Upox

Upox — CS2 Stats

SE76561198040480739[U:1:80215011]Steam profile ↗✓ No bans

473Tracked matches56%Win rate2020Tracked since
2,921Hours in CS3Hrs last 2 wks
CSDB Rating5.9 SolidClutch Specialist
CSDB Leaderboard#62650 of 259013 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,534 -3,120 1 Mar – 8 Oct · 14 days played
19,61925,508peak 25,5081 Mar8 Oct
25,508Peak Premier in tracked matches
70Days played since 2024-11-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate46.9%46.8%48.2%1.3% short
Shot accuracy19.2%13.0%13.2%above
Kill/death ratio1.211.061.07above
Match win rate50.2%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUpoxFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning56
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLWWWWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +6.3pp headshot accuracy · −31ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 623ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 599ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 615ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim7.4
Utility3.1
Positioning5.6
Opening Duels3.4
Clutch6.0

Effective flashesLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

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. 615ms 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

Aim7.4
Positioning5.6
Utility3.1
Mechanics7.8
Opening Duels2.7
Win Impact6.9

Composite 5.9/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time609ms+2ms
first ⅓ avg 607ms → last ⅓ avg 609ms
Headshot accuracy18.6%+0.5%
first ⅓ avg 18.1% → last ⅓ avg 18.6%

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.

Personal bests

0.22Best match rating · 13–6 · basalt, 24 Nov →
43%Best headshot accuracy · 8–8 · inferno, 30 Nov →
406msFastest reaction time · 0–4 · overpass, 21 Nov →
13–2Biggest win · inferno, 11 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 86% over 14dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC3616–2044%0.00
nukeD144–1029%0.01
ancientS1412–286%0.02
overpassC94–544%-0.00
mirageB63–350%0.02
dust2D50–50%-0.01
trainC52–340%-0.01
anubis—32–167%-0.01
grail—31–233%0.01
shelter—11–0100%0.04
brewery—11–0100%0.18
edin—10–10%-0.04
palais—10–10%-0.03
basalt—11–0100%0.22

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,564Lifetime kills
1.21K/D · Top 25% of Level 8 players
3,774Matches
50.2%Match win rate · Top 25% of Level 8 players
46.9%Headshot % · Top 50% of Level 8 players
19.2%Shot accuracy · Top 5% of Level 8 players
10,907MVPs
1,987Hours (in match)
3,427Bombs planted
1,093Bombs defused

Most-used weapons

AK-4739,727
AWP20,142
P2503,293
Tec-91,915
MAG-71,554

Lifetime map wins

13,591inferno
5,922dust2
2,984train
2,008nuke
1,042cbble
324vertigo
168lake
84office

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

Faceit stats

Combat

556Matches
53%Win rate
1.29Avg K/D
66.2ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage862%1.3116.3
Inferno667%1.1921.2
Anubis40%0.6210.0
Nuke425%1.2218.5
Vertigo20%0.7410.0
Ancient1100%2.7119.0
Dust210%0.447.0
Overpass1100%0.7915.0

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.

17.8%Headshot accuracy
36.0%Accuracy (enemy spotted)
36.3%Spray accuracy
84.9%Counter-strafing
9.3°Preaim
615msReaction time
42.0%T opening success
39.3%CT opening success
0.80Enemies flashed / flash
6.8%Flash assists
13.06HE damage / grenade
4.89Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.2775% — below the 40% mark we flag

