That Pug Guy

That Pug Guy — CS2 Stats

US76561198259513786[U:1:299248058]Steam profile ↗

2,171Tracked matches47%Win rate2020Tracked since
2,906Hours in CS10Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating19,889Purple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#3951 of 8384 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGThat Pug GuyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,889 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning46
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateLLWWWLWLWL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression5.3
Utility4.9
Positioning4.6
Opening Duels1.2
Clutch2.4

Strong CT-side opener

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 86% playstyle similarity

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

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

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim6.3
Positioning4.6
Utility4.9
Mechanics5.8
Opening Duels1.7
Win Impact3.9

Composite 5.0/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time559ms−26ms
first ⅓ avg 585ms → last ⅓ avg 559ms
Headshot accuracy16.4%−3.1%
first ⅓ avg 19.6% → last ⅓ avg 16.4%

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 — dust2 13–1
131Biggest win — dust2
7Longest win streak
L2Current streak
86In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2391439%-0.01
mirageC1881044%0.00
nukeB158753%0.02
cacheB147750%0.01
anubisA116555%-0.00
infernoD112918%-0.03
ancientA85363%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,041Lifetime kills
0.97K/D
4,786Matches
44.9%Match win rate
41.3%Headshot %
10.9%Shot accuracy
8,329MVPs
1,566Hours (in match)
3,726Bombs planted
1,074Bombs defused

Most-used weapons

AK-4724,470
AWP5,392
MP92,928
MAC-102,140
P250895

Lifetime map wins

6,322dust2
5,546inferno
5,267nuke
2,572train
2,480vertigo
1,342office
87lake
63cbble

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

Faceit stats

Combat

121Matches
52%Win rate
1.09Avg K/D
82.1ADR
46%Headshot %

Clutches & streaks

32%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2748%1.0315.0
Dust22642%1.0515.8
Ancient1953%1.2217.6
Inferno1457%1.0114.8
Nuke1464%1.1519.9
Anubis1258%0.9714.2
Cache560%1.0113.2
Overpass450%1.5917.0

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.

15.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.7%Spray accuracy
76.3%Counter-strafing
9.8°Preaim
572msReaction time
26.4%T opening success
43.3%CT opening success
0.62Enemies flashed / flash
4.1%Flash assists
9.50HE damage / grenade
7.19Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 26.4482% — below the 40% mark we flag

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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–130.0113%28 Aug
dust29–13-0.0615%28 Aug
cache13–90.0214%28 Aug
anubis13–110.0417%27 Aug
mirage13–70.029%27 Aug
nuke13–16-0.0015%27 Aug
dust216–14-0.0114%27 Aug
dust27–13-0.0519%19 Aug
dust213–10-0.0119%19 Aug
mirage9–130.0113%19 Aug
dust211–13-0.0718%16 Aug
nuke13–50.0419%16 Aug
anubis8–13-0.0623%16 Aug
inferno4–13-0.0623%16 Aug
cache13–11-0.0612%14 Aug
mirage13–10-0.0515%14 Aug
dust28–13-0.0519%14 Aug
mirage11–13-0.0317%14 Aug
anubis13–80.0121%14 Aug
mirage14–160.0213%11 Aug
dust213–100.0815%11 Aug
cache7–13-0.0518%11 Aug
nuke3–00.1220%11 Aug
cache13–110.1114%10 Aug
mirage11–130.045%7 Aug
dust214–160.0117%7 Aug
inferno7–13-0.0621%6 Aug
ancient13–6-0.0118%6 Aug
ancient13–40.0618%6 Aug
ancient6–130.002%5 Aug
mirage13–5-0.0717%5 Aug
dust213–70.0212%5 Aug
dust26–13-0.0336%5 Aug
anubis13–50.0014%4 Aug
nuke13–90.0516%4 Aug
dust213–70.0422%4 Aug
nuke13–80.0819%4 Aug
ancient13–50.0221%3 Aug
mirage13–70.0113%3 Aug
inferno13–70.0017%3 Aug
nuke8–13-0.024%3 Aug
dust210–130.0214%31 Jul
nuke9–13-0.038%31 Jul
ancient13–30.0526%31 Jul
nuke9–130.0219%31 Jul
inferno8–130.0333%31 Jul
dust213–10-0.0519%31 Jul
anubis13–6-0.0024%30 Jul
inferno11–130.0121%30 Jul
inferno5–13-0.0511%30 Jul
anubis13–80.0618%29 Jul
dust213–5-0.0324%29 Jul
dust213–10.1547%29 Jul
cache6–13-0.0128%27 Jul
mirage13–70.0231%27 Jul
mirage13–90.0613%24 Jul
nuke3–13-0.0618%21 Jul
anubis5–13-0.0519%21 Jul
cache13–70.0016%21 Jul
mirage15–150.0317%21 Jul
ancient2–13-0.0423%21 Jul
dust29–13-0.0323%20 Jul
cache13–100.0531%20 Jul
mirage4–130.0315%20 Jul
cache9–13-0.0611%20 Jul
inferno3–13-0.1321%19 Jul
cache13–70.0319%19 Jul
cache9–13-0.0113%19 Jul
dust210–130.0226%19 Jul
dust210–13-0.0212%18 Jul
mirage5–13-0.0111%18 Jul
cache4–130.0123%18 Jul
cache13–110.0817%18 Jul
dust26–13-0.0017%18 Jul
nuke13–40.0527%18 Jul
dust213–110.0416%18 Jul
mirage8–13-0.0521%18 Jul
inferno8–130.0214%17 Jul
anubis5–13-0.0232%17 Jul
nuke15–15-0.0227%17 Jul
mirage13–11-0.0218%17 Jul
inferno7–13-0.0518%17 Jul
nuke13–90.0120%17 Jul
inferno13–11-0.0017%16 Jul
mirage8–130.0220%16 Jul
nuke13–10-0.0125%16 Jul
anubis7–130.0015%15 Jul
anubis5–130.0017%15 Jul
anubis13–7-0.0222%15 Jul
ancient13–9-0.0517%15 Jul
mirage13–70.0321%14 Jul
ancient7–13-0.0124%14 Jul
dust215–15-0.0115%14 Jul
inferno7–13-0.0113%14 Jul
cache7–130.0220%14 Jul
mirage4–13-0.0518%13 Jul
dust25–13-0.0520%13 Jul
cache9–13-0.0518%13 Jul
nuke8–40.0930%13 Jul
dust23–13-0.0424%10 Jul

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 →