jun!0r

jun!0r — CS2 Stats

DE76561197999876997[U:1:39611269]Steam profile ↗✓ No bans

855Tracked matches48%Win rate2020Tracked since
2,111Hours in CS9Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating11,937Blue band · top ~44.6% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (5 days ago). 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: 11,937 -886 22 Aug – 29 Oct · 6 days played
11,93712,823peak 12,82322 Aug29 Oct
13,529Peak Premier in tracked matches
35Days played since 2026-08-20

Premier CS Rating

  • 886 below peak (12,823)
  • -98 over 30 days · steady
  • Next: Purple band at 15,000 — 3,063 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-10-20
  • Light Blue band first seen 2026-10-20

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate44.6%44.8%45.7%1.1% short
Shot accuracy23.1%12.4%12.7%above
Kill/death ratio1.411.031.05above
Match win rate27.7%45.2%45.7%18.0% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjun!0rFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER11,937 · Blue 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

Aim81
Positioning65
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWLWLTLWLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −0.8pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 519ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 552ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.1
Utility5.4
Positioning6.5
Opening Duels5.0
Clutch3.8

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 583ms 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

Aim8.1
Positioning6.5
Utility5.4
Mechanics8.1
Opening Duels5.3
Win Impact4.4

Composite 6.4/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time585ms+7ms
first ⅓ avg 578ms → last ⅓ avg 585ms
Headshot accuracy18.5%−4.5%
first ⅓ avg 23.0% → last ⅓ avg 18.5%

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

0.22Best match rating · 9–1 · inferno, 22 Sept →
41%Best headshot accuracy · 1–13 · inferno, 21 Aug →
391msFastest reaction time · 11–13 · dust2, 27 Aug →
13–0Biggest win · cache, 14 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 58% over 12infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C2711–1641%0.01
cacheC188–1044%0.02
infernoC135–838%0.03
anubisA127–558%0.00
mirageA95–456%0.02
nukeC73–443%-0.01
ancientB63–350%0.02
overpass—31–233%0.02
rush_001—33–0100%0.09
eldorado—21–150%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,023Lifetime kills
1.41K/D · Top 10% of Level 6 players
4,386Matches
27.7%Match win rate
44.6%Headshot %
23.1%Shot accuracy · Top 1% of Level 6 players
5,595MVPs
1,298Hours (in match)
1,664Bombs planted
691Bombs defused

Most-used weapons

AK-4732,231
AWP27,250
SSG 082,403
P2501,761
SG 5531,310

Lifetime map wins

7,554inferno
3,888dust2
691vertigo
620nuke
144train
105cbble
50office
34lake

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

Faceit stats

Combat

109Matches
50%Win rate
1.35Avg K/D
85.3ADR
52%Headshot %

Clutches & streaks

39%1v1 clutch win
36%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust23043%1.2616.5
Inferno1753%1.3313.8
Anubis1155%1.5217.0
Cache956%1.6017.2
Nuke667%1.5415.7
Mirage667%1.3317.0
Ancient520%1.0515.8
Vertigo1100%1.6226.0

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.

18.3%Headshot accuracy
37.9%Accuracy (enemy spotted)
35.4%Spray accuracy
86.5%Counter-strafing
8.6°Preaim
583msReaction time
58.7%T opening success
43.7%CT opening success
0.55Enemies flashed / flash
4.0%Flash assists
8.11HE damage / grenade
12.39Flashes / match

