jar rak

jar rak — CS2 Stats

76561198412045168[U:1:451779440]Steam profile ↗✓ No bans

414Tracked matches56%Win rate2020Tracked since
795Hours in CS
CSDB Rating6.1 SolidPositional Player
FaceitLevel 8 · 1,565 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,120 -268 4 Jun – 27 Jun · 4 days played
16,47917,795peak 17,7954 Jun27 Jun
17,795Peak Premier in tracked matches
1,565Highest Faceit ELO seen on CSDB
45Days played since 2026-05-15

Faceit ELO

  • At peak — 1,565
  • Next: Level 9 at 1,751 — 186 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches10——
Win rate50%——
K/D1.00——
Headshot %71%——

Measured 10 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,030), 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 rate35.6%46.8%48.2%12.7% short
Shot accuracy13.7%13.0%13.3%above
Kill/death ratio1.201.061.07above
Match win rate45.1%46.3%46.9%1.8% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGjar rakFACEITLevel 8 · 1,565 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,565csdb.gg/stats

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Performance scores

Aim86
Positioning56
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY54–37–9Last 10054%Win rateLWLWLLWLWT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +3.3pp headshot accuracy · −72ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 34%
  • Avg reaction 477ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 465ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 501ms

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 (+1.4 against its own average).

Aim8.6
Utility3.1
Positioning5.6
Opening Duels5.3
Clutch2.6

Sharp aimerStrong CT-side openerLimited utility dependence

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 83% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 62% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning5.6
Utility3.1
Mechanics7.4
Opening Duels4.9
Win Impact6.9

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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time508ms−101ms
first ⅓ avg 609ms → last ⅓ avg 508ms
Headshot accuracy27.3%+3.0%
first ⅓ avg 24.4% → last ⅓ avg 27.3%

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

0.27Best match rating · 9–0 · nuke, 3 Jun →
57%Best headshot accuracy · 2–13 · nuke, 23 Jul →
344msFastest reaction time · 13–8 · nuke, 13 Sept →
13–0Biggest win · mirage, 27 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 60% over 5cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB3518–1751%0.01
dust2A3219–1359%0.01
mirageA1810–856%0.01
cacheC73–443%-0.03
officeA53–260%0.03
anubis—11–0100%-0.04
ancient—10–10%-0.02
vertigo—10–10%-0.21

Across the last 100 tracked matches.

Lifetime stats

45,396Lifetime kills
1.20K/D · Top 25% of Level 8 players
2,066Matches
45.1%Match win rate
35.6%Headshot %
13.7%Shot accuracy · Top 50% of Level 8 players
5,442MVPs
795Hours (in match)
1,704Bombs planted
515Bombs defused

Most-used weapons

AK-479,828
AWP4,899
P901,402
SSG 081,210
SG 5531,097
AUG1,060

Lifetime map wins

6,990dust2
1,615nuke
1,028office
833inferno
608cbble
256vertigo
204train
146lake

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

Faceit stats

Combat

82Matches
66%Win rate
1.03Avg K/D
72.9ADR
51%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2075%1.0616.3
Dust21782%1.0614.3
Nuke633%0.7411.8
Overpass367%0.8113.0
Anubis333%0.9211.7
Inferno1100%1.0715.0
Ancient10%0.6111.0

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.

