tridungsongtoan

tridungsongtoan — CS2 Stats

CH76561199029012154[U:1:1068746426]Steam profile ↗✓ No bans

125Tracked matches56%Win rate2026Tracked since
433Hours in CS25Hrs last 2 wks
CSDB Rating3.0 Learning
Premier CS Rating5,897Light Blue band · top ~74.5% of ranked players (population est.)
CSDB Leaderboard#43655 of 57520 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=1,554), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate39.8%39.9%41.5%1.7% short
Shot accuracy7.9%6.3%9.1%1.2% short
Kill/death ratio0.570.910.980.40 short
Match win rate30.3%42.1%43.7%13.4% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtridungsongtoanPREMIER5,897 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim26
Positioning36
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY42526Last 10042%Win rateWLLLWLTWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim2.6
Aggression3.3
Utility5.1
Positioning3.6
Opening Duels0.0
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 69% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Reaction time. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.6
Positioning3.6
Utility5.1
Mechanics2.6
Opening Duels0.1
Win Impact6.9

Composite 3.0/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time627ms−106ms
first ⅓ avg 733ms → last ⅓ avg 627ms
Headshot accuracy13.7%+2.8%
first ⅓ avg 10.8% → last ⅓ avg 13.7%

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

0.12Best rating — inferno 8–13
131Biggest win — mirage
5Longest win streak
34In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 52% over 33ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB33171652%-0.04
infernoB30141647%-0.05
dust2C2381535%-0.05
ancientD62433%-0.06
overpass3030%-0.04
cache2020%-0.08
anubis21150%0.01
train1010%-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,438Lifetime kills
0.57K/D
637Matches
30.3%Match win rate
39.8%Headshot %
7.9%Shot accuracy · Top 50% of Light Blue band
854MVPs
251Hours (in match)
345Bombs planted
43Bombs defused

Most-used weapons

Lifetime map wins

1,110inferno
761dust2
130train
76nuke
76vertigo
27safehouse
25cbble
20office

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

Faceit stats

Combat

4Matches
50%Win rate
0.50Avg K/D
56.7ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21100%0.6210.0
Ancient10%0.295.0
Inferno10%0.5610.0
Mirage1100%0.5511.0

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.

14.4%Headshot accuracy
28.6%Accuracy (enemy spotted)
29.9%Spray accuracy
61.6%Counter-strafing
11.8°Preaim
633msReaction time
21.8%T opening success
30.7%CT opening success
0.45Enemies flashed / flash
3.5%Flash assists
7.53HE damage / grenade
12.57Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.4114% — below the 15% mark we flag

    Aim Training
  2. 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 0.451 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 21.8051% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.0623%28 Aug
dust26–130.0733%28 Aug
inferno8–130.1228%28 Aug
cache4–13-0.0714%28 Aug
mirage13–11-0.0312%28 Aug
mirage11–13-0.1016%27 Aug
ancient15–15-0.057%27 Aug
mirage13–9-0.057%27 Aug
inferno13–10-0.066%26 Aug
dust213–7-0.0818%26 Aug
ancient15–15-0.0215%26 Aug
ancient13–9-0.0218%25 Aug
dust210–13-0.0911%25 Aug
inferno13–60.0110%25 Aug
mirage10–13-0.046%23 Aug
dust27–13-0.109%22 Aug
mirage13–6-0.047%22 Aug
dust212–12-0.1023%21 Aug
mirage10–13-0.0513%21 Aug
inferno5–13-0.129%20 Aug
dust27–13-0.0233%19 Aug
anubis16–130.0821%19 Aug
mirage13–20.0627%19 Aug
inferno13–9-0.036%18 Aug
dust213–7-0.0011%18 Aug
inferno13–3-0.033%17 Aug
mirage0–13-0.1111%17 Aug
mirage13–10.0611%17 Aug
inferno9–13-0.119%16 Aug
inferno13–40.0116%15 Aug
mirage13–10-0.035%15 Aug
dust215–15-0.0813%13 Aug
inferno4–9-0.180%12 Aug
mirage13–9-0.0517%12 Aug
inferno13–50.0115%12 Aug
dust25–13-0.0918%12 Aug
dust23–13-0.0712%12 Aug
dust215–12-0.019%12 Aug
mirage13–6-0.049%10 Aug
dust29–13-0.0813%10 Aug
dust27–13-0.0514%9 Aug
ancient13–6-0.052%9 Aug
inferno7–13-0.047%29 Jul
mirage13–4-0.0512%29 Jul
dust23–13-0.1111%29 Jul
anubis10–13-0.0612%28 Jul
cache6–13-0.0817%28 Jul
dust213–50.0017%28 Jul
mirage15–15-0.0813%27 Jul
inferno2–13-0.105%26 Jul
mirage7–13-0.108%26 Jul
mirage3–13-0.0414%26 Jul
mirage13–30.0114%26 Jul
inferno10–13-0.0213%25 Jul
mirage13–3-0.0111%23 Jul
ancient5–13-0.1110%21 Jul
inferno11–8-0.0715%21 Jul
dust23–10-0.0840%21 Jul
inferno9–2-0.0113%21 Jul
mirage13–16-0.0619%18 Jul
inferno7–9-0.084%6 Jul
dust24–13-0.0514%6 Jul
inferno11–13-0.085%5 Jul
mirage9–13-0.106%5 Jul
inferno13–10-0.098%3 Jul
mirage10–13-0.048%3 Jul
ancient0–13-0.0914%3 Jul
mirage13–11-0.0111%2 Jul
dust23–13-0.0811%2 Jul
overpass9–13-0.056%1 Jul
inferno5–9-0.0213%1 Jul
inferno5–9-0.0414%1 Jul
inferno3–9-0.070%1 Jul
inferno7–9-0.0538%1 Jul
mirage13–4-0.0611%28 Jun
mirage9–13-0.068%23 Jun
dust213–7-0.059%23 Jun
mirage9–13-0.096%21 Jun
inferno13–10-0.0015%21 Jun
inferno13–4-0.0412%18 Jun
dust213–7-0.0217%18 Jun
mirage9–13-0.058%16 Jun
overpass9–13-0.0511%16 Jun
mirage10–13-0.1011%15 Jun
inferno1–13-0.1013%13 Jun
mirage13–11-0.089%13 Jun
inferno13–80.045%12 Jun
train9–13-0.114%11 Jun
dust213–7-0.0614%11 Jun
dust25–13-0.0219%11 Jun
mirage10–13-0.037%11 Jun
inferno3–13-0.096%8 Jun
dust212–12-0.085%7 Jun
mirage13–90.0514%7 Jun
inferno13–5-0.066%5 Jun
overpass1–13-0.0211%5 Jun
mirage4–13-0.0716%5 Jun
inferno4–13-0.0913%3 Jun
mirage13–10-0.0210%3 Jun
inferno13–8-0.047%3 Jun

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 →