Gotte2508 — CS2 Stats

76561198024607326[U:1:64341598]

805Tracked matches57%Win rate2022Tracked since
3,658Hours in CS29Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating19,908Purple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#18100 of 45146 tracked
FaceitLevel 9 · 1,822 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate40.5%48.5%51.9%11.5% short
Shot accuracy14.3%13.3%13.7%above
Kill/death ratio1.221.071.08above
Match win rate41.5%47.0%48.7%7.2% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGotte2508FACEITLevel 9 · 1,822 ELOSTANDINGTop 20.7% of rankedPREMIER19,908 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning47
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY55441Last 10055%Win rateLWWWWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression5.7
Utility5.2
Positioning4.7
Opening Duels1.5
Clutch3.0

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.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 51% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.8
Positioning4.7
Utility5.2
Mechanics6.1
Opening Duels2.7
Win Impact7.2

Composite 5.7/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time557ms−33ms
first ⅓ avg 591ms → last ⅓ avg 557ms
Headshot accuracy15.3%−5.4%
first ⅓ avg 20.7% → last ⅓ avg 15.3%

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

0.14Best rating — train 13–3
130Biggest win — nuke
5Longest win streak
99In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 68% over 22dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA27161159%-0.01
nukeS2215768%-0.00
anubisA116555%-0.00
dust2D103730%0.00
cacheA106460%-0.01
ancientA95456%-0.02
overpassD62433%-0.04
train32167%0.02
mirage2020%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,096Lifetime kills
1.22K/D · Top 25% of Level 9 players
6,160Matches
41.5%Match win rate
40.5%Headshot %
14.3%Shot accuracy · Top 50% of Level 9 players
8,463MVPs
2,054Hours (in match)
3,881Bombs planted
1,044Bombs defused

Most-used weapons

AK-4725,742
AWP23,792
SSG 083,307
P902,064
UMP-451,964

Lifetime map wins

16,233dust2
4,692inferno
3,398nuke
3,187vertigo
1,085train
161office
128cbble
109lake

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

Faceit stats

Combat

219Matches
57%Win rate
0.96Avg K/D
71.3ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
11%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno6445%0.9013.7
Nuke4963%0.9614.3
Overpass3474%1.1514.7
Dust22055%0.9411.9
Train2070%1.1015.1
Ancient2030%0.7112.3
Anubis580%1.1416.4
Cache333%0.7811.3

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.

15.1%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.8%Spray accuracy
77.6%Counter-strafing
9.7°Preaim
544msReaction time
21.0%T opening success
51.3%CT opening success
0.49Enemies flashed / flash
5.4%Flash assists
12.91HE damage / grenade
3.01Flashes / 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 0.4925 — below the 0.5 mark we flag

    Grenade Lineups
  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 20.9876% — below the 40% mark we flag

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.

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

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0112%25 Aug
inferno16–14-0.0417%24 Aug
anubis19–16-0.0217%24 Aug
inferno13–70.0414%24 Aug
dust213–60.0815%18 Aug
nuke13–110.0017%18 Aug
mirage6–13-0.004%18 Aug
dust29–13-0.0211%17 Aug
nuke5–13-0.0715%17 Aug
inferno13–100.0021%17 Aug
inferno5–13-0.068%17 Aug
nuke13–20.058%15 Aug
dust27–13-0.0421%15 Aug
inferno5–13-0.0518%15 Aug
anubis14–16-0.0113%15 Aug
cache10–13-0.0811%15 Aug
nuke13–60.0320%11 Aug
anubis13–50.0618%11 Aug
nuke13–10-0.0621%11 Aug
anubis16–12-0.0016%9 Aug
inferno6–130.0318%9 Aug
inferno13–7-0.0014%9 Aug
nuke13–10-0.0311%5 Aug
nuke13–16-0.0517%5 Aug
anubis13–50.0315%5 Aug
nuke7–130.0119%4 Aug
anubis11–13-0.0417%3 Aug
inferno13–20.0121%3 Aug
anubis16–130.028%3 Aug
dust213–20.0413%3 Aug
nuke13–11-0.0017%2 Aug
ancient6–13-0.1010%2 Aug
ancient13–8-0.0224%2 Aug
inferno11–13-0.0316%31 Jul
dust210–130.0513%31 Jul
train6–13-0.0813%28 Jul
cache16–12-0.0124%27 Jul
ancient9–130.0426%27 Jul
nuke13–60.0113%26 Jul
inferno8–13-0.0618%26 Jul
anubis6–13-0.0213%25 Jul
inferno13–8-0.0225%25 Jul
anubis9–13-0.0715%25 Jul
overpass8–13-0.0319%25 Jul
nuke13–90.0516%24 Jul
anubis13–90.0429%24 Jul
dust29–130.0120%18 Jul
nuke13–11-0.0217%18 Jul
dust214–16-0.0217%18 Jul
ancient13–9-0.0425%17 Jul
ancient13–10-0.0421%17 Jul
inferno13–160.0319%14 Jul
inferno10–13-0.0413%14 Jul
inferno13–9-0.0911%7 Jul
nuke13–100.028%7 Jul
inferno11–13-0.0215%4 Jul
dust27–13-0.0620%4 Jul
inferno13–9-0.0019%4 Jul
anubis14–160.0119%29 Jun
ancient13–16-0.0821%29 Jun
train13–30.1429%28 Jun
inferno13–80.0316%28 Jun
train13–80.0025%28 Jun
cache13–3-0.0413%27 Jun
inferno13–70.0322%27 Jun
nuke4–90.0114%27 Jun
inferno2–9-0.1843%27 Jun
dust213–40.0218%26 Jun
cache13–40.0333%26 Jun
nuke11–130.0418%26 Jun
inferno13–9-0.0316%26 Jun
nuke13–110.0219%23 Jun
dust29–13-0.0221%23 Jun
inferno13–30.0416%23 Jun
ancient12–120.0727%16 Jun
cache6–13-0.0519%16 Jun
cache13–110.0319%15 Jun
cache13–80.0527%15 Jun
overpass7–13-0.0415%12 Jun
mirage2–13-0.0239%12 Jun
inferno13–11-0.0141%12 Jun
ancient13–40.0215%12 Jun
nuke13–8-0.0624%2 Jun
nuke9–13-0.0522%2 Jun
inferno8–13-0.0318%1 Jun
ancient13–11-0.0619%1 Jun
inferno13–11-0.0314%24 May
nuke13–00.0213%24 May
inferno3–13-0.0225%24 May
cache13–10-0.0629%24 May
overpass8–13-0.0516%16 May
inferno19–150.0514%16 May
overpass13–8-0.0217%11 May
overpass13–6-0.0014%11 May
overpass8–13-0.0720%11 May
cache11–130.0116%10 May
inferno13–60.0622%1 May
nuke13–10-0.0219%1 May
cache11–13-0.0120%1 May
nuke13–70.0517%27 Apr

Match data via Leetify.

Recent teammates

Milestones

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