KyOya_-

KyOya_- — CS2 Stats

FR76561198011315457[U:1:51049729]Steam profile ↗✓ No bans

642Tracked matches48%Win rate2020Tracked since
2,354Hours in CS8Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

+42Tracked matches · now 642
+7.5ppWin rate · 40.7% → 48.3%

Rating over time

Premier CS Rating: 17,601 +619 19 Jun – 28 Jun · 11 days played
14,99919,999peak 19,99919 Jun28 Jun
19,999Peak Premier in tracked matches
72Days played since 2025-06-19

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate55.0%46.8%48.2%above
Shot accuracy15.1%13.0%13.2%above
Kill/death ratio0.931.061.070.14 short
Match win rate46.8%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKyOya_-FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim84
Positioning74
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY39–51–10Last 10039%Win rateLWLLLWWLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −6.7pp headshot accuracy · +3ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 510ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 505ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 504ms

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 (+1.9 against its own average).

Aim8.4
Utility5.4
Positioning7.4
Opening Duels6.4
Clutch2.6

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

s1mple

Plays most like s1mple 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success.

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. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.4
Positioning7.4
Utility5.4
Mechanics7.3
Opening Duels6.8
Win Impact4.4

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time550ms−76ms
first ⅓ avg 626ms → last ⅓ avg 550ms
Headshot accuracy22.4%−2.3%
first ⅓ avg 24.7% → last ⅓ avg 22.4%

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

0.21Best match rating · 12–12 · nuke, 25 Jun →
43%Best headshot accuracy · 5–13 · cache, 19 Jul →
375msFastest reaction time · 4–13 · nuke, 5 Aug →
13–0Biggest win · mirage, 12 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–2In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 60% over 10ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C228–1436%0.02
infernoD227–1532%0.02
mirageB136–746%0.02
anubisA116–555%0.03
nukeA106–460%0.07
ancientD82–625%0.02
overpassC83–538%0.03
cache—31–233%0.03
train—30–30%0.05

Across the last 100 tracked matches.

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

Lifetime stats

88,853Lifetime kills
0.93K/D
2,656Matches
46.8%Match win rate · Top 50% of Level 8 players
55.0%Headshot % · Top 25% of Level 8 players
15.1%Shot accuracy · Top 50% of Level 8 players
7,491MVPs
2,346Hours (in match)
2,934Bombs planted
834Bombs defused

Most-used weapons

AK-4733,158
AWP13,127
P2502,225
MAC-101,209
FAMAS1,132

Lifetime map wins

6,333inferno
4,936dust2
2,822nuke
1,187vertigo
544train
373cbble
39lake
28office

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

Faceit stats

Combat

474Matches
52%Win rate
1.15Avg K/D
81.9ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis2759%1.3218.3
Dust22446%1.2716.9
Inferno2050%1.2315.3
Mirage1377%1.0715.6
Ancient1155%1.4717.4
Nuke1080%1.5518.2
Cache862%1.2119.3
Vertigo425%0.9214.8

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.

22.0%Headshot accuracy
37.7%Accuracy (enemy spotted)
41.5%Spray accuracy
83.0%Counter-strafing
10.3°Preaim
545msReaction time
61.8%T opening success
52.2%CT opening success
0.61Enemies flashed / flash
5.1%Flash assists
10.30HE damage / grenade
11.03Flashes / match

Recommended for you

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0317%2 Nov →
anubis13–100.0119%21 Oct →
inferno11–130.0316%19 Oct →
mirage7–13-0.0515%16 Oct →
dust24–13-0.0212%14 Oct →
anubis13–30.0413%12 Oct →
mirage13–70.0110%9 Oct →
ancient8–13-0.0121%9 Oct →
anubis19–170.029%9 Oct →
inferno13–100.0130%7 Oct →
dust213–8-0.0226%5 Oct →
ancient13–80.0422%30 Sept →
anubis13–70.0527%30 Sept →
ancient9–130.0223%30 Sept →
anubis11–13-0.0125%28 Sept →
inferno9–13-0.0213%25 Sept →
dust29–130.0229%25 Sept →
anubis13–80.0219%25 Sept →
dust213–90.1218%24 Sept →
dust29–13-0.0329%24 Sept →
inferno13–11-0.0327%22 Sept →
nuke6–130.0528%22 Sept →
dust210–13-0.0326%31 Aug →
dust27–13-0.0221%31 Aug →
inferno5–13-0.0225%31 Aug →
nuke13–80.0825%23 Aug →
cache13–11-0.0036%18 Aug →
dust213–70.0727%18 Aug →
inferno15–150.0428%9 Aug →
dust26–130.0223%9 Aug →
nuke4–13-0.0225%5 Aug →
dust26–13-0.0524%22 Jul →
dust213–70.0831%22 Jul →
cache5–130.0343%19 Jul →
inferno9–130.0232%17 Jul →
anubis13–16-0.0422%16 Jul →
mirage13–00.0241%12 Jul →
dust213–80.0822%10 Jul →
cache12–120.0628%2 Jul →
overpass9–130.0215%30 Jun →
anubis7–13-0.0940%30 Jun →
anubis13–20.1520%28 Jun →
anubis12–120.1024%28 Jun →
inferno6–130.0224%26 Jun →
dust24–13-0.0128%19 Jun →
mirage5–13-0.0320%1 Mar →
anubis3–130.0221%15 Feb →
dust213–60.0733%13 Feb →
inferno13–100.0325%13 Feb →
dust210–130.0134%13 Feb →
inferno13–10-0.0126%12 Feb →
inferno13–60.0317%8 Feb →
overpass13–100.0016%8 Feb →
nuke13–110.0819%1 Feb →
inferno7–130.0728%1 Feb →
mirage3–130.0733%31 Jan →
ancient10–130.0217%30 Jan →
inferno6–130.0214%29 Jan →
mirage7–13-0.0222%27 Jan →
ancient8–130.0333%26 Jan →
overpass13–7-0.0223%26 Jan →
inferno7–130.0319%25 Jan →
dust212–120.0716%22 Jan →
dust210–13-0.0517%15 Jan →
overpass15–150.0834%13 Jan →
overpass6–130.0224%9 Jan →
inferno5–130.0235%7 Jan →
inferno12–120.0421%2 Jan →
nuke3–130.0326%2 Jan →
overpass12–120.1032%2 Jan →
dust212–12-0.0026%28 Dec →
nuke13–80.0623%18 Dec →
mirage13–60.069%14 Dec →
dust27–13-0.0127%11 Dec →
inferno13–80.0021%10 Dec →
mirage13–110.0326%29 Nov →
ancient6–130.0423%31 Oct →
mirage9–13-0.0014%20 Oct →
inferno7–130.0438%12 Oct →
inferno12–120.0323%4 Oct →
train8–130.0833%3 Oct →
inferno10–130.0833%29 Sept →
train3–130.0220%28 Sept →
mirage1–130.0219%21 Sept →
dust213–60.0319%21 Sept →
inferno1–13-0.0817%14 Sept →
mirage5–13-0.0028%14 Sept →
overpass13–10-0.0122%10 Aug →
nuke13–70.0625%17 Jul →
nuke13–90.0831%7 Jul →
inferno13–20.1526%7 Jul →
train10–130.0527%6 Jul →
ancient9–130.0720%6 Jul →
mirage13–100.0621%30 Jun →
ancient13–4-0.0231%30 Jun →
dust213–110.1223%29 Jun →
mirage16–120.0523%29 Jun →
nuke12–120.2140%25 Jun →
overpass9–130.0832%22 Jun →
nuke13–110.0620%19 Jun →

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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