Keepern

Keepern — CS2 Stats

SE76561198028984419[U:1:68718691]Steam profile ↗

746Tracked matches54%Win rate2021Tracked since
CSDB Rating5.7 Solid
Premier CS Rating19,554Purple band · top ~10.3% of ranked players (population est.)
CSDB Leaderboard#21285 of 51195 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGKeepernPREMIER19,554 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning58
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateWWWLWLLWTW

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

Player DNA

Aim5.8
Aggression10.0
Utility6.6
Positioning5.8
Opening Duels4.3
Clutch2.6

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

device

Plays most like device 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 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

Aim5.8
Positioning5.8
Utility6.6
Mechanics5.4
Opening Duels4.3
Win Impact6.2

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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time602ms−39ms
first ⅓ avg 641ms → last ⅓ avg 602ms
Headshot accuracy18.4%−2.2%
first ⅓ avg 20.5% → last ⅓ avg 18.4%

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

0.18Best rating — inferno 9–4
133Biggest win — cache
6Longest win streak
W3Current streak
117In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 64% over 11infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA25141156%-0.01
cacheD1551033%-0.00
nukeB137654%0.01
anubisB137654%-0.00
dust2A117464%0.00
infernoD72529%0.03
ancientD62433%0.00
vertigo32167%-0.02
fachwerk220100%0.01
train2020%-0.06
overpass220100%0.00
debris110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

202Matches
54%Win rate
1.02Avg K/D
82.8ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Cache450%1.0217.3
Anubis333%1.2218.0
Mirage10%0.7311.0
Overpass1100%1.5012.0
Dust21100%1.1317.0
Nuke1100%1.0715.0

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.

18.2%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.2%Spray accuracy
74.5%Counter-strafing
9.6°Preaim
593msReaction time
43.5%T opening success
51.1%CT opening success
0.64Enemies flashed / flash
8.8%Flash assists
10.32HE damage / grenade
9.90Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–9-0.0326%30 Aug
nuke13–40.0110%30 Aug
fachwerk13–7-0.0212%30 Aug
dust210–13-0.0317%3 Aug
mirage13–90.0515%2 Aug
mirage4–3-0.013%2 Aug
anubis7–13-0.0316%30 Jul
mirage13–80.0715%30 Jul
cache15–150.0028%30 Jul
debris9–70.0224%30 Jul
cache16–130.0617%29 Jul
mirage13–10-0.0112%29 Jul
dust213–10-0.0714%29 Jul
cache13–30.0121%29 Jul
mirage5–13-0.014%28 Jul
inferno8–130.0627%28 Jul
dust213–70.0930%28 Jul
cache12–12-0.0521%28 Jul
fachwerk13–80.0413%28 Jul
vertigo4–13-0.0719%28 Jul
mirage13–6-0.007%21 Jul
cache11–13-0.0419%20 Jul
dust29–130.0914%20 Jul
cache6–13-0.0816%20 Jul
mirage16–14-0.0223%20 Jul
mirage7–13-0.0318%18 Jul
nuke3–13-0.0529%18 Jul
cache13–110.0320%18 Jul
mirage7–13-0.0228%18 Jul
inferno11–130.0021%18 Jul
inferno13–10-0.0414%18 Jul
cache12–160.0431%17 Jul
nuke8–130.0121%10 Jul
mirage6–13-0.077%10 Jul
cache6–13-0.0724%10 Jul
anubis13–90.018%10 Jul
inferno9–40.1815%10 Jul
dust213–11-0.0614%10 Jul
vertigo13–50.0312%8 Jul
anubis9–130.016%7 Jul
dust213–11-0.0412%6 Jul
nuke13–6-0.0017%6 Jul
anubis6–130.0118%24 Jun
anubis13–6-0.0428%24 Jun
mirage13–100.0114%23 Jun
dust213–70.0324%23 Jun
anubis1–13-0.0021%23 Jun
nuke7–130.0420%23 Jun
nuke9–70.1217%7 Jun
nuke2–13-0.0524%7 Jun
train5–13-0.0323%7 Jun
mirage13–9-0.0321%4 Jun
cache13–110.0811%4 Jun
cache11–130.0027%1 Jun
train8–13-0.0921%13 May
cache9–130.0225%13 May
dust29–13-0.0513%10 May
mirage13–9-0.0322%10 May
cache3–13-0.0331%7 May
cache13–8-0.0226%7 May
cache12–12-0.0126%2 May
mirage3–13-0.0616%2 May
nuke13–70.0521%27 Apr
ancient6–130.0214%20 Apr
mirage16–130.0016%20 Apr
mirage13–30.0224%20 Apr
dust213–110.0131%18 Apr
mirage11–130.0525%18 Apr
nuke13–110.0623%17 Apr
ancient10–13-0.0219%17 Apr
mirage7–13-0.0024%17 Apr
dust213–160.0127%16 Apr
mirage1–13-0.0419%16 Apr
anubis16–13-0.0322%16 Apr
nuke13–11-0.0327%14 Apr
ancient8–13-0.0219%14 Apr
overpass13–9-0.0223%13 Apr
anubis13–10-0.0218%13 Apr
mirage13–6-0.0227%13 Apr
dust213–80.0425%13 Apr
mirage16–14-0.0415%12 Apr
anubis13–70.0423%12 Apr
ancient14–16-0.0516%8 Apr
inferno5–9-0.107%8 Apr
nuke8–13-0.0415%6 Apr
mirage13–3-0.0015%6 Apr
inferno6–90.1117%2 Apr
ancient13–7-0.0514%31 Mar
nuke16–120.0121%31 Mar
anubis7–13-0.0732%31 Mar
anubis13–70.0232%30 Mar
inferno9–13-0.0224%29 Mar
mirage4–13-0.0130%29 Mar
overpass13–60.038%26 Mar
mirage8–13-0.0212%26 Mar
ancient13–30.1332%26 Mar
anubis13–70.0511%24 Mar
nuke11–130.0314%24 Mar
anubis8–13-0.0018%24 Mar
mirage13–50.0124%24 Mar

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 →