June Pippinpaddleopsicopolis — CS2 Stats

76561198058108948[U:1:97843220]

2,238Tracked matches48%Win rate2020Tracked since
4,374Hours in CS8Hrs last 2 wks
CSDB Rating4.6 Developing
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim54
Positioning41
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY464113Last 10046%Win rateTWLWLLWWLW

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

Player DNA

Aim5.4
Aggression5.0
Utility6.0
Positioning4.1
Opening Duels0.5

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 595ms 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

Aim5.4
Positioning4.1
Utility6.0
Mechanics5.3
Opening Duels0.5
Win Impact4.3

Composite 4.6/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time594ms+2ms
first ⅓ avg 592ms → last ⅓ avg 594ms
Headshot accuracy13.7%−3.1%
first ⅓ avg 16.7% → last ⅓ avg 13.7%

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 — train 13–5
131Biggest win — anubis
5Longest win streak
97In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 62% over 13mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB179853%0.02
dust2A138562%-0.01
cacheD113827%-0.01
nukeA106460%-0.03
ancientC94544%-0.01
anubisB84450%0.01
vertigoC83538%-0.01
overpassC83538%0.03
trainA74357%0.02
mirageD71614%-0.01
poseidon110100%0.07
debris1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,460Lifetime kills
0.86K/D
7,602Matches
38.4%Match win rate
37.7%Headshot %
15.1%Shot accuracy · Top 50% of tracked players
12,074MVPs
3,079Hours (in match)
4,275Bombs planted
1,304Bombs defused

Most-used weapons

AK-4726,668
AWP6,366
MP95,698
MP75,595
MAC-105,252
FAMAS2,651

Lifetime map wins

10,452dust2
8,472inferno
3,412nuke
2,507vertigo
1,777train
976office
749cbble
139aztec

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.

13.9%Headshot accuracy
35.8%Accuracy (enemy spotted)
44.7%Spray accuracy
73.9%Counter-strafing
14.0°Preaim
595msReaction time
29.8%T opening success
34.3%CT opening success
0.67Enemies flashed / flash
3.7%Flash assists
9.91HE damage / grenade
6.19Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.0321° — above the 12° mark we flag

    Aim Training
  2. 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 13.8864% — below the 15% mark we flag

    Aim Training
Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis12–120.049%25 Aug
ancient13–70.048%25 Aug
inferno6–13-0.0116%25 Aug
poseidon9–60.079%25 Aug
debris3–90.0113%25 Aug
cache11–13-0.0118%22 Aug
inferno13–60.0415%22 Aug
anubis13–10.0216%22 Aug
train11–13-0.0221%22 Aug
vertigo13–9-0.0310%17 Aug
ancient13–11-0.0114%17 Aug
overpass11–130.0014%15 Aug
ancient13–10-0.0214%15 Aug
mirage5–13-0.0318%15 Aug
dust212–12-0.0120%15 Aug
cache5–130.0110%15 Aug
anubis10–13-0.0211%15 Aug
nuke9–1-0.0117%15 Aug
train13–11-0.0114%15 Aug
nuke12–12-0.0713%14 Aug
inferno12–12-0.018%14 Aug
train13–10-0.0020%14 Aug
dust213–8-0.043%14 Aug
vertigo7–13-0.0312%11 Aug
dust26–13-0.075%11 Aug
nuke6–13-0.0421%9 Aug
ancient6–130.0017%9 Aug
mirage1–13-0.097%7 Aug
vertigo5–13-0.0113%7 Aug
nuke13–6-0.019%7 Aug
inferno12–120.0223%7 Aug
dust213–8-0.0322%6 Aug
overpass11–130.0516%6 Aug
mirage10–13-0.0417%2 Aug
train9–13-0.0413%2 Aug
anubis13–10-0.018%2 Aug
inferno8–13-0.0515%2 Aug
cache12–12-0.0120%2 Aug
overpass13–50.0625%2 Aug
vertigo13–90.0420%19 Jul
cache10–13-0.0615%19 Jul
inferno13–11-0.0114%19 Jul
nuke12–12-0.0130%19 Jul
ancient10–130.0111%19 Jul
overpass11–130.0716%18 Jul
mirage13–110.1117%18 Jul
train13–3-0.0015%18 Jul
inferno7–130.0616%18 Jul
dust213–40.0111%18 Jul
anubis12–120.0521%18 Jul
cache11–13-0.0619%18 Jul
ancient13–4-0.0116%14 Jul
inferno12–12-0.0315%14 Jul
nuke13–100.0016%14 Jul
inferno13–11-0.0015%12 Jul
ancient8–130.0025%12 Jul
dust26–13-0.0523%12 Jul
vertigo13–9-0.0117%12 Jul
cache13–10-0.028%12 Jul
inferno13–5-0.0212%12 Jul
nuke5–13-0.0614%12 Jul
anubis5–13-0.0212%12 Jul
dust213–4-0.0419%12 Jul
vertigo5–13-0.0314%7 Jul
train13–50.1515%7 Jul
cache3–13-0.0415%7 Jul
dust213–10-0.0016%7 Jul
inferno13–110.1017%3 Jun
cache13–100.0712%3 Jun
overpass5–13-0.0718%3 Jun
vertigo12–12-0.0114%3 Jun
dust211–130.0129%3 Jun
overpass13–60.0718%1 Jun
dust212–12-0.0111%1 Jun
inferno12–12-0.0417%1 Jun
anubis13–90.0113%1 Jun
dust213–30.0613%1 Jun
nuke13–5-0.0826%1 Jun
inferno13–70.1017%30 May
mirage12–12-0.0215%30 May
ancient3–13-0.0616%30 May
anubis13–6-0.0120%30 May
inferno13–30.1420%30 May
overpass13–90.0423%30 May
dust213–10.0711%30 May
nuke13–7-0.0414%30 May
cache10–130.0415%30 May
inferno13–110.0210%29 May
overpass4–13-0.0116%29 May
dust213–5-0.0529%29 May
inferno13–100.0124%29 May
train7–130.0620%29 May
mirage10–130.009%29 May
cache7–13-0.034%29 May
nuke13–110.0017%29 May
ancient10–130.0016%29 May
vertigo8–13-0.0213%29 May
cache8–7-0.0017%29 May
mirage6–13-0.0119%29 May
inferno9–13-0.0119%28 May

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 →