jalotahtitorttune66

jalotahtitorttune66 — CS2 Stats

FI76561199013369249[U:1:1053103521]Steam profile ↗✓ No bans

726Tracked matches52%Win rate2023Tracked since
1,573Hours in CS10Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
Premier CS Rating7,743Light Blue band · top ~65.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (3 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: 7,743 -1,333 15 Jul – 9 Oct · 26 days played
7,23911,768peak 11,76815 Jul9 Oct
11,900Peak Premier in tracked matches
865Highest Faceit ELO seen on CSDB
29Days played since 2026-07-15

Faceit ELO

  • At peak — 865
  • Next: Level 4 at 901 — 36 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 4,025 below peak (11,768)
  • -228 over 30 days · steady
  • -1,333 over 90 days
  • Next: Blue band at 10,000 — 2,257 to go
  • Reached: Blue band · Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate37.8%39.9%42.0%4.2% short
Shot accuracy6.6%7.0%9.6%3.0% short
Kill/death ratio0.910.920.980.07 short
Match win rate44.1%42.3%43.8%meets

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGjalotahtitorttune66PREMIER7,743 · Light Blue bandPEAK ELO865csdb.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

Aim36
Positioning50
Utility42

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateLWTTWLLWLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +3.7pp headshot accuracy · −77ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 613ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 607ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 645ms

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 (+1.1 against its own average).

Aim3.6
Utility4.2
Positioning5.0
Opening Duels1.7
Clutch4.6

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

ZywOo

Plays most like ZywOo 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 51% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.6
Positioning5.0
Utility4.2
Mechanics3.0
Opening Duels2.6
Win Impact5.6

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time655ms−18ms
first ⅓ avg 672ms → last ⅓ avg 655ms
Headshot accuracy10.1%+1.3%
first ⅓ avg 8.8% → last ⅓ avg 10.1%

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

0.14Best match rating · 13–8 · inferno, 7 Aug →
36%Best headshot accuracy · 2–13 · train, 8 Oct →
516msFastest reaction time · 13–6 · ancient, 19 Sept →
13–1Biggest win · cache, 8 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 70% over 10anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
nukeC2812–1643%-0.02
ancientC197–1237%-0.02
anubisD175–1229%-0.04
infernoC125–742%0.01
cacheS107–370%-0.01
dust2C73–443%-0.04
mirage—33–0100%-0.01
vertigo—21–150%-0.03
train—20–20%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,695Lifetime kills
0.91K/D
2,580Matches
44.1%Match win rate · Top 50% of Light Blue band
37.8%Headshot %
6.6%Shot accuracy
6,315MVPs
712Hours (in match)
1,952Bombs planted
479Bombs defused

Most-used weapons

Lifetime map wins

3,937nuke
3,407inferno
1,840dust2
1,271lake
1,015vertigo
670train
178office
130militia

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

Faceit stats

Combat

16Matches
31%Win rate
0.54Avg K/D
60.4ADR
34%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke475%0.5910.3
Mirage40%0.346.5
Dust220%0.428.5
Inferno20%0.7016.5
Ancient10%0.357.0
Anubis1100%1.4333.0
Cache10%0.295.0
Vertigo1100%0.539.0

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.

10.5%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.2%Spray accuracy
63.6%Counter-strafing
11.0°Preaim
652msReaction time
50.5%T opening success
30.4%CT opening success
0.50Enemies flashed / flash
1.8%Flash assists
9.75HE damage / grenade
6.99Flashes / 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 10.5345% — below the 15% mark we flag

