Jytkim

Jytkim — CS2 Stats

DK76561199080237345[U:1:1119971617]Steam profile ↗✓ No bans

1,424Tracked matches45%Win rate2021Tracked since
CSDB Rating4.6 DevelopingAll-Rounder
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,728 → 1,728
+2Tracked matches · now 1,424
0.0ppWin rate · 44.8% → 44.8%

Rating over time

Premier CS Rating: 23,791 +2,069 9 Jun – 4 Sept · 10 days played
20,45524,353peak 24,3539 Jun4 Sept
Faceit ELO: 1,728 +0 29 Aug – 18 Sept · 3 observations
1,7281,728peak 1,72829 Aug18 Sept
24,353Peak Premier in tracked matches
1,728Highest Faceit ELO seen on CSDB
52Days played since 2025-11-18

Faceit ELO

  • At peak — 1,728
  • Next: Level 9 at 1,751 — 23 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-29
  • Level 7 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGJytkimPEAK ELO1,728csdb.gg/stats

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Performance scores

Aim65
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLWLLLLLLLL

Last 10 vs previous 10: −60pp win rate · −0.04 avg rating · −2.3pp headshot accuracy · −45ms reaction

Win rate down 60pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 23%
  • Avg reaction 655ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 627ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 24%
  • Avg reaction 650ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.5
Utility4.4
Positioning4.4
Opening Duels3.3
Clutch3.4

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 92% 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

T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms 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

Aim6.5
Positioning4.4
Utility4.4
Mechanics4.8
Opening Duels2.6
Win Impact3.3

Composite 4.6/10 (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 rating-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time639ms−42ms
first ⅓ avg 681ms → last ⅓ avg 639ms
Headshot accuracy23.9%−2.1%
first ⅓ avg 26.0% → last ⅓ avg 23.9%

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

0.45Best match rating · 9–1 · sanctum, 6 May →
50%Best headshot accuracy · 7–9 · vertigo, 2 May →
344msFastest reaction time · 5–13 · nuke, 20 Nov →
13–0Biggest win · dust2, 18 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–13In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 71% over 7nukeWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
nukeD173–1418%0.01
ancientB147–750%0.00
infernoC125–742%-0.03
sanctumD124–833%0.01
mirageS96–367%-0.03
overpassS96–367%-0.03
dust2S75–271%-0.02
cacheB63–350%-0.01
anubis—43–175%-0.01
vertigo—41–325%0.01
poseidon—21–150%-0.02
train—21–150%0.01
alpine—10–10%-0.05
warden—11–0100%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,532Matches
51%Win rate
0.91Avg K/D
70.7ADR
54%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient18353%0.9014.1
Nuke12451%0.8613.4
Inferno9641%0.7813.9
Anubis8042%0.8713.8
Train8054%0.9414.8
Overpass7256%0.9414.6
Dust26448%0.7613.6
Mirage5256%0.8814.1

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.

24.6%Headshot accuracy
33.0%Accuracy (enemy spotted)
32.5%Spray accuracy
71.6%Counter-strafing
8.9°Preaim
631msReaction time
32.2%T opening success
48.2%CT opening success
0.47Enemies flashed / flash
3.8%Flash assists
10.63HE damage / grenade
7.46Flashes / 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 0.4689 — 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 32.2326% — 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.

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0929%5 Sept →
cache13–11-0.0520%5 Sept →
ancient7–13-0.0711%26 Aug →
nuke4–13-0.0536%25 Jun →
inferno3–13-0.0217%25 Jun →
nuke8–13-0.0526%22 Jun →
inferno8–130.0524%22 Jun →
nuke8–13-0.0137%22 Jun →
nuke7–9-0.1115%20 Jun →
inferno3–6-0.1214%20 Jun →
inferno13–1-0.0138%19 Jun →
anubis13–10-0.1517%19 Jun →
dust213–1-0.0230%18 Jun →
dust213–0-0.015%18 Jun →
mirage13–0-0.0126%18 Jun →
anubis13–10.0337%18 Jun →
inferno10–13-0.0515%18 Jun →
ancient10–13-0.0129%18 Jun →
cache13–110.0526%17 Jun →
anubis6–13-0.0029%17 Jun →
mirage13–7-0.0112%16 Jun →
overpass13–60.0141%16 Jun →
nuke15–15-0.0133%14 Jun →
inferno9–13-0.0325%10 Jun →
nuke11–130.0221%10 Jun →
mirage8–13-0.0426%10 Jun →
ancient6–13-0.0420%10 Jun →
inferno13–7-0.1020%9 Jun →
ancient13–16-0.0223%9 Jun →
mirage13–10-0.0125%9 Jun →
ancient13–10.0624%6 Jun →
cache6–130.0224%28 May →
cache7–13-0.0814%14 May →
nuke7–90.1527%7 May →
sanctum3–9-0.0621%6 May →
sanctum7–9-0.026%6 May →
sanctum9–10.4525%6 May →
sanctum9–70.0124%6 May →
sanctum8–80.0335%4 May →
sanctum9–5-0.0118%4 May →
sanctum9–70.0621%4 May →
alpine3–3-0.0527%3 May →
warden13–10-0.0523%3 May →
nuke3–9-0.0618%3 May →
poseidon7–9-0.0727%3 May →
sanctum7–9-0.0719%3 May →
cache9–130.0037%3 May →
vertigo1–7-0.0327%3 May →
sanctum6–9-0.0526%3 May →
sanctum2–9-0.0819%3 May →
sanctum4–9-0.0820%3 May →
vertigo10–130.0124%2 May →
cache13–11-0.0022%2 May →
vertigo7–90.0450%2 May →
nuke9–20.2122%2 May →
vertigo9–60.0130%2 May →
sanctum3–9-0.0723%1 May →
poseidon9–60.0317%1 May →
overpass9–5-0.096%1 May →
ancient17–19-0.0127%25 Apr →
overpass13–70.0018%18 Apr →
mirage13–110.0222%17 Apr →
dust213–11-0.0421%6 Apr →
anubis16–120.0723%4 Apr →
ancient13–10-0.0128%1 Apr →
ancient13–7-0.0616%30 Mar →
inferno13–7-0.0326%25 Mar →
nuke13–8-0.0121%20 Mar →
inferno6–130.0433%20 Mar →
overpass13–4-0.0132%20 Mar →
dust26–130.0124%19 Mar →
dust24–00.0617%19 Mar →
inferno13–10-0.0231%19 Mar →
mirage13–8-0.0535%18 Mar →
ancient13–100.0735%17 Mar →
ancient11–130.1017%16 Mar →
ancient13–6-0.0147%16 Mar →
ancient13–80.0329%15 Mar →
nuke10–13-0.0038%13 Mar →
ancient13–80.0420%12 Mar →
overpass2–13-0.0817%9 Mar →
mirage7–13-0.0118%9 Mar →
inferno13–5-0.0128%9 Mar →
nuke7–90.0533%2 Mar →
overpass13–80.0019%26 Feb →
nuke9–40.0636%24 Feb →
inferno6–13-0.0232%22 Feb →
mirage13–9-0.0533%16 Dec →
ancient2–13-0.0521%11 Dec →
overpass13–20.0322%2 Dec →
nuke8–13-0.0428%2 Dec →
dust213–6-0.0513%30 Nov →
dust29–13-0.0911%27 Nov →
train8–130.0123%26 Nov →
overpass9–13-0.0531%23 Nov →
train13–50.0032%20 Nov →
nuke7–90.0225%20 Nov →
nuke5–13-0.0613%20 Nov →
nuke11–130.0732%19 Nov →
overpass5–13-0.0513%18 Nov →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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