SuperPagong

SuperPagong — CS2 Stats

US76561198070620239[U:1:110354511]Steam profile ↗

909Tracked matches30%Win rate2020Tracked since
CSDB Rating4.0 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSuperPagongFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning41
Utility17

0–100 skill scores via Leetify.

Recent form

COLD45478Last 10045%Win rateLLWLLLLTLL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim5.4
Aggression4.4
Utility1.7
Positioning4.1
Opening Duels0.4
Clutch0.0

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 71% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 681ms 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
Utility1.7
Mechanics8.5
Opening Duels0.6
Win Impact0.0

Composite 4.0/10 (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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time681ms+17ms
first ⅓ avg 665ms → last ⅓ avg 681ms
Headshot accuracy23.9%−2.0%
first ⅓ avg 25.9% → last ⅓ avg 23.9%

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 — ancient 4–0
130Biggest win — mirage
5Longest win streak
L2Current streak
87In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 64% over 14mirageWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
dust2C29121741%-0.01
mirageD1961332%-0.02
ancientA149564%-0.02
infernoC114736%-0.02
trainA95456%-0.03
nukeC94544%-0.03
anubisA53260%-0.03
overpass42250%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

77Matches
49%Win rate
1.01Avg K/D
74.3ADR
50%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis3100%1.2116.0
Overpass2100%1.2013.0
Vertigo10%0.569.0
Ancient10%1.0619.0
Mirage10%0.8713.0
Nuke1100%0.7814.0

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.

24.4%Headshot accuracy
25.2%Accuracy (enemy spotted)
27.3%Spray accuracy
88.4%Counter-strafing
9.7°Preaim
681msReaction time
28.1%T opening success
34.9%CT opening success
0.56Enemies flashed / flash
1.9%Flash assists
7.49HE damage / grenade
4.18Flashes / 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 28.0867% — below the 40% mark we flag

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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–130.0031%26 Jun
ancient5–13-0.0423%26 Jun
overpass13–60.0136%3 Jun
anubis1–13-0.0515%3 Jun
mirage6–13-0.0731%7 Dec
dust27–13-0.0619%7 Dec
dust26–13-0.0036%13 Oct
dust215–15-0.0123%13 Oct
overpass9–13-0.0022%3 Sept
dust25–13-0.0828%4 Aug
mirage16–14-0.0520%28 Jul
train13–16-0.0328%25 Jul
overpass13–9-0.0423%25 Jul
dust213–6-0.0332%25 Jul
overpass9–13-0.0426%25 Jul
ancient2–13-0.100%25 Jul
inferno15–15-0.0421%25 Jul
mirage3–13-0.0518%25 Jul
dust215–15-0.0420%25 Jul
nuke13–11-0.0129%23 Jul
inferno13–80.0114%13 Jul
dust213–5-0.0031%13 Jul
train10–13-0.0119%13 Jul
dust211–13-0.0711%12 Jul
train16–12-0.0133%11 Jul
mirage8–13-0.0532%11 Jul
mirage10–13-0.0423%8 Jul
nuke5–13-0.0316%8 Jul
nuke14–16-0.0436%24 Jun
ancient6–13-0.0124%24 Jun
dust210–13-0.0925%22 Jun
dust29–13-0.0526%22 Jun
inferno7–13-0.1016%22 Jun
dust213–10-0.0812%18 Jun
nuke9–13-0.0714%18 Jun
anubis13–30.0123%18 Jun
inferno13–8-0.0314%18 Jun
anubis16–13-0.0428%18 Jun
mirage2–13-0.0126%18 Jun
ancient13–11-0.0927%17 Jun
mirage15–15-0.0624%17 Jun
mirage2–13-0.0341%17 Jun
dust213–50.0231%17 Jun
ancient13–9-0.0135%17 Jun
anubis13–90.0028%17 Jun
train13–8-0.0526%17 Jun
anubis6–13-0.0727%10 Jun
ancient13–5-0.0017%2 Jun
ancient13–8-0.0326%26 May
mirage1–13-0.0118%26 May
dust213–70.0426%26 May
mirage13–90.0426%26 May
dust213–80.0734%26 May
nuke13–11-0.0634%25 May
inferno16–120.0544%25 May
mirage3–13-0.0219%25 May
ancient13–90.0228%25 May
ancient13–100.0012%24 May
dust213–30.0850%24 May
ancient15–150.0118%23 May
train13–9-0.0229%23 May
train13–8-0.0824%23 May
inferno13–100.0234%9 May
dust211–130.0323%4 May
mirage11–13-0.0323%4 May
dust213–90.0127%4 May
ancient13–7-0.0725%4 May
mirage13–00.0526%4 May
inferno10–130.0027%4 May
dust27–13-0.0631%3 May
nuke15–15-0.0220%3 May
mirage15–15-0.0430%3 May
train13–11-0.0025%2 May
nuke13–70.0424%2 May
dust211–13-0.0217%1 May
nuke11–13-0.0724%1 May
dust213–80.0329%27 Apr
inferno11–13-0.0518%27 Apr
mirage10–130.0225%26 Apr
ancient13–80.0229%26 Apr
ancient10–13-0.1022%15 Apr
dust27–130.0021%15 Apr
dust26–13-0.0437%14 Apr
dust213–100.0127%12 Apr
ancient4–00.1527%12 Apr
mirage7–13-0.0427%12 Apr
inferno6–13-0.0822%8 Apr
dust213–11-0.0429%8 Apr
dust29–130.0120%8 Apr
train15–15-0.0525%8 Apr
nuke13–9-0.0220%7 Apr
dust28–13-0.0125%7 Apr
train5–130.0129%4 Apr
dust26–130.0143%4 Apr
dust213–7-0.0326%1 Apr
mirage13–11-0.0428%1 Apr
mirage16–12-0.0126%1 Apr
inferno10–130.0433%1 Apr
mirage13–110.1126%26 Mar
dust213–16-0.0316%26 Mar

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 →