Paljas Uneksija

Paljas Uneksija — CS2 Stats

FI76561199023848609[U:1:1063582881]Steam profile ↗✓ No bans

1,556Tracked matches45%Win rate2020Tracked since
2,107Hours in CS19Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating10,464Blue band · top ~52.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 10,464 → 10,464
+7Tracked matches · now 1,556
−10.3ppWin rate · 55.2% → 44.8%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 11 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,464 +376 25 Jun21 Sept · 12 days played
8,48310,464peak 10,46425 Jun21 Sept
10,691Peak Premier in tracked matches
39Days played since 2026-06-11

Premier CS Rating

  • At peak — 10,464
  • +1,279 over 30 days · improving
  • +376 over 90 days
  • Next: Purple band at 15,000 4,536 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-18
  • Light Blue band first seen 2026-09-18

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 4 among CSDB-tracked players (n=12,847), 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 4 medianLevel 5 medianvs Level 5
Headshot rate38.7%42.7%43.8%5.1% short
Shot accuracy14.9%11.3%12.0%above
Kill/death ratio0.990.991.020.03 short
Match win rate43.3%43.9%44.7%1.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPaljas UneksijaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,464 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning57
Utility64

0–100 skill scores via Leetify.

Recent form

COLD46504Last 10046%Win rateWLLLLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +0.7pp headshot accuracy · −50ms reaction

Win rate down 20pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 577ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 590ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • 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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim6.4
Utility6.4
Positioning5.7
Opening Duels4.8
Clutch4.8

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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 593ms 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

Aim6.4
Positioning5.7
Utility6.4
Mechanics6.2
Opening Duels5.2
Win Impact3.3

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time598ms−75ms
first ⅓ avg 673ms → last ⅓ avg 598ms
Headshot accuracy14.3%−2.1%
first ⅓ avg 16.4% → last ⅓ avg 14.3%

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

0.15Best match rating · 13–4 · inferno, 8 Aug
32%Best headshot accuracy · 5–13 · cache, 26 Jun
453msFastest reaction time · 13–5 · train, 16 Aug
13–2Biggest win · ancient, 30 Jul

Across the last 100 tracked matches.

Highlights

7Longest win streak
510In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 63% over 8cacheWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA1811761%0.00
nukeC1771041%0.02
anubisC145936%0.01
dust2C146843%0.00
infernoA148657%0.03
ancientA85363%0.02
cacheD8080%-0.01
overpass31233%-0.07
vertigo220100%0.03
train21150%0.00

Across the last 100 tracked matches.

Lifetime stats

50,862Lifetime kills
0.99K/D
3,145Matches
43.3%Match win rate
38.7%Headshot %
14.9%Shot accuracy · Top 50% of Level 4 players
6,125MVPs
1,207Hours (in match)
2,853Bombs planted
1,287Bombs defused

Most-used weapons

AK-4711,532
AWP3,519
FAMAS2,057
SG 5531,983
MP91,833
MAC-101,483

Lifetime map wins

5,229inferno
4,726nuke
2,162dust2
1,753train
1,137vertigo
341cbble
121lake
79office

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

Faceit stats

Combat

445Matches
45%Win rate
1.09Avg K/D
80.0ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis6139%1.0515.9
Nuke6060%1.3416.8
Inferno5254%1.0514.3
Dust23256%1.1913.7
Mirage3148%1.1014.7
Ancient2025%1.0414.6
Overpass1631%1.1816.3
Vertigo933%1.1119.4

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.

