xup6

xup6 — CS2 Stats

NE76561198825484014[U:1:865218286]Steam profile ↗✓ No bans

2,895Tracked matches59%Win rate2021Tracked since
2,374Hours in CS
CSDB Rating6.6 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,303 → 2,303
+1Tracked matches · now 2,895
0.0ppWin rate · 59.3% → 59.3%

Rating over time

2,303Highest Faceit ELO seen on CSDB
68Days played since 2026-02-12

Faceit ELO

  • At peak — 2,303
  • Next: 2,500 ELO at 2,500 — 197 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-24
  • Level 9 first seen 2026-09-24

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGxup6PEAK ELO2,303csdb.gg/stats

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Performance scores

Aim79
Positioning69
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateWLLWTWLTWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −2.0pp headshot accuracy · +1ms reaction

Win rate +10pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 523ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 22%
  • Avg reaction 537ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 536ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim7.9
Utility4.5
Positioning6.9
Opening Duels5.9
Clutch3.4

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.

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

donk

Plays most like donk 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9
Positioning6.9
Utility4.5
Mechanics5.8
Opening Duels5.4
Win Impact8.1

Composite 6.6/10 (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 rating0.06+0.01
first ⅓ avg 0.05 → last ⅓ avg 0.06
Reaction time555ms−40ms
first ⅓ avg 596ms → last ⅓ avg 555ms
Headshot accuracy24.5%−0.5%
first ⅓ avg 24.9% → last ⅓ avg 24.5%

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

0.23Best match rating · 13–0 · ancient, 12 Feb →
100%Best headshot accuracy · 0–13 · ancient, 26 Jul →
391msFastest reaction time · 3–13 · inferno, 15 May →
13–0Biggest win · ancient, 12 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–9In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 67% over 9vertigoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B157–847%0.06
cacheB126–650%0.06
officeB115–645%0.04
anubisS96–367%0.07
overpassA95–456%0.07
infernoB84–450%0.06
vertigoC83–538%0.06
nukeC73–443%0.05
mirageS64–267%0.03
ancient—32–167%0.05
train—21–150%0.10
alpine—20–20%0.11
warden—21–150%0.00
rush_001—11–0100%-0.06
debris—10–10%0.10
shelter—10–10%0.08
boulder—11–0100%0.08
poseidon—11–0100%0.15
stronghold—10–10%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

104,608Lifetime kills
1.23K/D · Top 25% of tracked players
4,582Matches
55.8%Match win rate · Top 5% of tracked players
51.8%Headshot % · Top 25% of tracked players
10.7%Shot accuracy
18,538MVPs
2,374Hours (in match)
6,407Bombs planted
968Bombs defused

Most-used weapons

AK-4739,568
AWP8,516
FAMAS3,583
MAC-102,822
MP92,142

Lifetime map wins

5,457inferno
4,895vertigo
4,750dust2
3,814nuke
3,181office
1,326train
177cbble
128italy

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

Faceit stats

Combat

654Matches
51%Win rate
1.13Avg K/D
85.3ADR
50%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis18053%1.1617.4
Ancient10247%1.0816.8
Vertigo8755%1.1118.4
Dust27541%1.0316.2
Inferno6260%1.1818.6
Nuke4238%1.0716.1
Mirage3946%0.9515.7
Overpass944%1.0716.3

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.

24.6%Headshot accuracy
35.6%Accuracy (enemy spotted)
39.0%Spray accuracy
76.2%Counter-strafing
10.4°Preaim
548msReaction time
43.4%T opening success
59.7%CT opening success
0.57Enemies flashed / flash
6.1%Flash assists
8.66HE damage / grenade
4.77Flashes / match

