ogKytis

ogKytis — CS2 Stats

FI76561197960288540[U:1:22812]Steam profile ↗✓ No bans

2,210Tracked matches40%Win rate2020Tracked since
3,363Hours in CS7Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,106 → 1,106
+3Tracked matches · now 2,210
0.0ppWin rate · 40.0% → 40.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 5 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,619 -1,954 6 Jan2 Jul · 10 days played
12,69016,043peak 16,0436 Jan2 Jul
Faceit ELO: 1,106 +0 12 Sept14 Sept · 2 observations
1,1061,106peak 1,10612 Sept14 Sept
16,043Peak Premier in tracked matches
1,106Highest Faceit ELO seen on CSDB
41Days played since 2026-01-05

Faceit ELO

  • At peak — 1,106
  • Next: Level 6 at 1,201 95 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-12
  • Level 4 first seen 2026-09-12

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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches43+1
Win rate50%100%−50pp
K/D1.091.17−0.08
Headshot %38%41%−3pp

Measured 14 Sep 202622 Sep 2026; previous 6 Sep 2026 → 14 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGogKytisPEAK ELO1,106csdb.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

Aim57
Positioning46
Utility66

0–100 skill scores via Leetify.

Recent form

COLD39601Last 10039%Win rateLWLLLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · +0.4pp headshot accuracy · −48ms reaction

Win rate down 40pp 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

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 627ms

Last 10

  • 19 · 10% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 671ms

Last 20

  • 614 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 695ms

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: SupportUtility contribution stands above the rest of this profile (+2.1 against its own average).

Aim5.7
Utility6.6
Positioning4.6
Opening Duels2.6
Clutch4.2

Strong CT-side openerEffective flashes

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 75% 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 54% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms 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

Aim5.7
Positioning4.6
Utility6.6
Mechanics6.4
Opening Duels3.0
Win Impact1.7

Composite 4.5/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time690ms−9ms
first ⅓ avg 699ms → last ⅓ avg 690ms
Headshot accuracy15.3%−2.5%
first ⅓ avg 17.8% → last ⅓ avg 15.3%

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

0.12Best match rating · 13–6 · nuke, 3 Feb
31%Best headshot accuracy · 9–13 · overpass, 8 Feb
453msFastest reaction time · 13–3 · ancient, 15 Feb
13–1Biggest win · ancient, 19 Feb

Across the last 100 tracked matches.

Highlights

4Longest win streak
411In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 50% over 22infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC2591636%0.00
ancientB22111150%0.00
infernoD1431121%-0.03
dust2C94544%0.02
overpassD93633%0.00
anubisC83538%-0.00
cacheB84450%0.00
mirage41325%-0.02
train110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,914Lifetime kills
1.14K/D · Top 25% of tracked players
5,014Matches
45.7%Match win rate · Top 50% of tracked players
40.6%Headshot %
17.1%Shot accuracy · Top 25% of tracked players
12,570MVPs
2,093Hours (in match)
7,219Bombs planted
1,485Bombs defused

Most-used weapons

AK-4719,682
P9013,800
AWP6,843
MP76,781
P2502,699
Tec-92,398
Knife2,064

Lifetime map wins

9,511inferno
8,175nuke
5,379vertigo
4,617dust2
1,649train
538cbble
163office
130lake

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

Faceit stats

Combat

589Matches
48%Win rate
1.01Avg K/D
73.3ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
15%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient7845%0.9013.1
Nuke7257%1.0914.8
Inferno5538%0.8412.8
Dust24646%1.0514.7
Overpass4255%1.1016.1
Mirage3631%0.9413.6
Anubis2737%0.8112.1
Vertigo1656%1.1215.4

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.

