kury_jobaltvajumat

kury_jobaltvajumat — CS2 Stats

76561199167491697[U:1:1207225969]Steam profile ↗✓ No bans

979Tracked matches24%Win rate2021Tracked since
1,362Hours in CS16Hrs last 2 wks
CSDB Rating1.3 LearningPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,152 +1,531 25 Jul – 2 Sept · 19 days played
9,62112,765peak 12,76525 Jul2 Sept
13,131Peak Premier in tracked matches
31Days played since 2025-07-18

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate34.3%43.8%44.8%10.5% short
Shot accuracy9.7%12.0%12.4%2.8% short
Kill/death ratio0.781.021.030.25 short
Match win rate38.7%44.7%45.2%6.5% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkury_jobaltvajumatFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim12
Positioning34
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLTTWWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.8pp headshot accuracy · −53ms 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 497ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 565ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 592ms

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).

Aim1.2
Utility1.3
Positioning3.4
Opening Duels0.0
Clutch3.2

Strong T-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

Twistzz

Plays most like Twistzz 71% 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

CT openings. Opening success drops from 31% on T to 14% on CT — first contacts on the defending side are being lost.

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.2
Positioning3.4
Utility1.3
Mechanics0.5
Opening Duels0.1
Win Impact0.0

Composite 1.3/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time601ms−107ms
first ⅓ avg 708ms → last ⅓ avg 601ms
Headshot accuracy13.0%+1.3%
first ⅓ avg 11.7% → last ⅓ avg 13.0%

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

0.16Best match rating · 9–2 · inferno, 20 Jul →
33%Best headshot accuracy · 6–9 · inferno, 19 Oct →
438msFastest reaction time · 9–1 · vertigo, 21 Oct →
13–1Biggest win · overpass, 13 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 80% over 5mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB4219–2345%-0.02
ancientC198–1142%-0.02
overpassB115–645%-0.06
mirageD61–517%-0.04
trainS54–180%-0.02
nukeA53–260%-0.02
office—41–325%-0.04
dust2—31–233%-0.06
cache—20–20%-0.03
vertigo—11–0100%0.08
poseidon—10–10%-0.05
jura—10–10%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,010Lifetime kills
0.78K/D
1,876Matches
38.7%Match win rate
34.3%Headshot %
9.7%Shot accuracy
2,823MVPs
591Hours (in match)
1,561Bombs planted
226Bombs defused

Most-used weapons

Lifetime map wins

5,179inferno
1,761office
1,174nuke
786vertigo
562dust2
200train
49cbble
11ar_baggage

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

Faceit stats

Combat

19Matches
42%Win rate
0.67Avg K/D
55.0ADR
30%Headshot %

Clutches & streaks

36%1v1 clutch win
11%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis757%0.7010.6
Ancient425%0.7912.3
Mirage333%0.5910.0
Nuke250%0.477.0
Dust220%0.507.5
Inferno1100%0.9314.0

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.

12.6%Headshot accuracy
26.5%Accuracy (enemy spotted)
30.7%Spray accuracy
52.2%Counter-strafing
13.9°Preaim
645msReaction time
30.9%T opening success
14.5%CT opening success
0.18Enemies flashed / flash
1.9%Flash assists
8.77HE damage / grenade
1.28Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9019° — above the 12° mark we flag

