underpaid.json

underpaid.json — CS2 Stats

UA76561198401569200[U:1:441303472]Steam profile ↗

606Tracked matches63%Win rate2023Tracked since
973Hours in CS1Hrs last 2 wks
CSDB Rating4.9 Developing
FaceitLevel 6 · 1,055 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate45.4%44.7%46.1%meets
Shot accuracy5.1%11.9%12.6%7.5% short
Kill/death ratio0.781.041.050.27 short
Match win rate35.8%45.2%45.7%9.9% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGunderpaid.jsonFACEITLevel 6 · 1,055 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning50
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateLWWLLWWLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim5.8
Aggression5.2
Utility6.2
Positioning5.0
Opening Duels1.3
Clutch3.4

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 589ms 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

Aim5.8
Positioning5.0
Utility6.2
Mechanics4.8
Opening Duels1.3
Win Impact9.4

Composite 4.9/10 (Developing), 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 rating0.04+0.04
first ⅓ avg -0.00 → last ⅓ avg 0.04
Reaction time623ms−25ms
first ⅓ avg 648ms → last ⅓ avg 623ms
Headshot accuracy16.0%−1.0%
first ⅓ avg 17.0% → last ⅓ avg 16.0%

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

0.27Best rating — inferno 9–0
132Biggest win — dust2
5Longest win streak
711In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 64% over 22ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B25131252%0.01
infernoA2214864%0.05
nukeB1991047%0.03
mirageA1810856%0.02
ancientD62433%-0.01
vertigo42250%0.02
cache31233%0.01
overpass1010%-0.05
train1010%0.04
poseidon1010%-0.24

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

26,067Lifetime kills
0.78K/D
1,583Matches
35.8%Match win rate
45.4%Headshot % · Top 50% of Level 6 players
5.1%Shot accuracy
3,089MVPs
550Hours (in match)
1,482Bombs planted
248Bombs defused

Most-used weapons

Lifetime map wins

3,147dust2
1,702inferno
1,198nuke
571train
138vertigo
26cbble
8office
7italy

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

Faceit stats

Combat

380Matches
50%Win rate
1.11Avg K/D
79.8ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust211543%1.0515.7
Mirage10751%1.2715.8
Inferno5556%1.1015.0
Nuke4358%1.1217.1
Ancient3444%0.9415.9
Anubis757%1.4015.6
Cache333%1.0320.3
Train2100%2.0821.0

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.

16.9%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.5%Spray accuracy
71.6%Counter-strafing
11.6°Preaim
589msReaction time
30.0%T opening success
40.5%CT opening success
0.60Enemies flashed / flash
7.4%Flash assists
8.09HE damage / grenade
9.64Flashes / 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 29.9999% — 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
inferno10–13-0.0119%14 Aug
nuke13–80.0218%10 Aug
inferno13–60.0820%7 Aug
vertigo14–160.0117%6 Aug
ancient11–13-0.0012%5 Aug
dust213–50.0516%4 Aug
dust213–40.0116%1 Aug
dust28–130.0117%31 Jul
mirage13–9-0.0011%31 Jul
nuke13–80.1315%31 Jul
mirage13–70.0716%31 Jul
nuke13–60.0214%29 Jul
mirage13–10-0.0417%26 Jul
mirage4–13-0.0116%26 Jul
dust212–16-0.0214%23 Jul
dust25–13-0.0722%21 Jul
mirage13–60.057%21 Jul
nuke16–120.0219%16 Jul
mirage13–50.0628%16 Jul
inferno8–80.0313%14 Jul
nuke9–10.257%14 Jul
inferno6–1-0.047%14 Jul
inferno9–70.0814%14 Jul
nuke9–20.0612%14 Jul
nuke5–9-0.0711%14 Jul
dust213–90.0414%13 Jul
mirage9–13-0.0315%13 Jul
mirage13–30.2019%13 Jul
dust213–40.0221%12 Jul
inferno9–70.0113%12 Jul
inferno9–30.0113%12 Jul
inferno9–20.2438%12 Jul
nuke9–13-0.0016%12 Jul
nuke13–80.0119%5 Jul
inferno13–10-0.0123%1 Jul
cache13–40.0222%1 Jul
cache6–130.0523%1 Jul
nuke8–130.0312%25 Jun
dust213–8-0.0210%25 Jun
vertigo4–9-0.0910%24 Jun
inferno9–30.0310%24 Jun
overpass4–9-0.0520%24 Jun
mirage4–130.0116%23 Jun
mirage13–50.0211%21 Jun
nuke11–130.026%19 Jun
dust211–130.0514%19 Jun
ancient5–130.000%18 Jun
train11–130.0413%17 Jun
mirage13–10-0.0116%14 Jun
inferno11–130.1121%13 Jun
mirage13–40.0520%12 Jun
dust213–20.1515%11 Jun
ancient6–13-0.0610%11 Jun
dust213–30.0624%11 Jun
vertigo13–100.0911%8 Jun
vertigo13–30.0818%8 Jun
dust213–60.0529%4 Jun
mirage6–13-0.0116%4 Jun
nuke13–10-0.009%3 Jun
mirage9–13-0.0219%1 Jun
mirage11–130.0513%28 May
inferno9–70.0412%26 May
nuke5–9-0.0621%26 May
inferno3–9-0.0119%26 May
nuke9–40.1521%26 May
nuke7–90.0017%26 May
nuke4–90.1316%26 May
inferno4–13-0.0213%25 May
mirage10–13-0.0716%25 May
poseidon2–9-0.2450%20 May
inferno4–9-0.083%20 May
inferno9–20.2025%20 May
inferno9–00.278%20 May
ancient13–11-0.006%20 May
nuke10–13-0.0320%19 May
inferno6–9-0.0911%19 May
nuke2–13-0.0614%18 May
dust210–13-0.0123%18 May
dust23–13-0.084%13 May
dust216–140.0518%9 May
cache8–13-0.0514%7 May
mirage19–150.0316%7 May
inferno10–130.0017%6 May
inferno9–70.047%5 May
ancient11–130.0312%1 May
dust27–13-0.0626%29 Apr
dust213–16-0.0316%24 Apr
dust216–140.1120%24 Apr
dust213–50.0320%23 Apr
dust29–13-0.0229%23 Apr
dust27–13-0.1016%21 Apr
nuke6–130.0124%20 Apr
inferno16–130.0313%16 Apr
mirage9–13-0.0212%15 Apr
ancient13–90.0013%14 Apr
inferno13–100.0919%9 Apr
dust211–130.0119%8 Apr
dust213–3-0.0227%7 Apr
dust213–90.0616%6 Apr
dust211–13-0.0616%2 Apr

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 →