13.8%Headshot accuracy
36.9%Accuracy (enemy spotted)
39.2%Spray accuracy
77.8%Counter-strafing
10.9°Preaim
593msReaction time
51.7%T opening success
50.2%CT opening success
0.67Enemies flashed / flash
4.9%Flash assists
9.62HE damage / grenade
7.18Flashes / 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 13.7828% — below the 15% mark we flag

    Aim Training
Spend your practice time on Cache

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 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis13–80.059%21 Sept
anubis7–130.0011%21 Sept
anubis8–13-0.0424%21 Sept
anubis11–13-0.069%20 Sept
dust26–13-0.0314%20 Sept
mirage11–130.0120%14 Sept
inferno13–30.0317%14 Sept
mirage10–13-0.0310%13 Sept
inferno4–13-0.0215%13 Sept
nuke13–40.0210%12 Sept
dust29–13-0.0010%12 Sept
mirage13–60.0212%12 Sept
inferno8–80.1418%12 Sept
nuke3–13-0.068%9 Sept
nuke13–70.047%7 Sept
anubis10–13-0.019%7 Sept
anubis13–7-0.0312%3 Sept
mirage13–40.0122%31 Aug
nuke11–13-0.0114%31 Aug
inferno13–8-0.0219%27 Aug
nuke13–100.0413%24 Aug
inferno13–70.0415%24 Aug
inferno11–13-0.0111%22 Aug
vertigo13–90.0519%22 Aug
ancient12–160.0613%22 Aug
cache9–130.0616%22 Aug
nuke15–150.0815%22 Aug
mirage13–90.0011%20 Aug
nuke6–130.0010%20 Aug
dust213–4-0.0024%20 Aug
ancient10–13-0.0516%17 Aug
mirage13–90.0223%17 Aug
anubis11–130.0115%16 Aug
nuke13–80.0318%16 Aug
train13–50.0111%16 Aug
ancient13–100.0411%15 Aug
nuke11–130.0323%15 Aug
cache6–130.0510%15 Aug
anubis8–130.0425%15 Aug
nuke4–13-0.0517%15 Aug
mirage13–11-0.0012%13 Aug
dust29–13-0.0311%13 Aug
mirage10–13-0.029%10 Aug
anubis13–110.0613%9 Aug
mirage3–110.000%9 Aug
mirage5–130.0119%9 Aug
mirage13–60.0717%9 Aug
inferno13–40.1525%8 Aug
anubis13–70.0213%8 Aug
mirage11–13-0.0118%6 Aug
mirage13–4-0.059%3 Aug
mirage13–40.0626%3 Aug
inferno13–70.0629%30 Jul
dust213–80.0514%30 Jul
ancient13–20.0520%30 Jul
anubis13–160.009%30 Jul
inferno13–100.0212%27 Jul
nuke13–110.0616%27 Jul
mirage16–130.0021%22 Jul
dust213–8-0.0316%22 Jul
mirage13–100.0211%22 Jul
nuke13–30.0813%20 Jul
dust213–100.0219%20 Jul
cache6–13-0.0221%20 Jul
nuke10–130.1218%20 Jul
anubis14–160.0817%16 Jul
nuke9–13-0.0315%9 Jul
mirage2–13-0.0311%9 Jul
inferno13–10-0.0210%9 Jul
ancient13–50.0419%6 Jul
dust211–13-0.0216%6 Jul
dust23–13-0.0115%6 Jul
nuke13–100.0216%6 Jul
overpass13–16-0.0616%4 Jul
cache9–13-0.0223%4 Jul
inferno10–130.0921%2 Jul
anubis16–140.028%29 Jun
nuke1–13-0.059%29 Jun
ancient13–40.0221%28 Jun
cache8–130.0115%28 Jun
inferno16–13-0.0014%28 Jun
dust211–130.0822%28 Jun
overpass16–14-0.0515%26 Jun
cache5–13-0.0232%26 Jun
vertigo13–30.0014%26 Jun
inferno10–130.0416%25 Jun
anubis4–13-0.0513%25 Jun
ancient13–80.0024%25 Jun
nuke10–13-0.0611%22 Jun
dust213–50.0613%22 Jun
train5–130.0022%18 Jun
inferno2–13-0.077%18 Jun
ancient9–13-0.0214%18 Jun
cache6–13-0.1029%18 Jun
cache12–12-0.0319%18 Jun
dust212–12-0.0916%18 Jun
overpass5–13-0.114%15 Jun
mirage13–2-0.0718%15 Jun
dust25–13-0.0117%15 Jun
dust213–70.0420%11 Jun

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 →