PennyS — CS2 Stats

76561198044634606[U:1:84368878]✓ No bans

1,008Tracked matches35%Win rate2021Tracked since
3,574Hours in CS30Hrs last 2 wks
CSDB Rating3.4 Learning
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim44
Positioning29
Utility23

0–100 skill scores via Leetify.

Recent form

COLD414712Last 10041%Win rateLTLLLLWTLL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

Aim4.4
Aggression2.6
Utility2.3
Positioning2.9
Opening Duels0.0

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

NiKo

Plays most like NiKo 67% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Areas to improve

Reaction time. 677ms 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

Aim4.4
Positioning2.9
Utility2.3
Mechanics7.5
Opening Duels0.0
Win Impact0.0

Composite 3.4/10 (Learning), 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-0.05−0.05
first ⅓ avg 0.00 → last ⅓ avg -0.05
Reaction time664ms+54ms
first ⅓ avg 611ms → last ⅓ avg 664ms
Headshot accuracy11.2%−9.9%
first ⅓ avg 21.1% → last ⅓ avg 11.2%

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

0.15Best rating — train 13–3
131Biggest win — office
8Longest win streak
23In matches decided by ≤2 rounds

Map breakdown

officeBest map · 46% over 63nukeWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
officeB63293446%-0.00
nukeD1951426%-0.05
trainC156940%-0.02
cache1010%-0.10
ancient110100%-0.07
dust21010%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,202Lifetime kills
0.97K/D
7,730Matches
42.6%Match win rate
37.1%Headshot %
16.3%Shot accuracy · Top 25% of tracked players
10,438MVPs
1,871Hours (in match)
2,169Bombs planted
523Bombs defused

Most-used weapons

AK-4717,019
AWP6,413
Knife3,360
Nova3,169
MP72,862
P902,601

Lifetime map wins

10,665office
2,949dust2
2,344nuke
2,126vertigo
1,722inferno
1,599lake
1,187train
818cbble

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.

12.3%Headshot accuracy
33.8%Accuracy (enemy spotted)
37.1%Spray accuracy
83.9%Counter-strafing
13.2°Preaim
677msReaction time
27.0%T opening success
27.3%CT opening success
0.21Enemies flashed / flash
2.8%Flash assists
15.34HE damage / grenade
1.29Flashes / 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 13.2423° — 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 12.3346% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2134 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
office6–13-0.058%28 Aug
nuke12–12-0.0515%28 Aug
train4–13-0.110%26 Aug
nuke1–13-0.100%25 Aug
office10–13-0.0519%25 Aug
office2–13-0.0419%25 Aug
office13–11-0.0413%24 Aug
office12–12-0.0513%24 Aug
office6–13-0.056%24 Aug
office3–13-0.116%24 Aug
office12–12-0.0315%23 Aug
office13–40.0129%23 Aug
office13–7-0.0219%23 Aug
office13–100.0117%23 Aug
train12–12-0.0516%22 Aug
nuke4–13-0.0616%22 Aug
nuke13–6-0.0615%22 Aug
nuke13–6-0.106%22 Aug
train3–13-0.0310%22 Aug
office13–7-0.035%21 Aug
nuke6–13-0.109%21 Aug
office6–13-0.075%20 Aug
nuke9–13-0.0712%20 Aug
train3–7-0.080%20 Aug
nuke5–13-0.0721%20 Aug
nuke2–13-0.0016%20 Aug
office13–10-0.048%19 Aug
office13–10-0.0219%19 Aug
train4–13-0.075%19 Aug
nuke0–3-0.030%19 Aug
nuke3–13-0.0215%19 Aug
nuke13–6-0.0314%18 Aug
nuke2–13-0.053%18 Aug
office7–13-0.0223%18 Aug
cache6–13-0.1011%17 Aug
ancient13–9-0.0713%16 Aug
train13–7-0.0424%16 Aug
office0–13-0.0517%15 Aug
train12–120.019%14 Aug
train13–70.069%14 Aug
train6–13-0.0813%14 Aug
nuke9–130.0119%14 Aug
office13–40.0330%14 Aug
train13–30.1512%14 Aug
train4–130.0316%14 Aug
train13–90.0110%13 Aug
train13–9-0.0119%13 Aug
office12–120.0117%9 Aug
train12–12-0.057%3 Aug
office7–13-0.0238%3 Aug
train13–90.0123%3 Aug
office6–130.0323%2 Aug
office10–13-0.0517%2 Aug
office9–13-0.0717%2 Aug
office12–120.0623%2 Aug
office11–130.0519%2 Aug
office13–7-0.0115%2 Aug
office13–30.0739%2 Aug
office13–30.0123%2 Aug
office13–7-0.077%1 Aug
office13–2-0.0316%1 Aug
office13–10.007%1 Aug
office13–100.0014%31 Jul
office13–30.1317%31 Jul
office12–12-0.0418%31 Jul
office13–40.1427%31 Jul
office13–90.0426%31 Jul
dust23–13-0.047%29 Jul
office5–12-0.007%27 Jul
nuke6–13-0.0715%27 Jul
office11–130.0117%27 Jul
office8–2-0.0614%23 Jul
office11–13-0.0415%23 Jul
office11–40.0317%23 Jul
office7–130.0525%23 Jul
office13–2-0.0367%23 Jul
office13–90.0110%23 Jul
office3–13-0.065%21 Jul
office12–12-0.0328%21 Jul
office9–13-0.0715%21 Jul
office6–13-0.0445%21 Jul
office13–100.0114%21 Jul
office12–12-0.0522%20 Jul
office5–130.0621%20 Jul
office10–130.1332%20 Jul
nuke3–13-0.0615%20 Jul
nuke12–12-0.0420%20 Jul
office13–100.1026%20 Jul
office11–20.0924%20 Jul
office0–13-0.0827%20 Jul
office7–130.1231%20 Jul
office13–40.0619%20 Jul
office10–130.0923%20 Jul
office13–60.0830%19 Jul
office3–13-0.0713%19 Jul
office13–11-0.0023%19 Jul
nuke13–60.0325%19 Jul
office9–13-0.0423%19 Jul
office13–100.0110%18 Jul
nuke13–3-0.029%18 Jul

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →