Lick Me

Lick Me — CS2 Stats

ZA76561199079826618[U:1:1119560890]Steam profile ↗

671Tracked matches45%Win rate2023Tracked since
286Hours in CS
CSDB Rating6.2 SolidAggressive Rifler
Premier CS Rating25,377Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#1520 of 10583 tracked
Ladder ranks via Leetify

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CSDB.GGLick MePREMIER25,377 · Red bandcsdb.gg/stats

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Performance scores

Aim73
Positioning55
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY58402Last 10058%Win rateWLWWWLLLLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim7.3
Aggression9.6
Utility5.4
Positioning5.5
Opening Duels4.0

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: opening-fight frequency, 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. 585ms 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

Aim7.3
Positioning5.5
Utility5.4
Mechanics7.0
Opening Duels4.0
Win Impact3.3

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.06
first ⅓ avg 0.05 → last ⅓ avg -0.00
Reaction time572ms+35ms
first ⅓ avg 537ms → last ⅓ avg 572ms
Headshot accuracy23.2%−0.8%
first ⅓ avg 24.0% → last ⅓ avg 23.2%

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

0.23Best rating — dust2 13–4
130Biggest win — dust2
8Longest win streak
98In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 82% over 11ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB31151648%0.03
dust2B26141254%0.04
infernoS119282%0.04
cacheS96367%0.02
anubisS97278%0.05
nukeA85363%0.06
ancientD62433%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,091Lifetime kills
1.24K/D · Top 25% of tracked players
732Matches
49.5%Match win rate · Top 25% of tracked players
50.2%Headshot % · Top 50% of tracked players
4.2%Shot accuracy
2,065MVPs
286Hours (in match)
622Bombs planted
275Bombs defused

Most-used weapons

Lifetime map wins

1,749dust2
1,092inferno
596nuke
314vertigo
68train
6ar_baggage
4ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.0%Headshot accuracy
32.4%Accuracy (enemy spotted)
34.3%Spray accuracy
81.7%Counter-strafing
9.3°Preaim
585msReaction time
43.9%T opening success
48.1%CT opening success
0.60Enemies flashed / flash
4.7%Flash assists
6.79HE damage / grenade
13.82Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache16–14-0.0213%27 Aug
inferno7–13-0.0827%26 Aug
inferno13–110.0222%25 Aug
dust213–100.027%25 Aug
mirage13–4-0.0033%25 Aug
mirage5–13-0.0519%25 Aug
dust210–13-0.0323%24 Aug
mirage4–130.0339%24 Aug
dust22–13-0.047%23 Aug
dust213–9-0.0119%23 Aug
dust26–13-0.0714%23 Aug
mirage15–15-0.0823%23 Aug
mirage11–13-0.0412%23 Aug
ancient10–130.0328%23 Aug
mirage13–110.0223%23 Aug
cache13–70.0238%22 Aug
mirage11–130.0423%20 Aug
ancient2–13-0.0720%20 Aug
mirage9–130.0424%20 Aug
dust211–130.0530%20 Aug
mirage13–60.0233%17 Aug
anubis2–13-0.0931%16 Aug
dust213–5-0.0420%16 Aug
nuke4–13-0.0429%15 Aug
anubis9–13-0.0219%15 Aug
mirage13–50.0419%14 Aug
dust213–10-0.0422%14 Aug
cache1–13-0.0841%14 Aug
mirage13–20.1929%14 Aug
anubis13–4-0.0016%14 Aug
anubis13–20.1530%14 Aug
ancient13–100.0317%13 Aug
mirage6–130.0216%13 Aug
mirage6–130.0324%13 Aug
mirage8–130.0315%11 Aug
dust213–100.0228%11 Aug
cache14–160.0227%11 Aug
cache13–7-0.0227%10 Aug
anubis13–10.0922%10 Aug
nuke13–7-0.0116%10 Aug
mirage13–40.0529%9 Aug
mirage3–13-0.0721%9 Aug
dust210–130.0422%9 Aug
inferno13–10-0.0519%8 Aug
mirage10–13-0.0425%6 Aug
dust23–50.000%5 Aug
mirage6–13-0.0838%5 Aug
ancient13–11-0.0515%5 Aug
anubis13–40.0326%4 Aug
nuke16–120.0733%4 Aug
dust24–13-0.0311%4 Aug
inferno13–90.0643%3 Aug
nuke13–60.1815%3 Aug
mirage13–110.0718%3 Aug
ancient15–150.0917%3 Aug
inferno7–13-0.0021%3 Aug
dust29–130.1225%1 Aug
dust213–00.2217%31 Jul
dust213–30.1718%31 Jul
mirage4–130.1214%31 Jul
mirage13–20.0528%30 Jul
mirage13–50.0442%30 Jul
dust213–40.2333%30 Jul
anubis13–70.1121%30 Jul
anubis16–130.1532%29 Jul
mirage13–70.0726%29 Jul
cache10–130.078%29 Jul
nuke13–90.1414%29 Jul
nuke9–130.1525%29 Jul
mirage13–30.1829%29 Jul
dust29–130.1416%29 Jul
inferno16–130.057%29 Jul
dust213–90.1024%28 Jul
cache13–50.0738%28 Jul
mirage13–8-0.0133%28 Jul
inferno13–110.1312%28 Jul
mirage13–60.1229%28 Jul
inferno13–110.1325%28 Jul
nuke2–13-0.0530%28 Jul
mirage11–130.1428%28 Jul
cache13–50.0835%27 Jul
inferno13–70.1116%27 Jul
dust210–13-0.0537%27 Jul
ancient6–13-0.0413%26 Jul
mirage13–70.1233%26 Jul
dust213–11-0.0510%26 Jul
inferno13–90.0217%26 Jul
cache16–120.0127%26 Jul
nuke13–60.0327%26 Jul
dust213–80.0324%26 Jul
dust213–50.1231%26 Jul
dust213–50.0518%26 Jul
mirage1–13-0.0531%24 Jul
dust211–13-0.0321%24 Jul
dust23–13-0.0125%24 Jul
mirage13–110.0623%23 Jul
mirage11–13-0.0223%23 Jul
inferno13–70.0138%23 Jul
anubis13–100.0317%23 Jul
dust213–90.0619%23 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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