Recommended for you

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0112%29 Oct →
inferno2–130.0221%29 Oct →
cache13–90.0519%29 Oct →
ancient7–130.0620%29 Oct →
overpass12–120.0114%25 Oct →
ancient5–13-0.0615%25 Oct →
cache13–90.0416%25 Oct →
nuke8–13-0.0317%22 Oct →
dust213–60.0223%20 Oct →
dust213–11-0.0019%17 Oct →
dust213–70.0321%17 Oct →
cache13–00.1317%14 Oct →
dust26–13-0.0723%14 Oct →
overpass9–130.0014%14 Oct →
rush_0018–60.0912%14 Oct →
mirage0–13-0.1030%14 Oct →
dust26–00.1225%14 Oct →
cache9–13-0.0120%14 Oct →
anubis13–90.0814%13 Oct →
inferno2–13-0.038%10 Oct →
dust210–13-0.0217%10 Oct →
cache7–130.0123%10 Oct →
nuke13–3-0.0512%9 Oct →
anubis7–13-0.0130%4 Oct →
rush_0018–50.0625%4 Oct →
rush_0018–60.1323%4 Oct →
mirage13–70.0821%4 Oct →
dust214–16-0.0219%4 Oct →
inferno13–30.0621%4 Oct →
anubis13–30.039%3 Oct →
nuke13–80.0421%3 Oct →
cache3–13-0.0020%2 Oct →
anubis2–13-0.0913%2 Oct →
cache13–40.0532%28 Sept →
mirage9–13-0.066%28 Sept →
ancient13–60.0218%27 Sept →
nuke13–10.0716%27 Sept →
ancient5–130.0324%27 Sept →
inferno7–13-0.0113%27 Sept →
cache13–50.0014%26 Sept →
dust219–17-0.0617%26 Sept →
nuke6–13-0.0325%25 Sept →
dust23–13-0.0315%24 Sept →
mirage13–100.0719%24 Sept →
anubis6–20.0113%24 Sept →
nuke7–13-0.0316%23 Sept →
anubis10–9-0.0024%23 Sept →
dust27–13-0.0012%22 Sept →
inferno7–130.0617%22 Sept →
inferno9–10.2217%22 Sept →
dust26–13-0.0613%21 Sept →
anubis4–13-0.0117%19 Sept →
inferno13–50.0624%19 Sept →
nuke7–10-0.0513%18 Sept →
mirage13–9-0.0117%17 Sept →
anubis13–160.0323%17 Sept →
dust213–7-0.0216%17 Sept →
inferno13–50.0511%12 Sept →
dust26–130.0130%12 Sept →
eldorado9–00.1629%11 Sept →
overpass13–50.0528%11 Sept →
mirage13–70.0926%11 Sept →
ancient13–80.0012%11 Sept →
dust29–130.0322%10 Sept →
cache12–12-0.0328%10 Sept →
anubis4–13-0.0510%6 Sept →
dust213–160.0721%6 Sept →
anubis13–4-0.0230%6 Sept →
dust213–9-0.0416%6 Sept →
cache9–13-0.0433%6 Sept →
anubis13–6-0.0219%3 Sept →
ancient13–50.0826%29 Aug →
anubis13–40.0921%29 Aug →
inferno2–13-0.0812%29 Aug →
cache8–130.0426%29 Aug →
dust26–130.0220%29 Aug →
eldorado6–9-0.0140%29 Aug →
cache13–70.0423%27 Aug →
dust213–70.0823%27 Aug →
cache13–70.1229%27 Aug →
dust211–13-0.065%27 Aug →
cache13–50.0314%25 Aug →
dust213–40.1126%25 Aug →
dust213–110.0727%25 Aug →
dust213–160.0224%24 Aug →
inferno10–130.0122%24 Aug →
dust213–80.0524%24 Aug →
dust211–130.0823%24 Aug →
mirage8–130.0532%22 Aug →
cache2–13-0.0330%22 Aug →
cache13–16-0.0316%22 Aug →
dust24–13-0.0310%22 Aug →
cache10–130.0727%22 Aug →
inferno9–130.0221%21 Aug →
inferno13–50.0520%21 Aug →
cache5–13-0.0418%21 Aug →
inferno1–13-0.0641%21 Aug →
dust25–13-0.0218%21 Aug →
dust211–13-0.0812%21 Aug →
mirage13–160.0428%20 Aug →

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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