    Aim Training →
  2. 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 0.497 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.4308% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0716%9 Oct →
cache13–70.0013%9 Oct →
vertigo12–120.0210%8 Oct →
inferno12–120.0714%8 Oct →
dust213–110.009%8 Oct →
inferno7–9-0.117%8 Oct →
ancient8–130.018%8 Oct →
cache13–10.036%8 Oct →
train9–13-0.0515%8 Oct →
train2–13-0.0836%8 Oct →
mirage13–8-0.033%7 Oct →
nuke11–13-0.0113%7 Oct →
dust214–16-0.0511%3 Oct →
anubis13–2-0.015%3 Oct →
nuke5–13-0.108%19 Sept →
ancient5–13-0.117%19 Sept →
dust216–13-0.0512%19 Sept →
inferno15–150.0310%19 Sept →
ancient13–11-0.0014%19 Sept →
ancient13–6-0.0014%19 Sept →
nuke11–13-0.0311%12 Sept →
ancient10–13-0.0010%12 Sept →
ancient4–13-0.017%12 Sept →
vertigo13–9-0.0712%11 Sept →
nuke13–8-0.0311%11 Sept →
dust216–130.018%28 Aug →
inferno9–2-0.010%23 Aug →
nuke13–160.005%9 Aug →
anubis13–110.039%9 Aug →
nuke7–130.0110%8 Aug →
inferno13–80.148%7 Aug →
nuke13–80.005%7 Aug →
ancient15–15-0.037%7 Aug →
inferno5–9-0.057%6 Aug →
dust210–13-0.0611%6 Aug →
nuke11–130.045%5 Aug →
anubis3–13-0.043%5 Aug →
ancient8–13-0.045%4 Aug →
nuke16–13-0.026%4 Aug →
cache13–8-0.043%4 Aug →
ancient8–13-0.012%4 Aug →
cache12–60.017%4 Aug →
nuke0–13-0.080%4 Aug →
ancient10–13-0.088%4 Aug →
nuke4–130.002%4 Aug →
cache13–10-0.0213%4 Aug →
anubis10–13-0.138%4 Aug →
anubis13–50.058%3 Aug →
ancient13–8-0.021%3 Aug →
nuke7–13-0.039%3 Aug →
ancient8–13-0.015%2 Aug →
anubis2–13-0.0412%2 Aug →
anubis11–130.013%2 Aug →
dust25–13-0.0712%2 Aug →
mirage16–14-0.026%2 Aug →
anubis1–13-0.1219%1 Aug →
inferno13–4-0.0212%1 Aug →
nuke11–130.0215%1 Aug →
nuke13–100.0112%1 Aug →
ancient13–110.0113%1 Aug →
nuke8–80.074%31 Jul →
inferno10–130.0214%31 Jul →
anubis0–13-0.090%30 Jul →
ancient8–13-0.016%30 Jul →
anubis5–13-0.073%30 Jul →
anubis4–13-0.095%29 Jul →
nuke10–13-0.0311%29 Jul →
nuke13–110.0119%29 Jul →
anubis5–13-0.055%28 Jul →
ancient0–5-0.067%28 Jul →
nuke13–110.025%28 Jul →
anubis6–13-0.0312%27 Jul →
nuke9–7-0.0516%23 Jul →
cache9–13-0.065%19 Jul →
anubis13–9-0.049%19 Jul →
cache13–11-0.059%19 Jul →
nuke11–13-0.0411%19 Jul →
ancient13–7-0.020%19 Jul →
nuke13–110.028%19 Jul →
anubis13–4-0.0210%19 Jul →
ancient13–8-0.035%19 Jul →
cache13–40.0410%19 Jul →
mirage13–110.0110%19 Jul →
inferno10–13-0.018%19 Jul →
anubis8–13-0.0111%19 Jul →
nuke10–13-0.083%19 Jul →
ancient13–10-0.0410%19 Jul →
nuke13–3-0.066%18 Jul →
nuke6–13-0.004%18 Jul →
anubis12–16-0.026%18 Jul →
cache5–130.0615%18 Jul →
inferno8–13-0.0418%18 Jul →
nuke16–14-0.0210%18 Jul →
nuke13–3-0.090%18 Jul →
ancient8–130.0116%17 Jul →
cache8–13-0.067%17 Jul →
inferno16–120.043%16 Jul →
inferno13–60.019%16 Jul →
dust23–13-0.086%16 Jul →
nuke13–6-0.0218%15 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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