    Aim Training →
  2. 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 12.5571% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1804 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–9-0.0516%25 Oct →
inferno8–80.1519%25 Oct →
inferno15–15-0.073%21 Oct →
inferno9–7-0.1112%21 Oct →
vertigo9–10.080%21 Oct →
inferno9–10.0914%21 Oct →
inferno9–50.0614%21 Oct →
inferno6–9-0.015%21 Oct →
overpass5–9-0.1513%21 Oct →
mirage9–13-0.0515%21 Oct →
mirage1–5-0.0017%21 Oct →
inferno9–50.0910%21 Oct →
office10–13-0.0311%19 Oct →
office4–130.018%19 Oct →
cache4–13-0.068%19 Oct →
dust211–13-0.0819%19 Oct →
overpass9–4-0.056%19 Oct →
inferno9–5-0.0319%19 Oct →
poseidon4–9-0.059%19 Oct →
ancient11–13-0.0111%19 Oct →
inferno6–9-0.1333%19 Oct →
inferno9–50.023%19 Oct →
overpass9–5-0.1319%19 Oct →
cache10–13-0.0024%18 Oct →
ancient4–13-0.039%18 Oct →
inferno5–13-0.045%18 Oct →
office5–13-0.1418%18 Oct →
inferno7–9-0.0817%18 Oct →
inferno9–7-0.1813%18 Oct →
inferno7–9-0.1329%18 Oct →
inferno5–9-0.145%18 Oct →
overpass8–8-0.0511%18 Oct →
inferno7–9-0.0315%18 Oct →
train7–13-0.058%2 Sept →
inferno1–120.029%1 Sept →
mirage8–13-0.0816%31 Aug →
mirage7–2-0.100%26 Aug →
inferno13–10-0.0119%26 Aug →
inferno13–100.0215%26 Aug →
mirage7–13-0.0810%20 Aug →
overpass7–90.0324%20 Aug →
ancient4–13-0.076%17 Aug →
inferno5–13-0.0118%17 Aug →
ancient11–13-0.0515%16 Aug →
nuke16–14-0.0911%16 Aug →
inferno2–9-0.144%14 Aug →
overpass13–1-0.019%13 Aug →
inferno16–12-0.0511%13 Aug →
nuke7–130.0319%13 Aug →
overpass6–13-0.0413%13 Aug →
inferno6–9-0.0521%13 Aug →
overpass3–13-0.0612%11 Aug →
nuke10–13-0.0913%6 Aug →
ancient13–8-0.0316%6 Aug →
inferno13–5-0.0215%5 Aug →
overpass13–80.0420%5 Aug →
inferno13–20.0024%5 Aug →
train13–50.0118%5 Aug →
ancient12–20.007%4 Aug →
ancient13–70.0114%4 Aug →
inferno7–13-0.0414%3 Aug →
train13–4-0.0213%3 Aug →
inferno13–90.0415%3 Aug →
inferno9–50.1418%3 Aug →
ancient4–130.0112%3 Aug →
inferno3–7-0.018%3 Aug →
jura7–130.004%3 Aug →
ancient13–8-0.0129%2 Aug →
inferno10–13-0.028%2 Aug →
inferno10–13-0.0316%31 Jul →
inferno6–13-0.057%29 Jul →
ancient9–13-0.0211%27 Jul →
inferno13–7-0.0312%27 Jul →
ancient13–80.0014%27 Jul →
ancient13–6-0.0112%27 Jul →
inferno13–9-0.015%27 Jul →
dust29–13-0.036%27 Jul →
ancient16–13-0.0411%26 Jul →
nuke13–50.0313%26 Jul →
inferno7–13-0.0323%26 Jul →
train13–10-0.008%26 Jul →
ancient5–13-0.066%26 Jul →
nuke13–100.0410%26 Jul →
inferno8–13-0.0610%26 Jul →
ancient13–90.0021%26 Jul →
office13–10-0.0128%25 Jul →
inferno13–5-0.0111%25 Jul →
dust213–3-0.085%24 Jul →
ancient11–13-0.0110%24 Jul →
inferno5–9-0.078%24 Jul →
ancient6–13-0.0510%23 Jul →
overpass13–4-0.028%22 Jul →
ancient5–13-0.079%22 Jul →
ancient8–13-0.035%22 Jul →
mirage4–130.0520%21 Jul →
overpass1–9-0.190%21 Jul →
inferno6–9-0.103%20 Jul →
inferno9–20.1623%20 Jul →
inferno9–10.1217%19 Jul →
train13–11-0.0310%18 Jul →

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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