JuksarN

JuksarN — CS2 Stats

NO76561198315975331[U:1:355709603]Steam profile ↗✓ No bans

1,460Tracked matches60%Win rate2020Tracked since
8,592Hours in CS208Hrs last 2 wks
CSDB Rating7.5 StrongOpening Duellist
Premier CS Rating16,520Purple band · top ~22.3% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,520 -1,334 1 Sept – 28 Oct · 13 days played
16,48117,854peak 17,8541 Sept28 Oct
17,854Peak Premier in tracked matches
38Days played since 2026-08-30

Premier CS Rating

  • 1,334 below peak (17,854)
  • -736 over 30 days · declining
  • Next: Pink band at 20,000 — 3,480 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate49.8%46.8%48.2%above
Shot accuracy10.9%13.0%13.2%2.3% short
Kill/death ratio1.161.061.07above
Match win rate49.3%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJuksarNFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER16,520 · Purple bandcsdb.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

Aim82
Positioning73
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWLWWWLWWL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +7.1pp headshot accuracy · +18ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 37%
  • Avg reaction 597ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 28%
  • Avg reaction 584ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 575ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.3 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.2
Utility6.1
Positioning7.3
Opening Duels7.4
Clutch3.6

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

s1mple

Plays most like s1mple 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 75% on T to 58% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms 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

Aim8.2
Positioning7.3
Utility6.1
Mechanics6.3
Opening Duels8.5
Win Impact8.3

Composite 7.5/10 (Strong), 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 rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time565ms−42ms
first ⅓ avg 607ms → last ⅓ avg 565ms
Headshot accuracy23.1%+0.2%
first ⅓ avg 22.9% → last ⅓ avg 23.1%

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

0.17Best match rating · 9–5 · vertigo, 14 Sept →
75%Best headshot accuracy · 1–8 · ancient, 28 Oct →
438msFastest reaction time · 2–13 · anubis, 7 Oct →
13–2Biggest win · cache, 27 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 83% over 6nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C188–1044%0.00
cacheS1613–381%0.02
anubisD155–1033%-0.00
ancientC145–936%0.02
nukeD123–925%0.01
mirageC73–443%0.02
vertigoD72–529%0.01
infernoS65–183%0.01
overpass—21–150%-0.02
train—11–0100%0.10
rush_001—10–10%0.03
poseidon—11–0100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,971Lifetime kills
1.16K/D · Top 50% of Level 8 players
2,916Matches
49.3%Match win rate · Top 25% of Level 8 players
49.8%Headshot % · Top 50% of Level 8 players
10.9%Shot accuracy
8,686MVPs
1,373Hours (in match)
3,486Bombs planted
847Bombs defused

Most-used weapons

AK-4719,856
AWP10,776
Knife1,947

Lifetime map wins

5,507inferno
3,182dust2
2,935nuke
1,561train
1,393vertigo
457cbble
30office
29italy

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

Faceit stats

Combat

646Matches
50%Win rate
1.19Avg K/D
88.2ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5855%1.2318.4
Nuke4252%1.2617.7
Dust24134%1.0817.8
Cache3653%1.2017.8
Anubis2642%1.1917.9
Inferno1182%1.3418.2
Vertigo1050%0.9414.9
Mirage933%0.9316.9

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.

22.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
37.8%Spray accuracy
78.3%Counter-strafing
8.7°Preaim
565msReaction time
75.0%T opening success
58.4%CT opening success
0.63Enemies flashed / flash
8.3%Flash assists
9.73HE damage / grenade
9.85Flashes / match