Recommended for you

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
rush_0018–5-0.060%1 Oct →
anubis10–13-0.0322%7 Sept →
anubis4–130.0716%3 Sept →
dust213–40.2129%30 Aug →
nuke12–120.0727%29 Aug →
inferno13–80.1320%25 Aug →
debris7–90.1024%23 Aug →
office12–120.0733%23 Aug →
vertigo13–1-0.0317%19 Aug →
overpass7–40.1435%17 Aug →
vertigo12–120.1215%17 Aug →
train13–70.0936%17 Aug →
vertigo8–130.0526%16 Aug →
mirage13–60.0622%15 Aug →
cache7–130.0630%15 Aug →
cache11–130.0626%12 Aug →
cache13–100.0224%11 Aug →
anubis13–60.0318%11 Aug →
cache8–130.0617%10 Aug →
dust28–130.0330%9 Aug →
shelter8–130.0826%5 Aug →
boulder13–60.0815%3 Aug →
dust29–130.0020%27 Jul →
ancient0–13-0.06100%26 Jul →
mirage13–3-0.0214%26 Jul →
anubis13–80.1219%26 Jul →
ancient13–11-0.0118%26 Jul →
mirage13–70.0622%24 Jul →
dust213–100.0324%23 Jul →
mirage13–50.1320%22 Jul →
cache13–40.0721%7 Jul →
train10–130.1021%21 Jun →
office12–120.0120%17 Jun →
dust213–30.1828%17 Jun →
overpass11–130.1022%16 Jun →
overpass12–40.1215%15 Jun →
anubis12–120.0521%15 Jun →
poseidon9–50.1526%9 Jun →
office13–50.0624%8 Jun →
vertigo13–110.0521%5 Jun →
inferno13–50.1631%1 Jun →
anubis13–70.0822%29 May →
overpass0–10-0.0315%29 May →
anubis13–70.1515%28 May →
office13–3-0.0526%22 May →
alpine8–130.1420%20 May →
mirage7–130.0025%20 May →
dust20–60.0233%20 May →
office11–130.0945%18 May →
cache13–80.0518%18 May →
dust211–130.0720%17 May →
cache11–130.0620%17 May →
nuke13–100.0427%16 May →
cache7–130.0331%16 May →
cache13–70.2018%15 May →
mirage7–13-0.0720%15 May →
inferno3–130.0414%15 May →
cache13–10.0621%14 May →
dust25–130.0931%12 May →
cache12–120.0427%12 May →
cache13–70.0427%10 May →
overpass13–50.1525%18 Apr →
nuke13–100.0222%13 Apr →
inferno13–3-0.0322%12 Apr →
inferno6–130.0732%11 Apr →
inferno13–90.0523%11 Apr →
anubis13–70.0013%11 Apr →
inferno11–130.0730%10 Apr →
dust212–120.0723%10 Apr →
dust21–13-0.0026%9 Apr →
vertigo7–130.1247%6 Apr →
vertigo4–50.1017%2 Apr →
office5–13-0.0040%29 Mar →
dust213–50.0812%21 Mar →
nuke13–50.0626%21 Mar →
warden13–7-0.0122%20 Mar →
office13–100.1126%19 Mar →
alpine8–130.0922%17 Mar →
office13–90.0928%17 Mar →
office12–120.0522%16 Mar →
nuke8–130.0514%15 Mar →
overpass13–70.0528%13 Mar →
overpass13–50.0224%13 Mar →
office12–120.0129%11 Mar →
dust213–110.0917%9 Mar →
inferno1–6-0.0044%4 Mar →
office13–11-0.0018%2 Mar →
warden9–130.0121%2 Mar →
vertigo13–100.0222%28 Feb →
dust213–80.1119%28 Feb →
dust212–30.0130%25 Feb →
anubis13–40.1445%25 Feb →
nuke4–130.0412%25 Feb →
stronghold5–13-0.0515%18 Feb →
nuke12–120.0628%18 Feb →
dust21–13-0.0323%16 Feb →
overpass6–130.0727%16 Feb →
vertigo2–130.0129%15 Feb →
overpass11–130.0217%12 Feb →
ancient13–00.2322%12 Feb →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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