26.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
39.1%Spray accuracy
83.5%Counter-strafing
9.8°Preaim
507msReaction time
36.8%T opening success
62.2%CT opening success
0.54Enemies flashed / flash
0.5%Flash assists
9.09HE damage / grenade
4.31Flashes / 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. 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 36.7697% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0029%7 Oct →
nuke13–30.0639%25 Sept →
nuke0–9-0.2630%23 Sept →
nuke13–11-0.0123%23 Sept →
nuke1–7-0.0750%23 Sept →
nuke5–13-0.0728%16 Sept →
nuke13–8-0.0134%13 Sept →
nuke4–130.0213%13 Sept →
nuke13–5-0.0136%7 Sept →
office12–120.1220%3 Sept →
nuke13–70.0722%3 Sept →
office4–13-0.0126%3 Sept →
office13–110.0317%2 Sept →
nuke11–13-0.0241%2 Sept →
dust213–16-0.0918%31 Aug →
nuke8–13-0.0140%31 Aug →
mirage13–9-0.0828%4 Aug →
dust213–6-0.0029%1 Aug →
mirage9–130.0122%29 Jul →
dust213–11-0.0025%29 Jul →
nuke2–13-0.0257%23 Jul →
nuke12–120.0533%22 Jul →
mirage13–50.1318%21 Jul →
dust213–40.0217%21 Jul →
dust210–13-0.0212%21 Jul →
nuke6–13-0.0619%20 Jul →
nuke13–20.0828%20 Jul →
nuke13–50.1435%19 Jul →
nuke10–10.0520%19 Jul →
nuke13–100.0132%17 Jul →
dust212–12-0.0521%14 Jul →
dust213–6-0.0319%14 Jul →
dust213–20.0520%14 Jul →
mirage13–11-0.0223%12 Jul →
dust210–13-0.0325%12 Jul →
cache13–30.0627%12 Jul →
dust21–13-0.0625%12 Jul →
dust215–150.0128%12 Jul →
mirage16–12-0.0219%11 Jul →
dust213–6-0.0611%11 Jul →
cache9–13-0.0330%11 Jul →
anubis13–11-0.0418%11 Jul →
dust213–60.0022%11 Jul →
dust213–10.0117%11 Jul →
dust213–80.0639%11 Jul →
cache10–13-0.0923%10 Jul →
nuke13–100.0741%10 Jul →
nuke13–10.0934%10 Jul →
nuke13–10.1331%10 Jul →
dust213–60.0924%8 Jul →
nuke11–13-0.0129%6 Jul →
nuke3–13-0.0233%6 Jul →
mirage12–12-0.0439%5 Jul →
dust29–13-0.0315%3 Jul →
office13–8-0.0137%3 Jul →
cache13–7-0.0418%3 Jul →
dust213–30.0913%27 Jun →
mirage13–00.0530%27 Jun →
dust213–160.0731%27 Jun →
nuke13–9-0.0720%26 Jun →
ancient11–13-0.0222%26 Jun →
dust213–100.0321%26 Jun →
nuke9–13-0.0029%26 Jun →
nuke1–7-0.0331%26 Jun →
dust21–13-0.0727%26 Jun →
nuke3–13-0.0735%24 Jun →
nuke9–30.0825%19 Jun →
nuke9–60.0628%19 Jun →
mirage6–130.0426%18 Jun →
dust213–80.1622%18 Jun →
dust212–120.0422%18 Jun →
dust213–70.0327%16 Jun →
nuke9–13-0.0228%15 Jun →
mirage7–13-0.0333%13 Jun →
mirage12–12-0.0522%13 Jun →
mirage13–30.1225%6 Jun →
cache12–120.0450%6 Jun →
nuke13–8-0.0316%6 Jun →
dust211–13-0.0232%4 Jun →
dust213–90.0019%4 Jun →
nuke9–00.2724%3 Jun →
dust26–13-0.0522%3 Jun →
mirage12–120.0528%3 Jun →
nuke10–13-0.0221%2 Jun →
mirage5–13-0.0511%29 May →
nuke13–8-0.0224%29 May →
cache8–13-0.1417%29 May →
vertigo1–9-0.2138%29 May →
mirage9–130.0029%24 May →
mirage13–3-0.0224%24 May →
dust213–70.0123%24 May →
office13–90.0332%23 May →
mirage13–7-0.079%20 May →
dust210–13-0.0320%20 May →
dust213–10.0625%18 May →
dust213–7-0.0131%18 May →
mirage13–70.1418%16 May →
mirage7–2-0.0016%16 May →
dust213–30.0930%16 May →
cache13–7-0.0214%15 May →

Match data via Leetify.

Recent teammates

Milestones

100 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.