LolliDaddy

LolliDaddy — CS2 Stats

76561198094131097[U:1:133865369]Steam profile ↗✓ No bans

279Tracked matches60%Win rate2020Tracked since
CSDB Rating7.1 StrongEntry Fragger
Premier CS Rating15,742Purple band · top ~25.4% of ranked players (population est.)
CSDB Leaderboard#24780 of 42440 tracked
Ladder ranks via Leetify

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CSDB.GGLolliDaddyPREMIER15,742 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning74
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY54451Last 10054%Win rateWLLWLLWLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim7.6
Aggression10.0
Utility4.7
Positioning7.4
Opening Duels6.5

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

s1mple

Plays most like s1mple 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 48% 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

Aim7.6
Positioning7.4
Utility4.7
Mechanics7.5
Opening Duels6.5
Win Impact8.3

Composite 7.1/10 (Strong), 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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time588ms−57ms
first ⅓ avg 645ms → last ⅓ avg 588ms
Headshot accuracy24.9%−3.6%
first ⅓ avg 28.5% → last ⅓ avg 24.9%

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

0.15Best rating — nuke 13–8
131Biggest win — mirage
6Longest win streak
87In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 83% over 6infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA28181064%0.02
dust2A2314961%0.03
ancientD1551033%0.02
infernoD134931%-0.00
nukeA95456%0.04
anubisS65183%0.02
train41325%-0.00
overpass220100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno 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.

25.4%Headshot accuracy
31.8%Accuracy (enemy spotted)
33.6%Spray accuracy
83.6%Counter-strafing
8.9°Preaim
593msReaction time
47.5%T opening success
64.2%CT opening success
0.69Enemies flashed / flash
6.9%Flash assists
11.18HE damage / grenade
4.83Flashes / 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–110.0532%2 May
dust26–13-0.0343%1 May
ancient2–13-0.0320%1 May
mirage13–80.0223%1 May
nuke14–160.0242%30 Apr
dust214–160.1024%29 Apr
mirage13–1-0.010%29 Apr
ancient5–13-0.0616%29 Apr
nuke13–80.0625%28 Apr
overpass13–110.0430%28 Apr
dust213–7-0.0536%27 Apr
dust213–70.0319%27 Apr
dust213–110.0431%27 Apr
mirage13–160.0423%27 Apr
mirage13–110.0818%26 Apr
inferno0–13-0.060%26 Apr
nuke13–90.0426%26 Apr
ancient2–13-0.0420%26 Apr
mirage10–13-0.0419%26 Apr
nuke9–13-0.0924%25 Apr
ancient13–90.0826%25 Apr
mirage13–100.0420%25 Apr
overpass13–11-0.0315%23 Apr
ancient9–130.0214%23 Apr
nuke13–80.1524%22 Apr
mirage14–160.0324%22 Apr
ancient13–8-0.0140%21 Apr
dust213–9-0.0135%21 Apr
dust213–11-0.0229%21 Apr
mirage13–80.1337%21 Apr
anubis13–80.0338%21 Apr
inferno13–60.0527%20 Apr
dust210–13-0.0320%20 Apr
dust213–50.0533%20 Apr
dust28–130.0329%20 Apr
dust213–40.0524%19 Apr
mirage16–130.0638%19 Apr
inferno4–130.0142%19 Apr
inferno7–130.0518%19 Apr
mirage13–100.039%18 Apr
dust27–130.0124%18 Apr
nuke8–130.0419%17 Feb
dust28–130.0821%10 May
dust210–130.1316%4 May
train2–130.0129%4 May
inferno10–13-0.0823%2 May
anubis16–130.0123%28 Apr
mirage9–13-0.0117%27 Apr
dust26–130.0328%27 Apr
mirage13–50.0824%27 Apr
ancient9–130.1121%27 Apr
inferno15–15-0.0232%27 Apr
inferno11–130.0122%26 Apr
nuke13–90.0914%26 Apr
inferno10–130.0025%25 Apr
mirage13–70.0321%24 Apr
mirage13–100.0134%24 Apr
dust25–13-0.0252%23 Apr
dust213–100.1135%23 Apr
ancient13–80.0613%22 Apr
dust213–70.0626%22 Apr
mirage13–100.0123%21 Apr
mirage13–90.0023%21 Apr
inferno0–13-0.1021%20 Apr
mirage4–13-0.0218%20 Apr
dust213–110.0728%20 Apr
inferno10–130.0416%20 Apr
train2–13-0.0831%20 Apr
mirage13–100.0327%20 Apr
ancient10–130.0738%20 Apr
mirage13–60.0515%18 Apr
dust213–7-0.0827%18 Apr
nuke11–13-0.0220%18 Apr
anubis13–50.0129%18 Apr
anubis13–80.0136%18 Apr
train13–70.0231%18 Apr
mirage13–5-0.0421%17 Apr
train14–160.0419%16 Apr
mirage8–130.0325%16 Apr
mirage6–130.0434%16 Apr
inferno13–8-0.0321%14 Apr
ancient9–130.0228%13 Apr
dust216–140.0419%13 Apr
ancient8–20.0817%13 Apr
ancient10–13-0.0232%12 Apr
anubis7–13-0.0027%11 Apr
inferno13–10-0.0124%11 Apr
nuke13–90.0836%9 Apr
mirage11–13-0.0121%9 Apr
mirage7–13-0.0716%7 Apr
ancient8–13-0.0214%7 Apr
mirage13–7-0.0419%6 Apr
anubis13–90.0826%4 Apr
mirage13–90.0458%4 Apr
ancient13–80.0018%3 Apr
mirage9–00.07100%3 Apr
inferno13–70.1323%3 Apr
mirage5–13-0.0543%29 Mar
ancient8–130.0914%29 Mar
dust213–6-0.0032%29 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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