15.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
40.1%Spray accuracy
78.6%Counter-strafing
9.4°Preaim
688msReaction time
24.1%T opening success
53.9%CT opening success
0.74Enemies flashed / flash
5.6%Flash assists
9.59HE damage / grenade
9.67Flashes / 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

    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 24.0862% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0013%19 Aug
nuke13–11-0.0111%16 Aug
nuke5–13-0.0315%16 Aug
anubis9–130.0110%16 Aug
ancient10–130.0717%11 Aug
ancient5–130.0217%5 Aug
inferno10–13-0.0213%5 Aug
nuke7–13-0.0121%28 Jul
inferno6–13-0.0615%18 Jul
cache10–130.0414%18 Jul
ancient13–50.0321%18 Jul
ancient8–13-0.0319%17 Jul
nuke13–20.036%17 Jul
dust210–130.0118%17 Jul
ancient13–3-0.030%17 Jul
nuke13–30.0719%17 Jul
inferno11–13-0.057%17 Jul
ancient9–130.0025%2 Jul
cache8–13-0.0312%2 Jul
overpass19–160.0014%2 Jul
ancient13–6-0.0112%2 Jul
nuke13–8-0.0219%28 Jun
inferno9–13-0.0610%13 May
ancient13–70.048%13 May
nuke13–60.0117%13 May
nuke6–13-0.0322%13 May
anubis13–60.0916%11 May
nuke12–16-0.0618%11 May
cache13–9-0.0117%9 May
inferno9–5-0.0015%2 May
nuke6–90.0520%2 May
cache8–13-0.0327%2 May
cache13–70.0418%2 May
cache13–8-0.0516%2 May
cache11–130.0227%2 May
cache13–100.0421%2 May
ancient11–13-0.0115%22 Apr
nuke4–13-0.0221%22 Apr
dust213–70.0129%18 Apr
inferno14–160.0214%17 Apr
inferno3–13-0.0713%12 Apr
ancient5–13-0.0310%12 Apr
mirage7–13-0.0713%22 Mar
inferno10–13-0.048%22 Mar
overpass11–13-0.0319%15 Mar
anubis13–50.0229%9 Mar
ancient13–60.0322%9 Mar
overpass13–100.0114%9 Mar
ancient10–13-0.0512%9 Mar
ancient6–13-0.0119%8 Mar
inferno13–8-0.0017%8 Mar
anubis13–7-0.0213%28 Feb
overpass5–130.0216%28 Feb
nuke10–130.0425%19 Feb
ancient13–10.0314%19 Feb
inferno8–13-0.0518%19 Feb
nuke13–110.0414%19 Feb
ancient13–8-0.0112%19 Feb
anubis3–13-0.0711%15 Feb
ancient13–30.0714%15 Feb
dust23–130.0424%15 Feb
inferno11–13-0.0710%14 Feb
mirage13–11-0.0210%14 Feb
nuke13–100.0111%14 Feb
nuke10–130.0011%14 Feb
nuke9–13-0.0118%14 Feb
nuke6–13-0.0426%8 Feb
overpass9–130.0531%8 Feb
ancient6–130.0214%8 Feb
nuke8–130.0015%7 Feb
overpass8–13-0.0517%7 Feb
dust213–70.0227%7 Feb
nuke9–13-0.0314%7 Feb
mirage15–150.0616%6 Feb
dust213–60.0518%4 Feb
nuke13–60.1221%3 Feb
ancient13–10-0.037%3 Feb
inferno13–50.0118%30 Jan
anubis6–13-0.0212%30 Jan
nuke11–13-0.0512%28 Jan
dust27–13-0.0127%26 Jan
inferno2–13-0.0827%26 Jan
mirage2–13-0.0525%24 Jan
anubis11–13-0.0416%24 Jan
ancient10–13-0.0217%23 Jan
overpass14–16-0.0114%19 Jan
anubis5–13-0.0023%19 Jan
nuke6–130.0314%18 Jan
dust29–130.0014%18 Jan
ancient13–6-0.0316%11 Jan
overpass13–80.0614%11 Jan
dust211–130.0011%11 Jan
nuke13–11-0.0222%11 Jan
ancient19–15-0.0123%11 Jan
dust213–40.0719%7 Jan
train13–50.0217%6 Jan
overpass5–13-0.0115%6 Jan
inferno9–13-0.0223%6 Jan
nuke16–190.0315%6 Jan
nuke11–13-0.0215%5 Jan

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 →