Recommended for you

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient1–80.1575%28 Oct →
dust213–50.0328%28 Oct →
anubis5–130.0021%27 Oct →
dust216–140.0618%27 Oct →
cache13–80.0843%26 Oct →
dust213–90.0522%26 Oct →
mirage8–130.0521%25 Oct →
inferno13–90.0921%25 Oct →
cache13–80.0213%24 Oct →
ancient11–130.0415%24 Oct →
mirage13–80.0117%24 Oct →
anubis13–80.0321%23 Oct →
cache14–160.0323%21 Oct →
dust213–8-0.0710%21 Oct →
nuke11–130.0220%19 Oct →
ancient13–70.0717%19 Oct →
nuke9–13-0.028%18 Oct →
ancient13–100.0217%18 Oct →
mirage4–130.0631%18 Oct →
cache13–100.0441%18 Oct →
dust27–13-0.0519%18 Oct →
nuke10–130.0629%18 Oct →
dust216–120.0030%18 Oct →
ancient13–100.0615%17 Oct →
dust28–130.0221%17 Oct →
ancient13–11-0.0215%17 Oct →
anubis16–140.0225%17 Oct →
cache13–11-0.0314%16 Oct →
dust213–90.0831%15 Oct →
vertigo6–130.0138%15 Oct →
cache13–100.0740%15 Oct →
anubis8–13-0.024%14 Oct →
nuke13–3-0.023%14 Oct →
inferno5–13-0.117%13 Oct →
cache13–90.0546%13 Oct →
ancient4–13-0.0323%12 Oct →
cache13–7-0.0117%11 Oct →
nuke16–140.1121%11 Oct →
vertigo13–6-0.0327%11 Oct →
anubis7–130.0618%11 Oct →
train13–50.1032%10 Oct →
mirage16–140.0422%10 Oct →
dust29–130.0218%10 Oct →
ancient8–13-0.0425%9 Oct →
ancient8–130.0131%7 Oct →
anubis2–13-0.0521%7 Oct →
dust24–13-0.0412%7 Oct →
ancient9–13-0.0016%7 Oct →
anubis13–100.1229%4 Oct →
cache8–13-0.0237%3 Oct →
rush_0017–80.0318%3 Oct →
anubis7–13-0.0313%3 Oct →
dust210–130.0120%1 Oct →
anubis10–13-0.0417%1 Oct →
cache13–110.0223%1 Oct →
dust24–13-0.0516%1 Oct →
inferno13–90.0631%30 Sept →
dust28–13-0.0523%27 Sept →
cache13–70.0414%27 Sept →
cache13–8-0.0319%27 Sept →
vertigo4–9-0.0014%27 Sept →
cache13–20.0726%27 Sept →
mirage13–60.0023%27 Sept →
anubis3–13-0.0824%27 Sept →
nuke10–130.0010%26 Sept →
dust213–100.0837%26 Sept →
vertigo12–120.0328%26 Sept →
vertigo11–13-0.0223%22 Sept →
vertigo10–13-0.0714%21 Sept →
anubis7–13-0.0420%20 Sept →
anubis13–30.0123%20 Sept →
overpass9–50.0213%19 Sept →
inferno9–50.0127%19 Sept →
poseidon9–50.0725%17 Sept →
nuke15–150.066%15 Sept →
nuke3–130.0114%14 Sept →
ancient6–13-0.0325%14 Sept →
dust29–13-0.0128%14 Sept →
mirage11–13-0.0217%14 Sept →
vertigo9–50.1726%14 Sept →
overpass2–9-0.0635%14 Sept →
nuke9–130.0211%13 Sept →
cache13–10-0.0534%13 Sept →
inferno13–30.0039%13 Sept →
ancient3–13-0.0114%13 Sept →
anubis13–6-0.0510%13 Sept →
inferno13–10-0.0019%13 Sept →
anubis14–16-0.0124%13 Sept →
cache9–13-0.0427%13 Sept →
dust219–17-0.016%13 Sept →
ancient13–100.0618%12 Sept →
dust210–130.0131%12 Sept →
ancient7–13-0.0611%12 Sept →
cache13–110.0239%12 Sept →
nuke13–7-0.0240%12 Sept →
nuke11–130.0232%3 Sept →
anubis7–130.0123%3 Sept →
nuke3–13-0.0825%1 Sept →
dust28–13-0.0316%31 Aug →
mirage11–13-0.0240%30 Aug →

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.