Tong Dong — CS2 Stats

76561198130415578[U:1:170149850]

482Tracked matches57%Win rate2020Tracked since
2,825Hours in CS14Hrs last 2 wks
CSDB Rating6.4 SolidAggressive Rifler
Premier CS Rating15,535Purple band · top ~26.3% of ranked players (population est.)
CSDB Leaderboard#30868 of 52936 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate38.3%44.2%47.1%8.8% short
Shot accuracy17.2%11.6%12.8%above
Kill/death ratio1.091.031.08meets
Match win rate37.6%45.2%46.6%9.0% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGTong DongPREMIER15,535 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning62
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY56422Last 10056%Win rateLWWWWWLLLW

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

Player DNA

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

Aim8.3
Aggression8.3
Utility2.8
Positioning6.2
Opening Duels3.8
Clutch0.0

Limited 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 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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.

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

Aim8.3
Positioning6.2
Utility2.8
Mechanics7.6
Opening Duels3.8
Win Impact7.2

Composite 6.4/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time535ms−63ms
first ⅓ avg 598ms → last ⅓ avg 535ms
Headshot accuracy14.8%−2.9%
first ⅓ avg 17.7% → last ⅓ avg 14.8%

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

0.22Best rating — nuke 13–1
130Biggest win — ancient
5Longest win streak
75In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 70% over 20infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A29161355%0.03
mirageB26121446%0.02
nukeS2014670%0.05
ancientS107370%0.01
infernoC83538%-0.00
cacheC52340%0.03
anubis110100%0.01
train110100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,207Lifetime kills
1.09K/D · Top 50% of Purple band
2,978Matches
37.6%Match win rate
38.3%Headshot %
17.2%Shot accuracy · Top 25% of Purple band
5,304MVPs
895Hours (in match)
2,071Bombs planted
558Bombs defused

Most-used weapons

AK-4710,226
AWP8,829
P902,109
MP91,026
MP7972

Lifetime map wins

9,361dust2
1,471nuke
700inferno
605lake
349bank
330safehouse
143train
139vertigo

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

Faceit stats

Combat

14Matches
57%Win rate
1.26Avg K/D
85.7ADR
49%Headshot %

Clutches & streaks

15%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage475%1.2918.3
Dust2450%1.5021.0
Cache250%1.4212.5
Ancient250%1.1218.5
Nuke10%0.547.0
Inferno1100%0.9211.0

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.

15.9%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.2%Spray accuracy
84.1%Counter-strafing
8.0°Preaim
526msReaction time
43.6%T opening success
46.5%CT opening success
0.52Enemies flashed / flash
2.0%Flash assists
5.85HE damage / grenade
4.61Flashes / match

Recommended for you

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–130.0826%29 Aug
ancient13–80.0131%29 Aug
ancient13–00.096%28 Aug
dust213–110.0322%28 Aug
nuke13–5-0.0111%28 Aug
inferno16–120.0311%28 Aug
inferno7–13-0.0026%28 Aug
nuke13–16-0.0114%27 Aug
mirage1–5-0.000%26 Aug
dust213–80.109%26 Aug
mirage3–13-0.039%22 Aug
dust27–13-0.0123%22 Aug
nuke13–80.0217%21 Aug
dust29–13-0.0314%21 Aug
cache3–13-0.0910%12 Aug
nuke13–70.0530%12 Aug
mirage16–120.0917%12 Aug
nuke1–13-0.049%9 Aug
dust213–90.0315%20 Jul
dust213–60.0316%6 Jul
mirage10–13-0.0416%26 Jun
mirage9–130.1114%17 Jun
nuke13–110.207%13 Jun
dust213–80.0121%13 Jun
dust213–90.0317%14 May
inferno12–16-0.0417%13 May
inferno13–10-0.049%11 May
mirage7–130.0217%8 May
nuke13–70.1013%6 May
ancient16–12-0.0414%6 May
dust213–40.1212%6 May
dust213–5-0.029%6 May
inferno10–130.008%5 May
ancient13–40.1215%5 May
nuke13–90.0919%5 May
nuke0–13-0.0217%4 May
dust211–13-0.0416%4 May
nuke12–12-0.0510%3 May
mirage10–13-0.0513%3 May
nuke6–130.0314%2 May
cache13–50.149%1 May
inferno8–13-0.0511%30 Apr
nuke13–110.0716%30 Apr
dust25–130.1123%29 Apr
nuke16–140.1020%29 Apr
cache9–130.0835%29 Apr
cache13–30.1111%28 Apr
mirage13–40.0510%28 Apr
anubis16–140.018%28 Apr
dust213–90.1424%27 Apr
train13–110.0420%27 Apr
dust212–160.0315%27 Apr
cache2–13-0.0713%26 Apr
mirage6–13-0.029%26 Apr
mirage13–100.0716%25 Apr
mirage5–13-0.0115%24 Apr
ancient13–10-0.039%24 Apr
dust25–130.0213%23 Apr
mirage13–80.1023%23 Apr
mirage13–90.0117%23 Apr
dust213–8-0.0126%22 Apr
nuke13–50.0920%22 Apr
nuke4–130.0517%22 Apr
dust24–13-0.0219%22 Apr
dust213–90.0212%22 Apr
dust28–13-0.0525%22 Apr
nuke13–110.0618%21 Apr
mirage13–90.1219%21 Apr
mirage13–10.1450%21 Apr
inferno13–70.0321%20 Apr
dust213–50.0517%20 Apr
mirage3–13-0.043%18 Apr
dust213–16-0.049%18 Apr
ancient13–8-0.0618%18 Apr
dust215–15-0.0516%17 Apr
mirage13–40.0319%16 Apr
mirage6–0-0.0120%16 Apr
mirage7–13-0.0213%15 Apr
dust213–20.0917%15 Apr
dust213–70.067%15 Apr
dust213–40.0311%14 Apr
mirage13–30.0720%14 Apr
dust211–13-0.0018%13 Apr
nuke13–10.2222%13 Apr
mirage14–160.0219%12 Apr
nuke13–90.0218%11 Apr
dust211–130.1017%11 Apr
mirage6–130.0015%11 Apr
ancient13–80.059%11 Apr
dust211–13-0.0219%10 Apr
nuke16–130.1320%10 Apr
dust213–60.0423%10 Apr
mirage6–13-0.017%10 Apr
ancient6–13-0.0118%9 Apr
ancient10–130.0118%9 Apr
ancient1–13-0.0311%9 Apr
mirage6–130.0026%9 Apr
mirage13–9-0.017%8 Apr
nuke13–100.0033%8 Apr
mirage13–6-0.0127%8 Apr

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 →