are we fishing for fish

are we fishing for fish — CS2 Stats

76561199091228028[U:1:1130962300]Steam profile ↗✓ No bans

247Tracked matches45%Win rate2024Tracked since
CSDB Rating2.6 Learning
Ladder ranks via Leetify

Performance scores

Aim29
Positioning27
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY41536Last 10041%Win rateWLWWLTLTLW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim2.9
Aggression1.5
Utility1.3
Positioning2.7
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 56% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 640ms 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

Aim2.9
Positioning2.7
Utility1.3
Mechanics4.1
Opening Duels0.0
Win Impact3.3

Composite 2.6/10 (Learning), 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-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time652ms−18ms
first ⅓ avg 670ms → last ⅓ avg 652ms
Headshot accuracy9.9%+0.6%
first ⅓ avg 9.3% → last ⅓ avg 9.9%

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.

Highlights

0.07Best rating — dust2 13–6
132Biggest win — dust2
5Longest win streak
68In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 50% over 20infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C36162044%-0.04
nukeB20101050%-0.04
mirageB2091145%-0.04
infernoD1541127%-0.07
cache21150%-0.08
anubis2020%-0.07
ancient2020%-0.04
poseidon110100%0.07
overpass1010%-0.05
train1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.0%Headshot accuracy
30.0%Accuracy (enemy spotted)
30.1%Spray accuracy
68.4%Counter-strafing
10.9°Preaim
640msReaction time
19.0%T opening success
28.7%CT opening success
0.24Enemies flashed / flash
1.9%Flash assists
5.43HE damage / grenade
1.53Flashes / 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 9.9909% — 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 0.2354 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 19.001% — below the 40% mark we flag

Spend your practice time on Inferno

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
poseidon9–20.079%26 Aug
nuke9–13-0.026%26 Aug
mirage13–8-0.0925%21 Aug
cache13–10-0.0614%21 Aug
dust21–13-0.0411%20 Aug
mirage12–12-0.0624%19 Aug
inferno1–9-0.208%18 Aug
inferno8–8-0.155%18 Aug
anubis4–13-0.0515%13 Aug
dust213–3-0.035%13 Aug
dust210–6-0.0323%13 Aug
inferno3–9-0.127%11 Aug
inferno3–9-0.1615%11 Aug
nuke2–9-0.240%10 Aug
nuke11–13-0.034%8 Aug
dust29–13-0.0617%5 Aug
nuke16–13-0.037%5 Aug
dust213–6-0.044%5 Aug
nuke2–13-0.110%12 Jul
dust213–11-0.067%12 Jul
cache1–13-0.1115%12 Jul
nuke13–8-0.115%24 Mar
dust27–13-0.036%2 Mar
nuke9–13-0.025%22 Feb
inferno13–10-0.023%22 Feb
dust213–8-0.0311%22 Feb
dust213–10-0.0610%22 Feb
inferno5–130.029%21 Feb
dust25–130.0110%21 Feb
inferno4–13-0.089%19 Feb
inferno4–13-0.109%19 Feb
dust29–13-0.0811%18 Feb
nuke13–30.0414%18 Feb
dust28–13-0.0312%18 Feb
mirage8–13-0.107%18 Feb
inferno13–50.008%18 Feb
mirage13–110.0313%18 Feb
dust27–13-0.0217%18 Feb
dust213–60.0710%18 Feb
mirage16–130.019%17 Feb
mirage13–5-0.027%17 Feb
dust213–20.010%17 Feb
dust213–9-0.039%17 Feb
nuke11–13-0.036%17 Feb
mirage16–14-0.0213%16 Feb
mirage13–2-0.036%16 Feb
dust215–15-0.043%16 Feb
dust213–10-0.0016%16 Feb
nuke13–8-0.0514%16 Feb
nuke13–3-0.0519%16 Feb
dust29–13-0.0813%16 Feb
mirage10–13-0.045%16 Feb
nuke6–13-0.016%16 Feb
dust213–10-0.0410%16 Feb
dust214–16-0.0411%15 Feb
mirage8–130.009%13 Feb
mirage9–13-0.0717%13 Feb
dust24–13-0.049%13 Feb
nuke13–16-0.079%13 Feb
inferno13–16-0.0513%12 Feb
nuke13–20.0318%12 Feb
mirage9–13-0.096%10 Feb
mirage14–16-0.057%10 Feb
dust215–15-0.0610%10 Feb
nuke6–13-0.0014%10 Feb
anubis5–13-0.0810%10 Feb
dust213–6-0.0511%10 Feb
nuke13–20.042%10 Feb
dust213–8-0.0010%10 Feb
ancient4–13-0.070%10 Feb
dust24–13-0.120%10 Feb
mirage16–13-0.0320%9 Feb
dust211–130.027%9 Feb
nuke13–9-0.055%9 Feb
mirage13–110.016%9 Feb
nuke11–13-0.0210%9 Feb
ancient9–13-0.019%9 Feb
dust214–16-0.048%8 Feb
dust216–13-0.077%8 Feb
dust213–5-0.0117%8 Feb
mirage8–13-0.0213%8 Feb
mirage8–13-0.0310%5 Feb
mirage8–13-0.090%5 Feb
overpass10–13-0.0512%5 Feb
nuke13–11-0.0622%28 Jan
dust211–13-0.093%28 Jan
dust29–13-0.0411%28 Jan
inferno2–13-0.097%27 Jan
dust22–13-0.0919%27 Jan
mirage13–40.007%27 Jan
dust215–15-0.0811%23 Jan
nuke13–11-0.026%23 Jan
dust210–13-0.0412%13 Jan
mirage4–13-0.0410%27 May
inferno8–8-0.031%27 May
train6–13-0.0410%27 May
dust213–90.0015%27 May
inferno9–6-0.0110%24 May
inferno9–50.009%24 May
inferno4–9-0.1116%24 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →