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Pareigūnas Jurgis — CS2 Stats

76561198965402448[U:1:1005136720]

992Tracked matches41%Win rate2022Tracked since
CSDB Rating3.2 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPareigūnas JurgisFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim30
Positioning34
Utility44

0–100 skill scores via Leetify.

Recent form

COLD36–61–3Last 10036%Win rateLWWLWLLLLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim3.0
Aggression4.4
Utility4.4
Positioning3.4
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 704ms 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

Aim3.0
Positioning3.4
Utility4.4
Mechanics4.9
Opening Duels0.3
Win Impact2.1

Composite 3.2/10 (Learning), 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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time706ms+25ms
first ⅓ avg 681ms → last ⅓ avg 706ms
Headshot accuracy12.8%−0.3%
first ⅓ avg 13.1% → last ⅓ avg 12.8%

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.

Highlights

0.08Best rating — inferno 9–5
13–1Biggest win — inferno
4Longest win streak
3–14In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 50% over 20trainWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%-0.03
mirageB2010–1050%-0.04
ancientD144–1029%-0.04
trainD82–625%-0.06
dust2C73–443%-0.05
nuke—41–325%-0.08
overpass—40–40%-0.09
office—41–325%-0.07
grail—41–325%-0.03
vertigo—20–20%-0.07
cache—22–0100%-0.03
anubis—21–150%-0.07
poseidon—10–10%-0.04
sanctum—10–10%-0.32
brewery—10–10%-0.03
dogtown—11–0100%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

14Matches
43%Win rate
0.42Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.122.0
Vertigo10%0.357.0
Mirage1100%0.5213.0

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.

13.5%Headshot accuracy
27.0%Accuracy (enemy spotted)
31.5%Spray accuracy
71.9%Counter-strafing
10.1°Preaim
704msReaction time
24.5%T opening success
32.1%CT opening success
0.65Enemies flashed / flash
4.3%Flash assists
6.84HE damage / grenade
6.52Flashes / 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 13.536% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 704.2158ms — above the 700ms mark we flag

    Aim Training →
  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 24.4929% — below the 40% mark we flag

Spend your practice time on Train

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0419%12 Jul →
mirage13–9-0.0115%11 Jun →
mirage13–4-0.0120%11 Jun →
mirage12–160.0011%10 Jun →
ancient13–3-0.029%9 Jun →
vertigo7–13-0.1113%9 Jun →
vertigo3–13-0.033%8 Jun →
poseidon6–9-0.0423%2 Jun →
sanctum2–9-0.325%2 Jun →
ancient7–13-0.0223%30 May →
inferno2–13-0.1013%28 May →
nuke13–6-0.0611%28 May →
ancient13–50.0216%27 May →
dust213–4-0.0215%27 May →
ancient5–13-0.083%25 May →
dust29–13-0.0921%25 May →
mirage14–16-0.0814%25 May →
mirage13–100.0214%21 May →
mirage9–13-0.0519%20 May →
inferno11–13-0.0716%16 May →
mirage13–2-0.0219%16 May →
cache13–4-0.0611%12 May →
cache13–30.0022%12 May →
inferno9–130.0313%24 Apr →
inferno13–50.037%24 Apr →
ancient11–130.015%22 Apr →
inferno0–4-0.050%22 Apr →
mirage13–6-0.0516%21 Apr →
nuke7–9-0.134%20 Apr →
inferno9–1-0.0313%20 Apr →
inferno6–9-0.0911%20 Apr →
ancient10–13-0.049%9 Apr →
anubis3–13-0.059%3 Apr →
inferno9–5-0.1014%2 Apr →
inferno9–60.0136%27 Mar →
dust214–16-0.0815%27 Mar →
ancient12–12-0.0613%27 Mar →
inferno13–3-0.016%27 Mar →
inferno5–90.0522%17 Mar →
overpass3–13-0.0920%17 Mar →
overpass8–13-0.066%16 Mar →
overpass6–13-0.126%16 Mar →
inferno6–90.0124%7 Oct →
mirage11–13-0.0717%6 Oct →
inferno7–130.0719%19 Sept →
mirage6–13-0.1214%19 Sept →
ancient12–12-0.0817%19 Sept →
office11–13-0.0221%15 Sept →
inferno9–50.0821%15 Sept →
train5–13-0.0713%10 Sept →
train5–13-0.0618%10 Sept →
overpass6–9-0.0812%3 Sept →
mirage11–130.0314%3 Sept →
nuke9–13-0.0814%1 Sept →
inferno5–13-0.0610%27 Aug →
grail5–13-0.0314%27 Aug →
inferno13–6-0.0516%26 Aug →
brewery8–8-0.0313%20 Aug →
dogtown9–7-0.0714%20 Aug →
inferno11–13-0.0420%20 Aug →
anubis13–8-0.084%20 Aug →
train11–13-0.079%9 Aug →
office1–13-0.1213%9 Aug →
mirage6–13-0.0515%9 Aug →
mirage14–16-0.0230%6 Aug →
inferno13–1-0.0516%21 Jul →
train13–11-0.0315%21 Jul →
office13–10-0.079%17 Jul →
inferno11–130.0421%17 Jul →
train5–13-0.0716%17 Jul →
inferno9–13-0.0925%14 Jul →
mirage13–6-0.088%14 Jul →
inferno11–13-0.0219%13 Jul →
office6–13-0.0923%13 Jul →
nuke9–13-0.048%5 Jul →
inferno12–16-0.099%5 Jul →
mirage13–80.0329%3 Jun →
mirage13–4-0.0516%3 Jun →
ancient5–13-0.0012%3 Jun →
mirage13–9-0.0814%30 May →
dust29–13-0.0115%30 May →
mirage3–13-0.0911%27 May →
ancient13–7-0.0810%27 May →
train4–13-0.0612%27 May →
train6–13-0.0518%27 May →
dust213–9-0.0316%22 May →
inferno13–9-0.0615%22 May →
mirage13–6-0.0514%20 May →
dust213–6-0.024%20 May →
ancient3–13-0.0913%14 May →
mirage6–13-0.0013%14 May →
dust20–13-0.104%14 May →
ancient13–11-0.0413%14 May →
grail13–90.0015%13 May →
grail5–13-0.0014%13 May →
grail0–11-0.100%13 May →
train13–2-0.0214%6 May →
inferno11–13-0.0712%5 May →
ancient2–13-0.070%5 May →
inferno13–9-0.0111%5 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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