Tpop

Tpop — CS2 Stats

US76561198263757125[U:1:303491397]Steam profile ↗✓ No bans

2,202Tracked matches55%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPassive Rifler
Premier CS Rating18,052Purple band · top ~16.3% of ranked players (population est.)
CSDB Leaderboard#25172 of 51904 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTpopFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,052 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning44
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateLWWWWLLLLL

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

Player DNA

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

Aim6.3
Aggression3.4
Utility2.9
Positioning4.4
Opening Duels0.0
Clutch4.0

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

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 600ms 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
Positioning4.4
Utility2.9
Mechanics8.4
Opening Duels0.0
Win Impact6.7

Composite 5.1/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time603ms−4ms
first ⅓ avg 607ms → last ⅓ avg 603ms
Headshot accuracy12.6%−0.8%
first ⅓ avg 13.4% → last ⅓ avg 12.6%

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

0.19Best rating — mirage 13–6
130Biggest win — dust2
4Longest win streak
82In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB26121446%0.02
dust2A2112957%-0.00
nukeC156940%-0.01
ancientC156940%-0.01
infernoB105550%-0.01
anubisA53260%0.02
overpass43175%0.03
cache2020%-0.00
office110100%0.04
train110100%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

888Matches
49%Win rate
1.02Avg K/D
79.2ADR
31%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6565%1.2416.6
Ancient3033%0.9915.1
Inferno2941%1.2215.8
Dust22861%1.2515.2
Anubis1656%1.1816.5
Nuke1553%0.9714.0
Vertigo1457%1.4319.1
Train729%0.9816.0

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.

12.6%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.6%Spray accuracy
87.9%Counter-strafing
11.0°Preaim
600msReaction time
29.0%T opening success
28.3%CT opening success
0.31Enemies flashed / flash
2.9%Flash assists
9.74HE damage / grenade
2.03Flashes / 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 12.6199% — 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 0.3112 — 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 29.0123% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–130.0210%27 Aug
mirage13–110.0117%20 Aug
dust213–80.067%19 Aug
mirage16–140.056%17 Aug
mirage13–30.0523%17 Aug
dust21–130.0519%9 Aug
mirage9–13-0.0414%8 Aug
inferno4–9-0.1912%8 Aug
nuke7–13-0.047%4 Aug
mirage8–130.0113%4 Aug
dust216–13-0.0412%3 Aug
anubis9–130.0014%2 Aug
nuke15–15-0.0313%1 Aug
mirage10–13-0.013%25 Jul
inferno13–7-0.027%25 Jul
mirage13–60.1913%18 Jul
office13–90.046%18 Jul
nuke9–130.0314%18 Jul
train13–10.108%18 Jul
mirage13–30.1514%18 Jul
nuke13–60.019%16 Jul
cache7–13-0.0014%16 Jul
inferno13–40.0712%16 Jul
dust22–130.0320%16 Jul
dust213–70.0419%15 Jul
inferno7–13-0.0215%13 Jul
dust213–50.0420%13 Jul
mirage13–7-0.0115%12 Jul
nuke13–11-0.0813%12 Jul
mirage8–13-0.0023%12 Jul
ancient7–13-0.0310%12 Jul
mirage13–10-0.017%10 Jul
nuke13–11-0.0310%10 Jul
dust213–8-0.048%10 Jul
anubis4–130.0514%10 Jul
nuke10–13-0.0212%10 Jul
nuke13–90.058%9 Jul
cache6–13-0.0010%9 Jul
dust22–13-0.0416%9 Jul
ancient9–13-0.008%5 Jul
nuke14–16-0.0112%5 Jul
anubis16–13-0.027%5 Jul
dust215–15-0.039%5 Jul
overpass13–90.0516%5 Jul
inferno2–11-0.0614%4 Jul
overpass13–100.039%1 Jul
mirage6–130.0216%1 Jul
mirage2–13-0.063%1 Jul
dust213–110.0420%1 Jul
mirage7–10.0127%1 Jul
mirage10–130.059%30 Jun
anubis13–10.0712%30 Jun
inferno13–50.008%30 Jun
mirage7–13-0.0313%29 Jun
mirage15–150.018%29 Jun
overpass13–110.077%29 Jun
ancient9–13-0.0112%29 Jun
mirage6–130.0018%29 Jun
mirage2–13-0.055%29 Jun
dust213–4-0.018%28 Jun
dust29–13-0.0210%28 Jun
dust213–50.0214%28 Jun
nuke4–13-0.0616%28 Jun
ancient13–60.0313%28 Jun
inferno3–13-0.095%28 Jun
dust213–6-0.025%28 Jun
dust213–9-0.0210%27 Jun
ancient13–110.047%27 Jun
mirage9–13-0.009%27 Jun
mirage13–100.1211%27 Jun
dust213–00.0433%27 Jun
ancient8–130.018%24 Jun
ancient13–11-0.0410%21 Jun
inferno13–100.0410%21 Jun
nuke8–13-0.0217%20 Jun
ancient13–8-0.0410%20 Jun
ancient4–130.0210%19 Jun
nuke13–20.0517%19 Jun
ancient7–130.037%19 Jun
nuke8–13-0.0011%12 Jun
dust210–13-0.0214%10 Jun
mirage8–13-0.0415%27 May
overpass9–13-0.0511%26 May
nuke13–70.0219%26 May
dust213–5-0.0527%25 May
anubis13–7-0.024%24 May
dust214–16-0.0117%23 May
mirage16–130.1220%22 May
ancient5–13-0.0522%21 May
ancient13–16-0.039%20 May
inferno13–40.169%20 May
dust213–160.0114%17 May
mirage10–13-0.0112%17 May
ancient13–70.0415%17 May
ancient6–13-0.083%17 May
mirage13–60.0711%17 May
dust25–13-0.049%16 May
inferno10–13-0.037%16 May
mirage6–1-0.0333%16 May
ancient13–100.0110%16 May

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 →