Jettanyahu

Jettanyahu — CS2 Stats

76561198968632081[U:1:1008366353]Steam profile ↗✓ No bans

900Tracked matches43%Win rate2021Tracked since
CSDB Rating4.8 DevelopingSupport
FaceitLevel 9 · 1,796 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,232 -492 29 Nov – 13 Jan · 6 days played
9,23210,232peak 10,23229 Nov13 Jan
10,444Peak Premier in tracked matches
1,796Highest Faceit ELO seen on CSDB
57Days played since 2025-11-14

Faceit ELO

  • At peak — 1,796
  • Next: Level 10 at 2,001 — 205 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

Share this profile

CSDB.GGJettanyahuFACEITLevel 9 · 1,796 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,796csdb.gg/stats

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Performance scores

Aim64
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLLLWWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +3.8pp headshot accuracy · −30ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 614ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 617ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 633ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim6.4
Utility5.4
Positioning4.8
Opening Duels2.6
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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 639ms 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

Aim6.4
Positioning4.8
Utility5.4
Mechanics6.3
Opening Duels2.1
Win Impact2.6

Composite 4.8/10 (Developing), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time641ms−10ms
first ⅓ avg 651ms → last ⅓ avg 641ms
Headshot accuracy15.4%−4.8%
first ⅓ avg 20.2% → last ⅓ avg 15.4%

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

0.23Best match rating · 9–5 · nuke, 2 Feb →
48%Best headshot accuracy · 9–13 · overpass, 14 Nov →
453msFastest reaction time · 3–13 · inferno, 22 Dec →
13–2Biggest win · mirage, 12 Dec →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
5–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 59% over 17nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2914–1548%0.01
dust2A1710–759%0.01
anubisB136–746%0.00
infernoB126–650%-0.00
nukeD82–625%0.06
overpassD82–625%0.00
ancientC52–340%0.03
train—40–40%-0.01
vertigo—42–250%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

714Matches
52%Win rate
1.01Avg K/D
75.9ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage19453%1.0014.9
Dust215154%1.0114.3
Anubis10452%1.0315.8
Inferno7047%1.0415.8
Overpass5347%1.0715.9
Ancient5060%0.9614.8
Nuke4540%0.8713.6
Train2948%1.0114.8

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.

15.4%Headshot accuracy
37.7%Accuracy (enemy spotted)
38.5%Spray accuracy
78.2%Counter-strafing
10.6°Preaim
639msReaction time
37.6%T opening success
39.6%CT opening success
0.43Enemies flashed / flash
5.4%Flash assists
9.81HE damage / grenade
10.98Flashes / 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. 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 0.4347 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 37.5889% — below the 40% mark we flag

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 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke0–90.0214%2 Sept →
dust212–160.0618%24 Apr →
mirage13–160.0720%24 Apr →
anubis13–100.0215%24 Apr →
dust213–11-0.0319%16 Apr →
anubis13–100.0214%12 Apr →
overpass13–60.0018%10 Apr →
dust213–90.0412%7 Apr →
nuke5–130.1222%14 Mar →
anubis13–6-0.0117%12 Mar →
anubis10–13-0.0311%12 Mar →
anubis13–90.0321%6 Mar →
inferno13–30.0711%3 Mar →
inferno4–9-0.1013%2 Mar →
nuke13–160.0218%28 Feb →
train12–12-0.0111%25 Feb →
vertigo13–40.116%25 Feb →
mirage2–130.0116%25 Feb →
anubis9–13-0.059%22 Feb →
overpass7–13-0.0114%20 Feb →
overpass10–130.1310%18 Feb →
mirage5–00.1320%18 Feb →
vertigo8–130.1616%18 Feb →
ancient7–130.0323%17 Feb →
nuke3–130.0519%17 Feb →
nuke12–120.0214%16 Feb →
dust24–13-0.0514%14 Feb →
vertigo13–11-0.0020%11 Feb →
vertigo7–90.0318%11 Feb →
nuke13–80.0614%11 Feb →
inferno11–13-0.0314%11 Feb →
mirage9–130.0211%11 Feb →
overpass11–13-0.0317%11 Feb →
dust20–10-0.0819%11 Feb →
anubis9–13-0.0120%10 Feb →
anubis13–50.1116%10 Feb →
mirage13–80.0311%10 Feb →
anubis13–7-0.0313%10 Feb →
dust210–130.052%9 Feb →
dust213–70.1115%9 Feb →
nuke4–9-0.007%9 Feb →
mirage9–13-0.029%7 Feb →
dust213–8-0.0312%7 Feb →
mirage4–13-0.0413%6 Feb →
anubis3–130.0919%6 Feb →
dust211–130.0021%6 Feb →
inferno3–90.1328%2 Feb →
nuke9–50.2322%2 Feb →
ancient12–16-0.0910%1 Feb →
dust24–13-0.027%31 Jan →
inferno4–9-0.0217%31 Jan →
overpass11–13-0.018%31 Jan →
dust213–10-0.0318%25 Jan →
dust213–70.1621%23 Jan →
mirage5–130.1515%23 Jan →
mirage8–130.0216%21 Jan →
anubis6–13-0.0516%20 Jan →
mirage13–10-0.058%16 Jan →
anubis8–13-0.0211%16 Jan →
mirage13–8-0.0019%16 Jan →
mirage12–16-0.0512%15 Jan →
mirage19–17-0.0315%14 Jan →
mirage1–4-0.040%13 Jan →
anubis8–13-0.0419%13 Jan →
dust213–9-0.0416%8 Jan →
mirage13–70.008%7 Jan →
inferno13–50.0923%6 Jan →
inferno13–100.0221%1 Jan →
mirage13–5-0.0318%31 Dec →
inferno13–11-0.0315%31 Dec →
train7–130.0425%31 Dec →
mirage7–130.0313%30 Dec →
dust211–130.0819%30 Dec →
mirage6–13-0.0327%30 Dec →
dust216–120.0222%30 Dec →
mirage14–160.0320%30 Dec →
mirage16–140.0627%29 Dec →
inferno2–13-0.0812%27 Dec →
train8–13-0.0315%27 Dec →
inferno13–8-0.0418%27 Dec →
dust219–15-0.0024%27 Dec →
inferno3–13-0.0727%22 Dec →
mirage10–130.0024%22 Dec →
dust213–6-0.0513%21 Dec →
mirage13–9-0.0630%17 Dec →
overpass14–16-0.0518%15 Dec →
mirage13–80.0425%14 Dec →
mirage13–20.0916%12 Dec →
mirage13–9-0.0014%12 Dec →
overpass13–7-0.094%11 Dec →
mirage5–13-0.0132%3 Dec →
ancient13–90.0218%2 Dec →
mirage6–13-0.0530%30 Nov →
ancient10–130.1410%30 Nov →
mirage13–50.0520%29 Nov →
ancient13–80.0611%29 Nov →
inferno13–70.0315%23 Nov →
train0–13-0.0316%20 Nov →
mirage13–100.0622%20 Nov →
overpass9–130.0648%14 Nov →

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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