Kegster___

Kegster___ — CS2 Stats

CA76561198977456756[U:1:1017191028]Steam profile ↗

1,088Tracked matches59%Win rate2021Tracked since
800Hours in CS20Hrs last 2 wks
CSDB Rating5.6 SolidPassive Rifler
Premier CS Rating12,519Blue band · top ~41.5% of ranked players (population est.)
CSDB Leaderboard#6794 of 9653 tracked
FaceitLevel 2 · 723 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKegster___FACEITLevel 2 · 723 ELOSTANDINGTop 97.9% of rankedPREMIER12,519 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning50
Utility46

0–100 skill scores via Leetify.

Recent form

COLD474013Last 10047%Win rateLWLWTWLTLL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

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

Aim6.9
Aggression1.8
Utility4.6
Positioning5.0
Opening Duels1.2
Clutch3.8

Strong CT-side opener

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 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

T-side openings. Opening success drops from 53% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim6.9
Positioning5.0
Utility4.6
Mechanics6.9
Opening Duels2.8
Win Impact8.1

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time597ms−30ms
first ⅓ avg 627ms → last ⅓ avg 597ms
Headshot accuracy14.6%+0.0%
first ⅓ avg 14.5% → last ⅓ avg 14.6%

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

0.13Best rating — nuke 13–5
131Biggest win — mirage
6Longest win streak
79In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 72% over 18infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB24121250%0.03
nukeS1813572%0.01
dust2C135838%0.00
anubisA116555%-0.00
cacheD103730%0.01
trainD103730%-0.00
infernoD92722%-0.00
vertigo330100%0.04
ancient1010%0.07
overpass1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,188Lifetime kills
1.10K/D · Top 50% of tracked players
1,274Matches
46.2%Match win rate
45.5%Headshot %
1.3%Shot accuracy
2,204MVPs
419Hours (in match)
1,244Bombs planted
280Bombs defused

Most-used weapons

Lifetime map wins

2,056nuke
2,008inferno
1,621dust2
1,048train
635vertigo
17office
17lake
14ar_shoots

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

Faceit stats

Combat

26Matches
35%Win rate
0.82Avg K/D
69.7ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno922%0.6010.0
Mirage743%1.0213.3
Anubis30%0.579.3
Ancient250%0.496.0
Dust2250%0.509.0
Train1100%1.9223.0
Overpass10%0.6813.0
Nuke1100%2.5030.0

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.

14.7%Headshot accuracy
36.5%Accuracy (enemy spotted)
37.6%Spray accuracy
81.1%Counter-strafing
9.7°Preaim
593msReaction time
17.2%T opening success
52.8%CT opening success
0.69Enemies flashed / flash
1.9%Flash assists
9.66HE damage / grenade
5.50Flashes / 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 14.7078% — below the 15% mark we flag

    Aim Training
  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 17.1516% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0413%27 Aug
nuke13–100.0419%27 Aug
mirage7–130.0315%27 Aug
anubis13–110.068%24 Aug
mirage15–150.0715%24 Aug
anubis13–11-0.0119%24 Aug
mirage9–13-0.0117%21 Aug
mirage15–150.0620%21 Aug
anubis5–13-0.0411%19 Aug
inferno5–13-0.0412%19 Aug
cache11–13-0.0111%19 Aug
cache13–70.0719%19 Aug
anubis6–130.0119%18 Aug
nuke16–120.0314%18 Aug
nuke13–8-0.0717%17 Aug
cache13–90.0614%17 Aug
dust213–40.0114%17 Aug
mirage7–13-0.0511%16 Aug
dust213–100.0220%16 Aug
mirage13–5-0.0414%16 Aug
mirage13–9-0.029%16 Aug
anubis13–8-0.0115%16 Aug
mirage13–80.0013%16 Aug
mirage13–50.0420%15 Aug
nuke2–40.0815%15 Aug
anubis13–70.086%15 Aug
nuke13–11-0.0518%15 Aug
inferno10–130.0116%15 Aug
anubis13–160.0312%15 Aug
dust212–120.0117%8 Aug
mirage13–60.0420%8 Aug
nuke12–120.0313%8 Aug
vertigo13–110.077%31 Jul
anubis13–6-0.012%31 Jul
mirage15–150.067%31 Jul
train9–130.0414%22 Jul
vertigo13–100.0420%22 Jul
ancient6–120.0717%22 Jul
cache12–120.1014%22 Jul
train4–13-0.087%15 Jul
nuke13–3-0.0210%15 Jul
anubis12–120.0219%15 Jul
inferno13–70.0519%15 Jul
anubis5–13-0.085%11 Jul
cache5–13-0.0221%11 Jul
train11–130.0418%11 Jul
mirage13–10.1223%10 Jul
dust213–10.108%10 Jul
train11–130.0014%6 Jul
cache5–13-0.0116%5 Jul
nuke13–100.0511%5 Jul
dust213–50.0221%24 Jun
mirage13–10.1011%24 Jun
overpass12–12-0.0115%24 Jun
inferno7–13-0.0213%24 Jun
cache10–13-0.0416%24 Jun
dust28–130.0013%23 Jun
inferno12–120.0410%23 Jun
vertigo13–80.0019%22 Jun
mirage13–70.0314%22 Jun
cache13–90.0418%22 Jun
train13–10.0720%22 Jun
nuke9–13-0.0313%22 Jun
mirage5–130.107%22 Jun
nuke13–10-0.0350%20 Jun
train12–12-0.0219%20 Jun
dust29–13-0.0218%18 Jun
nuke13–11-0.0010%17 Jun
inferno8–130.0022%17 Jun
train3–13-0.0116%17 Jun
nuke13–110.0013%17 Jun
dust210–13-0.034%17 Jun
inferno3–9-0.1115%11 Jun
nuke13–100.0814%10 Jun
mirage13–80.0227%10 Jun
mirage13–50.1010%10 Jun
train12–12-0.0617%10 Jun
mirage13–40.0217%10 Jun
nuke11–13-0.0516%10 Jun
dust24–130.0010%10 Jun
mirage9–130.0211%10 Jun
dust26–13-0.0321%9 Jun
nuke12–120.0020%9 Jun
dust25–13-0.0913%9 Jun
mirage13–8-0.0020%9 Jun
train11–1-0.055%9 Jun
dust211–13-0.0613%8 Jun
dust213–90.0919%7 Jun
mirage3–13-0.089%7 Jun
train13–100.0515%3 Jun
cache8–13-0.0315%3 Jun
nuke13–6-0.1017%3 Jun
inferno12–12-0.0312%3 Jun
nuke13–50.1313%3 Jun
mirage11–130.0114%3 Jun
nuke13–40.0415%3 Jun
cache7–13-0.0515%3 Jun
anubis13–11-0.0712%2 Jun
inferno13–70.0916%2 Jun
mirage11–130.0512%1 Jun

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 →