kulich

kulich — CS2 Stats

76561198101753213[U:1:141487485]Steam profile ↗✓ No bans

3,384Tracked matches36%Win rate2020Tracked since
4,595Hours in CS
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating14,615Blue band · top ~30.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (6 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: 14,615 -279 28 Jun – 29 Oct · 32 days played
13,83015,000peak 15,00028 Jun29 Oct
15,112Peak Premier in tracked matches
37Days played since 2026-06-28

Premier CS Rating

  • 385 below peak (15,000)
  • -163 over 30 days · steady
  • +453 over 90 days
  • Next: Purple band at 15,000 — 385 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-24
  • Blue band first seen 2026-09-03

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 rate44.1%43.8%44.8%meets
Shot accuracy17.4%12.0%12.4%above
Kill/death ratio0.911.021.030.12 short
Match win rate42.5%44.7%45.2%2.7% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

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.GGkulichFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,615 · Blue bandcsdb.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

Aim54
Positioning56
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWWWLLWTWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +13.4pp headshot accuracy · +5ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 636ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 659ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 656ms

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 (+2.4 against its own average).

Aim5.4
Utility3.3
Positioning5.6
Opening Duels3.8
Clutch0.0

Limited 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: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 64% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 636ms 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

Aim5.4
Positioning5.6
Utility3.3
Mechanics5.5
Opening Duels5.6
Win Impact0.2

Composite 4.4/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time642ms+7ms
first ⅓ avg 635ms → last ⅓ avg 642ms
Headshot accuracy18.7%−0.1%
first ⅓ avg 18.7% → last ⅓ avg 18.7%

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

0.21Best match rating · 9–3 · inferno, 12 Sept →
40%Best headshot accuracy · 9–2 · inferno, 22 Oct →
438msFastest reaction time · 9–13 · inferno, 1 Aug →
13–1Biggest win · mirage, 27 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
4–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2710–1737%-0.02
infernoA2012–860%0.01
nukeC156–940%-0.01
mirageD124–833%-0.00
ancientD103–730%-0.01
cacheS96–367%-0.04
anubisC73–443%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

207,966Lifetime kills
0.91K/D
10,815Matches
42.5%Match win rate
44.1%Headshot % · Top 50% of Level 5 players
17.4%Shot accuracy · Top 25% of Level 5 players
26,553MVPs
4,595Hours (in match)
8,516Bombs planted
1,742Bombs defused

Most-used weapons

Lifetime map wins

36,567inferno
18,781dust2
8,992nuke
2,549cbble
1,997vertigo
1,856train
1,185assault
1,012office

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

Faceit stats

Combat

309Matches
51%Win rate
1.03Avg K/D
83.7ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2667%1.2717.0
Inferno4100%1.3618.0
Anubis20%0.9015.0
Ancient1100%1.8322.0
Mirage10%1.0617.0

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.

17.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
34.3%Spray accuracy
74.7%Counter-strafing
9.5°Preaim
636msReaction time
64.4%T opening success
40.5%CT opening success
0.51Enemies flashed / flash
3.9%Flash assists
10.98HE damage / grenade
1.53Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.5321 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0433%29 Oct →
ancient13–110.0019%29 Oct →
mirage13–10.0824%27 Oct →
nuke8–130.0412%27 Oct →
dust28–130.0131%26 Oct →
inferno9–20.1640%22 Oct →
inferno8–80.1238%22 Oct →
nuke13–9-0.0119%22 Oct →
nuke10–130.0228%22 Oct →
dust25–13-0.0518%19 Oct →
dust213–40.0616%17 Oct →
mirage6–130.008%16 Oct →
dust215–15-0.0715%14 Oct →
inferno7–13-0.0217%14 Oct →
dust29–13-0.0113%14 Oct →
nuke11–13-0.0516%14 Oct →
mirage13–70.0613%13 Oct →
nuke13–5-0.0517%13 Oct →
ancient13–3-0.070%12 Oct →
ancient4–130.0713%8 Oct →
inferno11–13-0.0121%8 Oct →
nuke4–130.0023%8 Oct →
dust27–13-0.053%7 Oct →
dust26–13-0.0516%7 Oct →
anubis11–6-0.0119%7 Oct →
anubis15–150.0718%5 Oct →
nuke13–10.0027%5 Oct →
ancient8–13-0.0114%2 Oct →
inferno9–130.0723%30 Sept →
mirage7–130.0021%30 Sept →
mirage5–13-0.057%29 Sept →
cache6–13-0.128%29 Sept →
mirage2–13-0.0827%23 Sept →
nuke12–16-0.0112%23 Sept →
nuke13–11-0.0631%23 Sept →
dust213–10.0118%23 Sept →
anubis10–13-0.0115%18 Sept →
cache13–110.0914%18 Sept →
ancient10–130.0011%18 Sept →
dust210–130.0117%18 Sept →
dust213–10-0.0527%18 Sept →
cache13–6-0.0127%18 Sept →
dust29–13-0.039%18 Sept →
inferno13–6-0.0112%18 Sept →
dust25–13-0.0235%18 Sept →
dust213–7-0.0129%13 Sept →
inferno3–9-0.2017%12 Sept →
inferno5–9-0.0610%12 Sept →
inferno9–30.2120%12 Sept →
inferno9–50.0829%12 Sept →
inferno9–60.0139%12 Sept →
dust24–13-0.0529%12 Sept →
dust213–90.0416%12 Sept →
dust211–13-0.0514%11 Sept →
inferno13–50.0535%11 Sept →
dust29–130.0128%11 Sept →
mirage8–13-0.0119%10 Sept →
dust216–120.0334%10 Sept →
mirage10–13-0.0317%10 Sept →
mirage13–5-0.0522%3 Sept →
nuke10–13-0.0616%3 Sept →
dust24–13-0.0712%3 Sept →
mirage13–30.0717%29 Aug →
anubis11–13-0.0129%29 Aug →
ancient5–13-0.0614%22 Aug →
cache3–13-0.150%22 Aug →
cache13–7-0.0513%21 Aug →
inferno13–10-0.0126%21 Aug →
inferno13–70.0921%21 Aug →
anubis3–13-0.0623%14 Aug →
inferno9–13-0.0513%14 Aug →
ancient3–13-0.086%14 Aug →
inferno13–100.0234%10 Aug →
dust216–140.0518%10 Aug →
dust27–13-0.0913%9 Aug →
cache11–13-0.1025%9 Aug →
nuke7–13-0.0527%3 Aug →
dust213–4-0.049%1 Aug →
dust213–5-0.0520%1 Aug →
anubis13–9-0.0219%1 Aug →
mirage10–130.0335%1 Aug →
inferno9–13-0.0720%1 Aug →
cache13–5-0.0014%25 Jul →
ancient6–100.0129%25 Jul →
inferno13–1-0.0617%25 Jul →
cache6–1-0.080%25 Jul →
nuke13–70.0226%25 Jul →
nuke8–0-0.010%24 Jul →
anubis13–20.0117%24 Jul →
inferno16–130.0317%24 Jul →
nuke7–130.0827%24 Jul →
dust210–13-0.0026%12 Jul →
dust27–13-0.0129%12 Jul →
mirage10–13-0.0516%9 Jul →
nuke4–13-0.0612%9 Jul →
cache13–30.0818%9 Jul →
dust28–130.0418%29 Jun →
ancient13–10.0515%29 Jun →
inferno13–5-0.0416%29 Jun →
ancient9–13-0.0414%28 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.