126%19 Jun →
inferno10–13-0.0115%19 Jun →
dust210–130.0123%19 Jun →
anubis13–110.1128%16 Jun →
nuke13–9-0.0210%16 Jun →
anubis13–80.1222%15 Jun →
anubis15–150.0310%12 Jun →
nuke13–10-0.0532%12 Jun →
ancient13–30.029%12 Jun →
dust25–130.0025%12 Jun →
ancient8–130.0322%12 Jun →
dust213–70.0331%12 Jun →
nuke6–13-0.0215%12 Jun →
nuke11–13-0.0318%5 Jun →
inferno16–140.0521%5 Jun →
mirage8–130.0416%29 May →
dust210–130.0221%29 May →
inferno11–13-0.0314%29 May →
overpass9–13-0.0219%22 May →
inferno16–140.1021%22 May →
dust211–13-0.0120%22 May →
dust23–13-0.0627%24 Apr →
mirage7–13-0.0413%24 Apr →
inferno13–8-0.0547%24 Apr →
inferno8–20.017%24 Apr →
inferno1–13-0.0810%20 Feb →
anubis13–70.1320%20 Feb →
nuke9–130.0323%20 Feb →
dust21–13-0.0823%14 Feb →
dust213–70.1129%13 Feb →
overpass13–100.0615%13 Feb →
vertigo11–130.0614%9 Jan →
inferno12–120.0010%9 Jan →
dust210–13-0.0930%9 Jan →
mirage1–13-0.0513%19 Dec →
dust213–8-0.0426%19 Dec →
ancient13–90.0725%19 Dec →
overpass13–5-0.0017%19 Dec →
inferno6–13-0.0519%19 Dec →
nuke13–30.1021%19 Dec →
inferno8–130.0323%19 Dec →
vertigo13–11-0.0422%3 Dec →
dust213–7-0.0227%21 Nov →
nuke6–130.0121%21 Nov →
overpass11–130.0212%21 Nov →
mirage2–13-0.1210%21 Nov →
palacio11–13-0.0212%21 Nov →
golden1–13-0.0724%21 Nov →
mirage13–50.0223%7 Nov →
ancient4–13-0.0412%7 Nov →
dust28–130.0621%7 Nov →
inferno5–13-0.0450%7 Nov →
vertigo7–130.0221%7 Nov →
inferno13–70.0317%7 Nov →
anubis13–3-0.0112%7 Nov →
nuke8–13-0.0317%7 Nov →
mirage13–9-0.0416%30 Oct →
train13–110.0222%30 Oct →
dust213–10-0.0611%25 Sept →
mirage13–60.0016%12 Sept →
grail12–12-0.0014%12 Sept →
train3–13-0.0316%12 Sept →
agency13–3-0.0116%12 Sept →
dust28–130.0021%12 Sept →
dust26–130.0325%3 Sept →
inferno1–130.0424%3 Sept →
mirage13–30.0633%29 Aug →
inferno8–13-0.0126%29 Aug →
dust210–13-0.0216%29 Aug →
nuke13–10.0926%24 Aug →
mirage7–13-0.059%24 Aug →
dust23–13-0.0923%24 Aug →
agency5–13-0.0423%24 Aug →
dust213–6-0.068%23 Aug →
italy13–60.0413%23 Aug →
ancient3–130.0112%23 Aug →
inferno9–13-0.0324%23 Aug →
overpass13–160.0220%21 Aug →
inferno13–160.0715%19 Aug →
overpass13–110.0119%19 Aug →
inferno13–40.0120%18 Aug →
dust216–140.0314%18 Aug →
nuke10–13-0.0310%17 Aug →
nuke13–3-0.0128%17 Aug →
dust210–13-0.0610%17 Aug →
mirage12–12-0.0321%17 Aug →
overpass13–30.0719%16 Aug →
overpass16–13-0.0213%16 Aug →
dust210–130.0022%16 Aug →
inferno13–8-0.0023%16 Aug →
nuke16–130.0229%16 Aug →
dust213–90.1132%30 Jul →

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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