SumTingWong — CS2 Stats

76561199202814474[U:1:1242548746]

178Tracked matches54%Win rate2023Tracked since
CSDB Rating4.9 DevelopingAggressive Rifler
Premier CS Rating13,783Blue band · top ~34.8% of ranked players (population est.)
CSDB Leaderboard#33684 of 52492 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

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CSDB.GGSumTingWongFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,783 · Blue bandcsdb.gg/stats

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Performance scores

Aim78
Positioning42
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY52399Last 10052%Win rateLLWLLWWWTL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.8
Aggression6.7
Utility2.4
Positioning4.2
Opening Duels2.0
Clutch2.6

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8
Positioning4.2
Utility2.4
Mechanics5.6
Opening Duels2.0
Win Impact6.2

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time532ms−83ms
first ⅓ avg 615ms → last ⅓ avg 532ms
Headshot accuracy18.3%−4.1%
first ⅓ avg 22.4% → last ⅓ avg 18.3%

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

0.23Best rating — inferno 9–3
131Biggest win — office
4Longest win streak
L2Current streak
93In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2213959%0.01
infernoB21101148%-0.01
mirageB1910953%-0.01
cacheC104640%0.02
ancientB105550%0.02
nukeD61517%0.00
anubisA53260%-0.02
overpass330100%-0.00
office32167%0.02
train110100%0.16

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
64%Win rate
0.95Avg K/D
78.3ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2580%0.9916.6
Mirage367%0.7213.3
Ancient250%1.2325.5
Inferno1100%0.808.0
Overpass1100%0.9325.0
Cache10%1.0024.0
Nuke10%0.9415.0

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.

17.0%Headshot accuracy
35.4%Accuracy (enemy spotted)
41.0%Spray accuracy
75.3%Counter-strafing
7.9°Preaim
542msReaction time
30.4%T opening success
46.0%CT opening success
0.40Enemies flashed / flash
4.8%Flash assists
7.56HE damage / grenade
2.32Flashes / 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. 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 0.398 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 30.3763% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0115%18 Aug
dust22–13-0.0219%16 Aug
inferno13–11-0.0310%3 Aug
inferno10–13-0.0624%29 Jul
dust22–13-0.090%27 Jul
ancient13–8-0.0114%27 Jul
anubis13–100.0320%27 Jul
inferno16–12-0.059%26 Jul
mirage15–15-0.0415%24 Jul
cache7–13-0.0311%23 Jul
dust216–120.0115%22 Jul
ancient13–100.0718%22 Jul
dust25–13-0.0614%20 Jul
anubis15–15-0.0110%17 Jul
inferno13–11-0.056%17 Jul
mirage0–2-0.030%17 Jul
dust216–130.0438%16 Jul
dust213–8-0.0630%16 Jul
mirage13–4-0.0627%16 Jul
dust28–13-0.075%14 Jul
cache7–13-0.0314%14 Jul
dust24–13-0.0114%13 Jul
cache13–70.1538%13 Jul
ancient13–100.0414%13 Jul
cache7–13-0.0518%13 Jul
mirage3–13-0.1314%13 Jul
anubis13–80.0418%12 Jul
dust213–40.0542%12 Jul
nuke4–13-0.046%12 Jul
ancient13–20.0718%12 Jul
mirage13–100.0819%12 Jul
inferno10–13-0.0515%10 Jul
cache13–7-0.0175%9 Jul
overpass13–7-0.0118%7 Jul
mirage13–20.1125%7 Jul
mirage7–13-0.0423%6 Jul
mirage15–15-0.0335%3 Jul
ancient5–13-0.0417%2 Jul
dust216–130.0117%30 Jun
inferno15–15-0.0520%30 Jun
ancient4–130.1526%28 Jun
office12–12-0.0024%25 Jun
inferno13–50.0421%25 Jun
dust213–40.1135%23 Jun
dust27–130.0615%23 Jun
mirage13–20.0713%15 Jun
cache12–120.0629%9 Jun
office2–9-0.0150%9 Jun
inferno3–80.0932%9 Jun
inferno11–130.0312%8 Jun
dust213–11-0.0315%8 Jun
cache13–160.0322%8 Jun
ancient13–110.0119%8 Jun
ancient11–13-0.0133%7 Jun
inferno13–11-0.0524%6 Jun
mirage1–6-0.1211%6 Jun
mirage13–10-0.0516%3 Jun
office13–10.0719%2 Jun
anubis1–3-0.110%2 Jun
inferno0–13-0.120%2 Jun
dust210–13-0.0428%2 Jun
mirage13–60.0727%31 May
overpass13–10-0.0018%31 May
train13–20.1613%29 May
dust213–8-0.0318%28 May
inferno10–13-0.0417%25 May
ancient3–13-0.0622%25 May
dust213–110.0325%25 May
dust213–40.0916%24 May
mirage12–120.0520%24 May
mirage13–40.0612%24 May
cache13–90.0310%24 May
mirage13–10.0321%24 May
dust27–00.0857%24 May
mirage3–13-0.0325%23 May
inferno13–11-0.0116%22 May
anubis0–3-0.0425%22 May
dust25–130.0123%20 May
nuke8–130.1324%19 May
cache13–100.0319%19 May
nuke10–13-0.019%18 May
dust213–20.1017%18 May
nuke5–13-0.0624%18 May
inferno15–150.0915%17 May
ancient4–13-0.0312%17 May
mirage13–5-0.0017%17 May
overpass13–80.002%17 May
dust213–70.1222%16 May
nuke5–13-0.1121%14 May
mirage5–13-0.0441%14 May
mirage13–8-0.0725%12 May
dust24–130.0018%12 May
nuke9–30.1013%10 May
inferno8–8-0.0419%10 May
inferno5–9-0.1028%10 May
inferno2–9-0.0529%10 May
inferno9–7-0.0238%10 May
inferno9–20.0333%10 May
inferno9–40.0554%10 May
inferno9–30.238%10 May

Match data via Leetify.

Recent teammates

Milestones

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