Anti - Pingu

Anti - Pingu — CS2 Stats

DK76561198186736651[U:1:226470923]Steam profile ↗

968Tracked matches56%Win rate2020Tracked since
946Hours in CS
CSDB Rating5.6 SolidAggressive Rifler
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim75
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY42499Last 10042%Win rateWLWWWLWLLL

Last 10 vs previous 10: +0pp win rate · -0.06 avg rating

Player DNA

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

Aim7.5
Aggression9.6
Utility5.3
Positioning5.8
Opening Duels4.7
Clutch1.6

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

device

Plays most like device 91% 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

T-side openings. Opening success drops from 57% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim7.5
Positioning5.8
Utility5.3
Mechanics5.9
Opening Duels4.7
Win Impact7.0

Composite 5.6/10 (Solid), 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 rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time564ms−56ms
first ⅓ avg 620ms → last ⅓ avg 564ms
Headshot accuracy20.1%−3.1%
first ⅓ avg 23.2% → last ⅓ avg 20.1%

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

0.21Best rating — inferno 9–1
133Biggest win — dust2
4Longest win streak
99In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 60% over 5trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2381535%-0.00
nukeB189950%-0.01
mirageD1651131%-0.02
overpassA127558%-0.00
ancientC73443%-0.02
dust2C73443%-0.02
anubisA53260%-0.01
trainD51420%0.01
vertigo43175%0.05
cache1010%0.02
italy1010%-0.05
office1010%0.00

Across the last 100 tracked matches.

Lifetime stats

49,853Lifetime kills
0.84K/D
3,299Matches
40.7%Match win rate
42.8%Headshot %
13.9%Shot accuracy · Top 50% of tracked players
7,781MVPs
946Hours (in match)
3,225Bombs planted
605Bombs defused

Most-used weapons

AK-4711,254
AWP8,024
SG 5531,307
SSG 081,138
AUG1,100
Knife965

Lifetime map wins

4,108inferno
2,892vertigo
2,804dust2
1,904nuke
967train
932lake
711cbble
106office

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

Faceit stats

Combat

312Matches
53%Win rate
0.87Avg K/D
72.2ADR
39%Headshot %

Clutches & streaks

28%1v1 clutch win
34%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3345%0.8514.2
Nuke3259%0.9913.5
Inferno2861%0.9614.7
Vertigo1759%0.9212.7
Mirage1669%1.0816.4
Dust21443%0.8414.3
Overpass1155%1.0014.6
Cache956%0.8412.8

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

19.5%Headshot accuracy
37.2%Accuracy (enemy spotted)
39.5%Spray accuracy
76.7%Counter-strafing
9.5°Preaim
587msReaction time
40.9%T opening success
56.6%CT opening success
0.59Enemies flashed / flash
5.6%Flash assists
11.00HE damage / grenade
4.14Flashes / match

Recommended for you

Spend your practice time on Train

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.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
vertigo9–3-0.0329%7 Aug
inferno5–9-0.1233%7 Aug
inferno9–60.0445%7 Aug
nuke13–4-0.058%5 Aug
mirage13–11-0.0227%4 Aug
inferno4–13-0.0625%2 Aug
nuke13–10-0.0632%2 Aug
overpass4–9-0.118%2 Aug
mirage4–13-0.049%13 Jun
anubis11–13-0.008%5 Jun
mirage15–150.0016%5 Jun
mirage2–130.0422%5 Jun
inferno8–80.0113%5 Jun
inferno9–10.2141%3 Jun
anubis13–11-0.0021%3 Jun
ancient13–10-0.0613%2 Jun
nuke4–13-0.0217%26 May
nuke13–50.0317%24 May
inferno12–160.0220%18 May
nuke16–13-0.0119%17 May
dust29–130.0220%13 May
anubis13–80.0127%12 May
dust215–15-0.0120%12 May
overpass13–40.0513%12 May
vertigo9–40.0816%12 May
nuke9–7-0.0229%11 May
inferno4–9-0.180%11 May
inferno9–60.1921%11 May
mirage10–13-0.0620%5 May
inferno15–15-0.0222%5 May
nuke9–130.0114%4 May
ancient11–13-0.0017%3 May
nuke13–50.0623%3 May
ancient13–50.0123%3 May
cache12–120.0232%2 May
inferno13–70.0219%2 May
mirage13–50.0122%2 May
anubis15–15-0.0111%30 Mar
mirage10–13-0.0418%30 Mar
inferno13–60.1133%30 Mar
nuke10–130.0620%30 Mar
mirage4–13-0.0422%30 Mar
dust213–8-0.0416%30 Mar
dust210–13-0.0323%30 Mar
overpass8–80.0719%12 Mar
ancient8–13-0.039%12 Mar
train4–130.0325%12 Mar
italy0–13-0.050%12 Mar
inferno5–13-0.1211%11 Mar
mirage10–13-0.0214%10 Mar
overpass6–9-0.0610%10 Mar
overpass5–9-0.0314%9 Mar
nuke13–10-0.0111%1 Mar
inferno1–9-0.0913%1 Mar
mirage6–13-0.065%28 Feb
inferno13–11-0.0215%28 Feb
anubis13–10-0.0515%28 Feb
mirage13–6-0.0017%28 Feb
nuke9–13-0.060%28 Feb
dust213–3-0.0610%28 Feb
mirage11–13-0.008%27 Feb
nuke10–130.0021%26 Feb
inferno9–13-0.054%26 Feb
nuke13–110.0213%8 Oct
inferno9–7-0.026%7 Oct
vertigo9–30.1053%7 Oct
inferno6–9-0.1119%7 Oct
nuke13–80.0219%7 Oct
overpass13–10-0.0113%6 Oct
overpass13–11-0.0423%6 Oct
mirage13–50.0315%6 Oct
nuke11–13-0.0825%3 Oct
inferno10–13-0.0411%3 Oct
inferno6–13-0.0420%2 Oct
nuke11–13-0.0420%2 Oct
mirage15–15-0.0132%2 Oct
nuke7–13-0.0515%2 Oct
overpass4–13-0.0516%2 Oct
overpass13–60.0342%2 Oct
ancient7–13-0.080%2 Oct
nuke7–130.0024%1 Oct
office6–130.0030%1 Oct
overpass13–40.0729%1 Oct
ancient13–100.0427%1 Oct
dust210–13-0.0217%17 Sept
dust213–50.0215%17 Sept
train3–13-0.0325%17 Sept
overpass13–110.0118%17 Sept
mirage13–10-0.0610%16 Sept
inferno4–13-0.0319%16 Sept
train9–130.0344%16 Sept
train13–110.0525%16 Sept
ancient14–16-0.0531%16 Sept
inferno8–80.0736%11 Sept
vertigo7–90.0432%11 Sept
inferno9–50.1230%11 Sept
inferno14–160.0433%11 Sept
train7–13-0.0328%11 Sept
mirage11–13-0.0426%10 Sept
overpass13–30.0516%3 Sept

Match data via Leetify.

Recent teammates

Milestones

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