Uniup

Uniup — CS2 Stats

FI76561198084907770[U:1:124642042]Steam profile ↗✓ No bans

1,061Tracked matches43%Win rate2020Tracked since
1,633Hours in CS
CSDB Rating4.9 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,958 +1,959 7 Apr – 22 Feb · 24 days played
14,99918,994peak 18,9947 Apr22 Feb
18,994Peak Premier in tracked matches
38Days played since 2025-04-07

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 5 among CSDB-tracked players (n=13,918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate32.8%43.7%44.8%12.0% short
Shot accuracy19.4%12.0%12.4%above
Kill/death ratio0.961.021.030.08 short
Match win rate38.9%44.7%45.2%6.3% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGUniupFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim63
Positioning46
Utility50

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateWLLLWWLLLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −1.7pp headshot accuracy · −43ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 599ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 570ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 592ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim6.3
Utility5.0
Positioning4.6
Opening Duels1.7
Clutch3.6

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 596ms 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
Positioning4.6
Utility5.0
Mechanics6.7
Opening Duels1.0
Win Impact2.8

Composite 4.9/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time596ms−12ms
first ⅓ avg 608ms → last ⅓ avg 596ms
Headshot accuracy10.2%−2.9%
first ⅓ avg 13.1% → last ⅓ avg 10.2%

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

0.10Best match rating · 11–13 · inferno, 17 Feb →
33%Best headshot accuracy · 4–13 · dust2, 14 Apr →
438msFastest reaction time · 5–13 · inferno, 25 Oct →
13–1Biggest win · train, 12 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
14–6In matches decided by ≤2 rounds
18Overtime games

Map breakdown

trainBest map · 83% over 6nukeWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%-0.02
nukeC208–1240%-0.01
overpassB179–853%-0.02
ancientB147–750%-0.03
mirageA116–555%-0.04
anubisB63–350%-0.01
trainS65–183%0.00
dust2—42–250%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,845Lifetime kills
0.96K/D
4,206Matches
38.9%Match win rate
32.8%Headshot %
19.4%Shot accuracy · Top 5% of Level 5 players
7,306MVPs
1,633Hours (in match)
3,302Bombs planted
759Bombs defused

Most-used weapons

Lifetime map wins

5,441nuke
4,953inferno
3,398dust2
2,781vertigo
1,709cbble
793train
310lake
306bank

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

Faceit stats

Combat

47Matches
53%Win rate
0.97Avg K/D
83.1ADR
31%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1155%0.9413.9
Mirage540%0.8815.0
Nuke450%1.0613.3
Anubis367%1.0416.7
Dust220%1.0424.5
Vertigo10%0.7512.0

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.

9.9%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.2%Spray accuracy
80.3%Counter-strafing
11.0°Preaim
596msReaction time
30.6%T opening success
37.3%CT opening success
0.58Enemies flashed / flash
11.4%Flash assists
10.37HE damage / grenade
1.97Flashes / 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 9.9039% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.9691 — below the 4 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 30.593% — 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 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–13-0.0410%5 Sept →
nuke6–13-0.057%18 Jul →
mirage12–16-0.054%20 Apr →
nuke7–13-0.0712%20 Apr →
nuke13–80.0710%22 Feb →
overpass13–10-0.0813%22 Feb →
anubis8–13-0.024%22 Feb →
inferno11–130.106%17 Feb →
nuke8–13-0.079%17 Feb →
ancient13–16-0.0017%17 Feb →
anubis13–70.0413%15 Feb →
inferno16–120.0213%15 Feb →
nuke13–50.0516%15 Feb →
nuke16–13-0.048%15 Feb →
overpass13–90.066%15 Feb →
inferno13–11-0.0313%15 Feb →
mirage9–13-0.074%9 Feb →
anubis13–9-0.0415%9 Feb →
nuke7–130.017%9 Feb →
inferno13–6-0.0114%9 Feb →
anubis8–13-0.074%6 Feb →
overpass8–13-0.067%6 Feb →
inferno9–13-0.057%5 Feb →
nuke2–13-0.0414%23 Jan →
overpass13–90.057%23 Jan →
nuke6–13-0.0018%22 Jan →
inferno14–160.0113%22 Jan →
inferno5–13-0.0413%22 Jan →
ancient16–140.027%22 Jan →
dust29–130.0110%14 Jan →
inferno12–16-0.0415%14 Jan →
nuke7–13-0.075%11 Jan →
dust213–110.0217%11 Jan →
ancient14–16-0.065%11 Jan →
nuke4–13-0.096%10 Jan →
mirage13–4-0.0112%10 Jan →
mirage13–8-0.089%10 Jan →
overpass8–13-0.0616%10 Jan →
inferno16–14-0.0613%25 Nov →
ancient13–11-0.0710%24 Nov →
mirage13–10-0.0413%24 Nov →
nuke13–70.0910%23 Nov →
ancient4–13-0.0013%23 Nov →
overpass13–20.076%23 Nov →
nuke13–4-0.015%12 Nov →
inferno16–13-0.0510%12 Nov →
mirage13–11-0.028%12 Nov →
overpass13–10-0.0110%12 Nov →
nuke3–13-0.0311%11 Nov →
overpass13–11-0.0316%11 Nov →
overpass10–13-0.0711%8 Nov →
train13–5-0.0329%7 Nov →
inferno9–13-0.0711%7 Nov →
nuke11–130.0311%28 Oct →
mirage5–13-0.0415%27 Oct →
overpass16–140.0113%27 Oct →
inferno16–12-0.0110%26 Oct →
nuke13–9-0.0014%26 Oct →
train13–60.0313%26 Oct →
inferno4–13-0.015%26 Oct →
inferno13–90.0815%25 Oct →
train10–13-0.0215%25 Oct →
overpass14–16-0.008%25 Oct →
inferno5–13-0.079%25 Oct →
ancient0–13-0.0712%25 Oct →
inferno13–7-0.039%25 Oct →
nuke13–11-0.0226%25 Oct →
overpass10–13-0.0511%23 Oct →
ancient8–13-0.079%22 Oct →
inferno15–15-0.0613%22 Oct →
inferno11–13-0.068%18 Oct →
overpass8–13-0.108%18 Oct →
overpass8–13-0.0413%6 Oct →
nuke8–130.0216%3 Oct →
inferno13–11-0.0316%3 Oct →
ancient13–8-0.025%3 Oct →
inferno8–13-0.075%3 Oct →
inferno13–70.0127%3 Oct →
ancient16–14-0.0012%12 Aug →
train13–10.024%12 Aug →
nuke4–13-0.0310%12 Aug →
mirage2–13-0.064%10 Aug →
overpass13–9-0.009%10 Aug →
ancient9–13-0.028%10 Aug →
train13–80.037%10 Aug →
ancient10–13-0.1310%8 Aug →
mirage13–50.005%8 Aug →
inferno6–13-0.057%8 Aug →
train13–11-0.034%7 Aug →
overpass13–30.0720%7 Aug →
overpass7–13-0.0411%6 Aug →
ancient10–30.0421%6 Aug →
anubis13–160.0626%14 Apr →
ancient16–120.0623%14 Apr →
dust24–130.0033%14 Apr →
mirage13–11-0.0129%14 Apr →
ancient13–7-0.0213%9 Apr →
mirage10–13-0.056%9 Apr →
anubis13–110.0017%7 Apr →
dust213–90.0724%7 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.