CriKKen^^ — CS2 Stats

76561198196978261[U:1:236712533]

904Tracked matches63%Win rate2025Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating8,630Light Blue band · top ~61.4% of ranked players (population est.)
CSDB Leaderboard#20355 of 27287 tracked
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGCriKKen^^PREMIER8,630 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning59
Utility38

0–100 skill scores via Leetify.

Recent form

HOT54442Last 10054%Win rateWWWWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim6.2
Aggression8.7
Utility3.8
Positioning5.9
Opening Duels5.6

Limited 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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, 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. 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

Aim6.2
Positioning5.9
Utility3.8
Mechanics5.9
Opening Duels5.6
Win Impact9.4

Composite 5.4/10 (Developing), 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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time648ms−12ms
first ⅓ avg 660ms → last ⅓ avg 648ms
Headshot accuracy18.3%+0.3%
first ⅓ avg 18.1% → last ⅓ avg 18.3%

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

0.20Best rating — vertigo 9–6
131Biggest win — inferno
13Longest win streak
W13Current streak
84In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 80% over 20dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA2213959%0.04
infernoS2016480%0.02
ancientC135838%0.02
mirageA116555%-0.00
anubisA116555%0.02
eldoradoA53260%0.05
dust2D51420%0.02
vertigo32167%0.07
overpass3030%0.01
debris2020%-0.03
nuke2020%-0.07
poseidon110100%0.15
tuscan_d110100%-0.02
cbble_d1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 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.

19.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
35.6%Spray accuracy
76.6%Counter-strafing
10.6°Preaim
643msReaction time
46.2%T opening success
58.4%CT opening success
0.51Enemies flashed / flash
4.3%Flash assists
7.71HE damage / grenade
3.25Flashes / 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

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

    Flashes per match 3.2549 — below the 4 mark we flag

    Grenade Lineups
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–70.0113%27 Aug
inferno13–10.1317%26 Aug
ancient13–60.0610%26 Aug
cache13–20.1223%25 Aug
cache10–10.0820%25 Aug
mirage13–70.0228%25 Aug
inferno13–3-0.0216%25 Aug
eldorado9–70.0826%24 Aug
cache12–80.0526%24 Aug
ancient13–40.0927%24 Aug
inferno13–30.1314%24 Aug
cache13–7-0.0013%24 Aug
inferno13–60.0420%24 Aug
mirage5–13-0.0516%23 Aug
cache8–130.037%23 Aug
inferno13–4-0.0023%23 Aug
cache13–70.0812%22 Aug
cache13–10.0322%22 Aug
inferno9–50.1113%22 Aug
vertigo5–9-0.073%22 Aug
vertigo9–60.0820%21 Aug
mirage9–13-0.0015%19 Aug
cache8–13-0.0629%19 Aug
mirage6–130.0218%19 Aug
ancient7–13-0.0328%19 Aug
eldorado9–5-0.0121%19 Aug
poseidon9–60.1527%19 Aug
debris6–90.0212%19 Aug
inferno5–90.0218%19 Aug
overpass5–90.0110%19 Aug
eldorado9–60.0816%19 Aug
eldorado6–90.0919%17 Aug
inferno9–70.0322%17 Aug
debris2–9-0.0924%17 Aug
eldorado5–90.0223%17 Aug
inferno13–8-0.0221%11 Aug
cache5–13-0.0222%11 Aug
ancient11–13-0.0426%9 Aug
cache13–100.0622%9 Aug
mirage13–9-0.0110%4 Aug
anubis6–130.0023%4 Aug
dust28–130.0420%4 Aug
inferno13–20.037%4 Aug
inferno2–130.0325%26 Jul
dust213–110.0715%26 Jul
mirage3–13-0.0416%26 Jul
tuscan_d13–4-0.0221%12 Jul
cbble_d13–16-0.0514%12 Jul
cache13–4-0.0118%8 Jul
inferno13–100.0416%8 Jul
cache11–130.090%25 Jun
vertigo9–60.2027%15 Jun
nuke3–9-0.0930%15 Jun
cache13–40.0933%2 Jun
nuke5–13-0.0613%2 Jun
ancient5–13-0.0213%2 Jun
ancient16–120.1221%2 Jun
anubis16–140.0414%2 Jun
ancient5–130.0014%27 May
mirage13–60.0222%27 May
mirage13–5-0.0128%27 May
ancient5–13-0.0419%27 May
inferno13–40.0715%27 May
overpass9–130.0121%25 May
mirage13–160.0328%25 May
inferno16–140.0426%25 May
anubis15–150.0223%25 May
anubis7–13-0.0110%20 May
dust25–130.0425%20 May
anubis13–110.0723%20 May
ancient5–13-0.0318%20 May
cache11–130.0025%20 May
inferno13–40.1223%19 May
anubis4–13-0.0219%19 May
dust25–13-0.0129%18 May
overpass11–130.0013%18 May
anubis13–100.1819%17 May
ancient13–60.0717%17 May
inferno13–80.0323%17 May
anubis13–7-0.0118%15 May
mirage13–5-0.0022%15 May
inferno3–9-0.280%13 May
cache10–130.0321%12 May
cache6–13-0.0111%12 May
cache13–80.0712%11 May
ancient7–130.0120%11 May
anubis13–10-0.0112%11 May
mirage13–3-0.0415%11 May
ancient9–130.0224%11 May
inferno13–3-0.017%11 May
inferno15–15-0.0317%9 May
anubis9–13-0.0118%9 May
cache13–20.1125%9 May
cache9–13-0.027%9 May
dust26–13-0.0325%9 May
anubis13–110.0012%9 May
cache13–70.1311%9 May
ancient13–1-0.0219%8 May
cache13–30.1027%8 May
cache5–13-0.0328%8 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →