talk2meGoose — CS2 Stats

76561198803773011[U:1:843507283]

1,570Tracked matches42%Win rate2020Tracked since
2,269Hours in CS20Hrs last 2 wks
CSDB Rating6.7 SolidAggressive Rifler
Premier CS Rating16,256Purple band · top ~23.4% of ranked players (population est.)
CSDB Leaderboard#11686 of 19378 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate35.0%48.1%13.1% short
Shot accuracy9.4%12.9%3.5% short
Kill/death ratio1.141.08above
Match win rate44.1%46.5%2.4% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtalk2meGoosePREMIER16,256 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning60
Utility67

0–100 skill scores via Leetify.

Recent form

COLD45496Last 10045%Win rateTLWLWTLWTT

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.2
Aggression8.9
Utility6.7
Positioning6.0
Opening Duels4.4
Clutch4.2

Excellent counter-strafing

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

jL

Plays most like jL 95% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 643ms 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

Aim8.2
Positioning6.0
Utility6.7
Mechanics8.9
Opening Duels4.4
Win Impact2.2

Composite 6.7/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time650ms−4ms
first ⅓ avg 654ms → last ⅓ avg 650ms
Headshot accuracy15.2%+0.3%
first ⅓ avg 14.9% → last ⅓ avg 15.2%

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

0.20Best rating — dust2 13–5
131Biggest win — anubis
5Longest win streak
72In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B20101050%0.03
cacheB178947%0.02
mirageB136746%-0.01
ancientD134931%0.00
nukeB115645%-0.01
infernoD103730%0.01
anubisA106460%0.01
vertigo32167%-0.02
train2020%-0.02
overpass110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,886Lifetime kills
1.14K/D · Top 50% of tracked players
3,559Matches
44.1%Match win rate
35.0%Headshot %
9.4%Shot accuracy
7,801MVPs
1,789Hours (in match)
3,022Bombs planted
867Bombs defused

Most-used weapons

AK-4717,162
AWP8,920
SSG 081,575
MP71,203
FAMAS1,089

Lifetime map wins

6,668dust2
4,791inferno
3,038nuke
1,185vertigo
1,097train
440lake
205safehouse
130bank

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

Faceit stats

Combat

170Matches
50%Win rate
1.07Avg K/D
82.2ADR
35%Headshot %

Clutches & streaks

41%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3658%1.0917.0
Dust23238%1.1115.3
Mirage3142%1.0614.7
Anubis2167%1.0815.1
Ancient1560%1.0116.8
Nuke1338%1.3216.5
Train540%1.3017.2
Vertigo30%0.6913.3

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.

14.0%Headshot accuracy
45.2%Accuracy (enemy spotted)
43.2%Spray accuracy
90.1%Counter-strafing
11.0°Preaim
643msReaction time
40.4%T opening success
55.1%CT opening success
0.58Enemies flashed / flash
10.3%Flash assists
7.31HE damage / grenade
13.73Flashes / 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 13.9917% — below the 15% mark we flag

    Aim Training
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–120.007%28 Aug
dust22–5-0.1225%27 Aug
overpass13–80.0110%26 Aug
dust25–130.0313%26 Aug
mirage13–30.1222%26 Aug
cache12–120.0414%25 Aug
dust28–130.0520%23 Aug
dust29–20.0215%22 Aug
dust212–12-0.019%22 Aug
cache12–120.0615%22 Aug
mirage12–120.0321%22 Aug
cache13–110.019%21 Aug
ancient8–130.0614%20 Aug
inferno8–13-0.0016%19 Aug
dust213–50.0513%19 Aug
nuke12–120.0425%18 Aug
ancient5–13-0.008%18 Aug
inferno6–130.0217%18 Aug
mirage7–13-0.0217%17 Aug
dust213–110.0419%17 Aug
ancient13–100.039%17 Aug
nuke4–13-0.009%16 Aug
anubis13–40.0216%16 Aug
dust29–130.014%16 Aug
mirage13–40.0219%16 Aug
inferno9–130.0218%15 Aug
dust210–130.0115%15 Aug
nuke3–13-0.070%15 Aug
nuke11–13-0.048%14 Aug
anubis13–90.0120%14 Aug
dust213–110.0811%14 Aug
nuke1–8-0.1133%13 Aug
nuke13–10-0.0430%12 Aug
dust213–70.0420%12 Aug
ancient8–130.0514%12 Aug
cache13–7-0.014%12 Aug
anubis13–110.0113%11 Aug
inferno10–60.0818%11 Aug
ancient4–13-0.0516%11 Aug
inferno1–8-0.040%11 Aug
vertigo4–12-0.0920%11 Aug
train6–13-0.0221%11 Aug
nuke13–60.0723%9 Aug
cache10–130.0220%9 Aug
mirage7–13-0.048%9 Aug
mirage9–13-0.035%8 Aug
cache13–110.0718%8 Aug
vertigo13–90.0116%8 Aug
mirage13–8-0.0614%8 Aug
dust213–90.0622%8 Aug
nuke13–80.0318%8 Aug
inferno7–13-0.0021%8 Aug
train4–13-0.0114%8 Aug
mirage10–13-0.0210%7 Aug
ancient3–13-0.0719%7 Aug
dust26–130.018%6 Aug
cache9–130.0225%6 Aug
inferno13–100.0711%5 Aug
dust213–50.0417%5 Aug
cache7–130.0115%3 Aug
anubis7–13-0.0617%3 Aug
vertigo13–100.0114%3 Aug
anubis5–130.0717%2 Aug
inferno13–40.0011%1 Aug
cache13–100.0413%28 Jul
mirage2–13-0.087%28 Jul
cache8–13-0.0417%25 Jul
ancient6–130.0215%24 Jul
ancient13–80.0414%24 Jul
mirage16–12-0.0214%23 Jul
nuke13–70.0526%23 Jul
cache9–130.0010%22 Jul
nuke6–13-0.0510%21 Jul
ancient13–160.019%21 Jul
dust213–60.0317%21 Jul
cache11–13-0.0016%21 Jul
dust28–13-0.0420%20 Jul
inferno3–13-0.0113%20 Jul
cache13–110.0412%20 Jul
anubis13–10.0810%20 Jul
inferno3–13-0.0415%18 Jul
anubis13–8-0.029%16 Jul
ancient13–60.015%16 Jul
anubis13–80.007%15 Jul
dust29–13-0.0118%15 Jul
cache13–80.0511%14 Jul
anubis8–13-0.0110%13 Jul
ancient6–13-0.0211%13 Jul
mirage13–4-0.0320%13 Jul
dust213–90.0732%13 Jul
ancient13–8-0.048%13 Jul
cache13–30.0930%13 Jul
dust213–50.2019%12 Jul
anubis10–13-0.0318%12 Jul
nuke13–11-0.0113%11 Jul
mirage13–40.0217%11 Jul
cache13–90.0313%11 Jul
ancient4–13-0.0111%11 Jul
dust24–130.0623%10 Jul
cache6–13-0.0316%10 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 →