Paljas Uneksija

Paljas Uneksija — CS2 Stats

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

1,549Tracked matches55%Win rate2020Tracked since
2,101Hours in CS17Hrs last 2 wks
CSDB Rating6.1 SolidAll-Rounder
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 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,549 tracked matches. Play, then come back: the next observation lands here.

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. 38 days played since 8 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 Jun18 Sept · 10 days played
8,48310,464peak 10,46425 Jun18 Sept
10,691Peak Premier in tracked matches
38Days played since 2026-06-08

Premier CS Rating

  • At peak — 10,464
  • +1,107 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 accuracy15.0%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

Aim69
Positioning63
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLWLLWLWTLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · +34ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 603ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 620ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 603ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.9
Utility6.4
Positioning6.3
Opening Duels5.3
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 81% playstyle similarity

Most alike: opening-duel success, 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. 582ms 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

Aim6.9
Positioning6.3
Utility6.4
Mechanics6.3
Opening Duels5.5
Win Impact6.7

Composite 6.1/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time588ms−78ms
first ⅓ avg 666ms → last ⅓ avg 588ms
Headshot accuracy14.4%−3.0%
first ⅓ avg 17.5% → last ⅓ avg 14.4%

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 · 4–13 · dust2, 8 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
59In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 63% over 8cacheWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC1971237%0.02
mirageA1811761%0.00
infernoA159660%0.03
dust2C146843%-0.00
anubisB115645%0.02
ancientA85363%0.02
cacheD8080%-0.01
overpass31233%-0.07
vertigo220100%0.03
train21150%0.00

Across the last 100 tracked matches.

Lifetime stats

50,738Lifetime kills
0.99K/D
3,134Matches
43.3%Match win rate
38.7%Headshot %
15.0%Shot accuracy · Top 50% of Level 4 players
6,107MVPs
1,204Hours (in match)
2,841Bombs planted
1,277Bombs defused

Most-used weapons

AK-4711,513
AWP3,510
FAMAS2,046
SG 5531,977
MP91,831
MAC-101,478

Lifetime map wins

5,228inferno
4,726nuke
2,141dust2
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

443Matches
45%Win rate
1.09Avg K/D
80.2ADR
40%Headshot %

Clutches & streaks

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

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke6060%1.3416.8
Anubis6040%1.0516.0
Inferno5254%1.0514.3
Mirage3148%1.1014.7
Dust23158%1.2114.0
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.

14.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
41.8%Spray accuracy
78.2%Counter-strafing
10.9°Preaim
582msReaction time
57.4%T opening success
47.0%CT opening success
0.66Enemies flashed / flash
6.9%Flash assists
9.17HE damage / grenade
6.78Flashes / 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 14.1656% — 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
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
inferno13–50.0121%11 Jun
nuke6–130.0720%11 Jun
nuke6–13-0.0116%8 Jun
anubis13–50.0818%8 Jun
dust24–13-0.0832%8 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 →