Gooses

Gooses — CS2 Stats

US76561198136739919[U:1:176474191]Steam profile ↗✓ No bans

347Tracked matches33%Win rate2023Tracked since
CSDB Rating2.7 Learning
Premier CS Rating1,907Grey band · top ~91.9% of ranked players (population est.)
CSDB Leaderboard#21673 of 27631 tracked
Ladder ranks via Leetify

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CSDB.GGGoosesPREMIER1,907 · Grey bandcsdb.gg/stats

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Performance scores

Aim32
Positioning41
Utility31

0–100 skill scores via Leetify.

Recent form

COLD36568Last 10036%Win rateLLWLLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim3.2
Aggression3.1
Utility3.1
Positioning4.1
Opening Duels0.5

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 71% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 667ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.2
Positioning4.1
Utility3.1
Mechanics4.4
Opening Duels0.9
Win Impact0.0

Composite 2.7/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time666ms−80ms
first ⅓ avg 746ms → last ⅓ avg 666ms
Headshot accuracy12.1%+0.8%
first ⅓ avg 11.3% → 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.

Highlights

0.09Best rating — nuke 13–8
130Biggest win — mirage
3Longest win streak
L2Current streak
1010In matches decided by ≤2 rounds
7Overtime games

Map breakdown

vertigoBest map · 67% over 6ancientWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2112957%-0.02
nukeD2061430%-0.01
mirageD1541127%-0.04
cacheB105550%-0.04
ancientD7070%-0.00
vertigoS64267%-0.00
infernoD61517%-0.05
anubisA53260%-0.03
train31233%-0.02
overpass2020%-0.06
warden2020%-0.04
shelter1010%-0.12
fachwerk1010%-0.04
stronghold1010%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Ancient 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.

11.4%Headshot accuracy
32.8%Accuracy (enemy spotted)
33.7%Spray accuracy
69.7%Counter-strafing
12.4°Preaim
667msReaction time
26.2%T opening success
37.5%CT opening success
0.52Enemies flashed / flash
0.0%Flash assists
9.82HE damage / grenade
2.41Flashes / 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 12.4324° — 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 11.3806% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.4138 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–130.0414%28 Aug
vertigo7–13-0.035%28 Aug
train13–11-0.0211%28 Aug
inferno7–13-0.0510%27 Aug
nuke6–13-0.0416%27 Aug
nuke9–13-0.0414%25 Aug
mirage5–13-0.089%25 Aug
nuke13–5-0.039%25 Aug
dust216–14-0.028%25 Aug
nuke5–13-0.024%21 Aug
cache4–00.0422%21 Aug
dust25–130.0115%20 Aug
nuke13–6-0.014%20 Aug
nuke3–13-0.0719%20 Aug
dust213–100.0212%20 Aug
mirage5–13-0.079%20 Aug
train11–13-0.0111%16 Aug
vertigo6–13-0.0312%16 Aug
ancient1–13-0.039%16 Aug
inferno1–13-0.115%16 Aug
cache13–8-0.1010%13 Aug
nuke6–13-0.0113%13 Aug
mirage9–13-0.0815%13 Aug
nuke4–130.028%12 Aug
anubis13–7-0.0511%12 Aug
ancient10–13-0.0413%6 Aug
cache11–13-0.0415%5 Aug
shelter1–9-0.1212%5 Aug
inferno6–9-0.044%5 Aug
vertigo13–100.0612%5 Aug
dust213–8-0.0322%29 Jul
mirage13–00.0440%29 Jul
nuke10–13-0.038%29 Jul
dust213–110.0119%29 Jul
cache3–13-0.0316%29 Jul
nuke13–16-0.047%23 Jul
dust213–10-0.026%23 Jul
anubis8–13-0.0718%23 Jul
anubis13–50.069%23 Jul
nuke6–13-0.0915%22 Jul
cache13–7-0.023%22 Jul
nuke7–13-0.1011%22 Jul
dust213–50.0114%22 Jul
fachwerk5–13-0.0414%11 Jul
mirage11–13-0.0311%10 Jul
cache13–9-0.0610%8 Jul
dust214–16-0.048%30 Jun
nuke9–40.0915%30 Jun
nuke0–2-0.0125%30 Jun
cache10–130.009%24 Jun
nuke11–130.0210%24 Jun
mirage15–12-0.0313%24 Jun
inferno16–14-0.0319%23 Jun
ancient11–13-0.0212%23 Jun
dust212–120.0019%23 Jun
nuke13–20.0211%10 Jun
dust211–13-0.0511%9 Jun
dust213–110.0115%5 Jun
overpass3–13-0.003%21 May
dust213–6-0.0415%21 May
mirage13–50.0014%21 May
cache11–13-0.065%15 May
dust213–11-0.0216%15 May
cache6–13-0.065%1 May
cache13–11-0.0617%29 Apr
dust213–7-0.0410%29 Apr
train4–13-0.0519%25 Apr
nuke13–80.0911%25 Apr
vertigo13–50.0113%25 Apr
mirage12–12-0.0111%22 Apr
dust212–12-0.0314%18 Apr
ancient8–13-0.030%18 Apr
dust213–8-0.0219%18 Apr
dust210–130.0012%1 Apr
nuke11–13-0.0111%1 Apr
anubis13–7-0.0316%1 Apr
mirage13–11-0.0112%13 Mar
dust212–12-0.0414%12 Mar
vertigo13–11-0.0515%28 Feb
warden7–13-0.048%27 Feb
anubis5–13-0.0416%27 Feb
mirage7–13-0.0116%23 Feb
mirage2–13-0.1013%19 Feb
dust24–13-0.0916%19 Feb
stronghold0–13-0.096%12 Feb
warden12–12-0.0413%12 Feb
nuke2–13-0.026%29 Jan
mirage15–15-0.0410%14 Jan
mirage7–13-0.0716%14 Jan
mirage1–13-0.0412%13 Jan
ancient7–130.0810%13 Jan
inferno12–120.015%13 Jan
nuke3–20.010%9 Jan
ancient7–13-0.0210%9 Jan
vertigo13–50.033%9 Jan
inferno12–16-0.0811%7 Jan
overpass8–13-0.1117%7 Jan
dust213–4-0.0712%7 Jan
mirage9–13-0.0511%7 Jan
ancient12–120.0515%2 Jan

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 →