Spend your practice time on Dust 2

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0018%9 Oct →
shelter13–30.0420%2 Aug →
inferno13–60.0521%23 Jun →
inferno13–60.0524%12 Feb →
inferno13–7-0.0317%10 Feb →
inferno11–130.0322%2 Feb →
inferno13–5-0.0118%8 Oct →
nuke9–13-0.0220%8 Oct →
ancient13–50.0815%7 Oct →
dust23–13-0.0941%3 Oct →
nuke11–130.029%3 Oct →
overpass13–80.0416%3 Oct →
mirage13–80.0617%3 Oct →
dust215–150.029%2 Oct →
ancient13–110.0211%1 Oct →
mirage4–130.0011%30 Sept →
overpass13–80.0023%29 Sept →
nuke13–110.0019%28 Sept →
inferno13–80.0423%26 Sept →
inferno3–13-0.0813%21 Sept →
nuke13–3-0.0122%16 Sept →
mirage6–13-0.029%9 Sept →
inferno15–150.0312%5 Sept →
inferno13–50.0215%28 Aug →
inferno12–12-0.0522%20 Aug →
ancient13–10-0.0023%18 Aug →
overpass7–13-0.0115%17 Aug →
nuke6–130.0519%16 Aug →
dust26–13-0.0225%13 Aug →
mirage4–130.0516%13 Aug →
nuke8–13-0.0222%11 Aug →
inferno13–8-0.0228%11 Aug →
inferno7–130.0120%6 Aug →
train7–13-0.0513%20 Jul →
inferno8–13-0.0627%16 Jul →
nuke7–130.0026%15 Jul →
brewery9–30.1815%13 Jul →
inferno7–13-0.0415%12 Jul →
inferno13–11-0.0228%11 Jul →
anubis8–13-0.0610%10 Jul →
overpass13–50.0519%8 Jul →
ancient9–13-0.0132%7 Jul →
inferno13–10-0.0315%2 Jul →
inferno13–60.0633%2 Jul →
grail7–13-0.0419%2 Jul →
grail8–13-0.0116%2 Jul →
inferno13–110.0119%30 Jun →
nuke7–90.0116%23 Jun →
inferno2–9-0.0421%23 Jun →
inferno12–120.059%17 Jun →
inferno13–50.0615%12 Jun →
inferno3–10-0.0115%3 Jun →
grail13–60.0920%11 May →
inferno5–13-0.0422%22 Apr →
edin5–13-0.0411%13 Apr →
palais7–9-0.0320%11 Apr →
ancient13–50.0914%11 Apr →
mirage13–7-0.0214%11 Apr →
inferno9–130.0523%11 Apr →
overpass11–130.0120%7 Apr →
overpass13–70.0324%6 Apr →
ancient13–4-0.0132%6 Apr →
nuke4–13-0.0121%6 Apr →
nuke13–80.0220%30 Mar →
inferno0–13-0.0631%30 Mar →
dust26–130.0631%29 Mar →
inferno11–130.0320%27 Mar →
inferno9–13-0.0211%19 Mar →
nuke10–130.0431%17 Mar →
inferno13–40.0328%17 Mar →
ancient13–11-0.0314%12 Mar →
anubis13–11-0.0215%12 Mar →
inferno4–13-0.0427%12 Mar →
overpass12–120.0627%10 Mar →
nuke8–130.0220%10 Mar →
ancient13–100.0214%6 Mar →
ancient16–14-0.0418%3 Mar →
nuke13–80.0521%2 Mar →
ancient3–13-0.0415%2 Mar →
anubis13–110.0316%1 Mar →
mirage13–60.0414%1 Mar →
ancient13–3-0.0315%28 Feb →
inferno2–13-0.0812%28 Feb →
ancient13–50.1025%28 Feb →
inferno6–130.0413%16 Feb →
ancient13–30.0224%11 Feb →
inferno13–20.0119%11 Feb →
train13–70.0223%10 Dec →
overpass6–9-0.1013%4 Dec →
nuke8–8-0.083%2 Dec →
inferno9–30.1126%2 Dec →
ancient13–20.0418%2 Dec →
inferno13–60.0420%1 Dec →
train13–50.1118%1 Dec →
inferno8–8-0.0143%30 Nov →
train3–13-0.073%30 Nov →
basalt13–60.2226%24 Nov →
overpass0–4-0.090%21 Nov →
train8–13-0.049%21 Nov →
inferno11–130.0019%20 Nov →

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 →

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