oyda

oyda — CS2 Stats

NO76561198928344555[U:1:968078827]Steam profile ↗✓ No bans

836Tracked matches34%Win rate2021Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating19,999Top 50% of 200,629 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#81120 of 247528 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (18 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: 19,999 +907 24 Aug – 10 Sept · 5 days played
18,85619,999peak 19,99924 Aug10 Sept
19,999Peak Premier in tracked matches
45Days played since 2025-12-05

Premier CS Rating

  • At peak — 19,999
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • 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.

Share this profile

CSDB.GGoydaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning61
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY37–59–4Last 10037%Win rateLWLLTWWWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.1pp headshot accuracy · +42ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

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 (+1.1 against its own average).

Aim6.4
Utility5.1
Positioning6.1
Opening Duels3.9
Clutch5.0

Strong CT-side openerLimited 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

jL

Plays most like jL 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning6.1
Utility5.1
Mechanics4.2
Opening Duels4.6
Win Impact0.0

Composite 5.0/10 (Developing), 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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time566ms−58ms
first ⅓ avg 624ms → last ⅓ avg 566ms
Headshot accuracy16.0%+0.1%
first ⅓ avg 15.9% → last ⅓ avg 16.0%

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

0.16Best match rating · 13–2 · cache, 6 Jul →
34%Best headshot accuracy · 6–13 · mirage, 13 Sept →
344msFastest reaction time · 2–0 · ancient, 10 Aug →
13–2Biggest win · ancient, 6 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 67% over 9mirageWeakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
mirageD194–1521%-0.02
dust2D144–1029%0.00
infernoC135–838%-0.02
nukeD123–925%-0.00
cacheS96–367%0.03
ancientB84–450%0.00
anubisD72–529%-0.00
vertigoA53–260%0.02
overpass—43–175%-0.01
office—20–20%-0.06
train—20–20%-0.02
italy—10–10%-0.06
stronghold—10–10%0.10
warden—11–0100%0.02
alpine—11–0100%0.03
golden—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches
41%Win rate
1.00Avg K/D
79.1ADR
33%Headshot %

Clutches & streaks

45%1v1 clutch win
39%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke825%0.8615.1
Anubis650%0.9916.3
Mirage450%1.0412.3
Ancient333%0.9613.3
Dust2250%1.0716.0
Vertigo250%1.5419.5
Inferno1100%1.3320.0

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.

15.9%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.2%Spray accuracy
68.8%Counter-strafing
8.2°Preaim
569msReaction time
34.6%T opening success
62.0%CT opening success
0.55Enemies flashed / flash
7.4%Flash assists
7.02HE damage / grenade
3.51Flashes / 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 3.5056 — below the 4 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 34.5598% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.105%13 Sept →
vertigo13–40.0415%13 Sept →
inferno5–130.0118%13 Sept →
mirage6–13-0.0134%13 Sept →
cache12–120.0123%10 Sept →
mirage13–50.0319%10 Sept →
dust213–110.0915%10 Sept →
cache13–8-0.0221%3 Sept →
nuke12–16-0.028%3 Sept →
nuke9–13-0.0111%2 Sept →
dust27–130.0413%27 Aug →
dust213–100.0212%24 Aug →
dust213–70.0715%24 Aug →
inferno11–13-0.0618%24 Aug →
mirage14–16-0.0213%23 Aug →
inferno13–70.0020%23 Aug →
mirage11–130.0018%23 Aug →
nuke8–130.0121%23 Aug →
dust211–130.0212%18 Aug →
inferno9–130.0416%16 Aug →
ancient5–13-0.0213%10 Aug →
ancient2–00.1133%10 Aug →
mirage6–13-0.0423%9 Aug →
dust27–13-0.0118%8 Aug →
nuke10–130.0015%8 Aug →
inferno13–16-0.0514%7 Aug →
inferno8–13-0.0015%7 Aug →
cache13–110.0219%7 Aug →
mirage6–13-0.0214%7 Aug →
ancient13–11-0.044%23 Jul →
cache13–160.0014%18 Jul →
ancient0–13-0.125%18 Jul →
mirage12–16-0.0214%11 Jul →
cache13–110.0119%11 Jul →
ancient10–130.0110%10 Jul →
mirage13–110.0227%10 Jul →
inferno16–13-0.0224%10 Jul →
nuke13–70.0520%10 Jul →
cache13–40.0714%10 Jul →
dust26–130.0116%8 Jul →
ancient13–20.1417%6 Jul →
cache13–20.1619%6 Jul →
mirage7–13-0.019%5 Jul →
anubis13–80.0613%5 Jul →
inferno13–11-0.0315%5 Jul →
dust28–13-0.0417%5 Jul →
nuke13–110.0518%5 Jul →
cache13–90.0119%27 Jun →
office6–13-0.0810%27 Jun →
inferno11–13-0.0013%25 Jun →
mirage1–13-0.0430%25 Jun →
anubis5–13-0.0721%23 Jun →
inferno13–50.0830%23 Jun →
anubis8–130.0313%22 Jun →
mirage13–5-0.0612%18 Jun →
vertigo7–9-0.0313%18 Jun →
cache7–130.0114%29 Apr →
anubis8–13-0.0410%27 Apr →
mirage5–13-0.0816%27 Apr →
nuke13–10-0.017%27 Apr →
dust212–120.0122%27 Apr →
mirage7–13-0.0215%14 Apr →
nuke1–13-0.0118%14 Apr →
inferno6–9-0.1426%14 Apr →
overpass9–6-0.042%14 Apr →
vertigo13–20.0711%14 Apr →
overpass10–130.0315%8 Apr →
ancient3–13-0.090%8 Apr →
overpass13–8-0.0110%7 Apr →
vertigo13–60.0112%7 Apr →
italy8–13-0.0616%7 Apr →
inferno8–13-0.0325%1 Apr →
mirage2–13-0.086%1 Apr →
mirage11–130.0111%29 Mar →
mirage9–13-0.0424%28 Mar →
anubis5–13-0.046%30 Jan →
nuke8–8-0.0723%28 Jan →
anubis13–40.0614%28 Jan →
stronghold2–30.105%28 Jan →
warden13–30.0215%28 Jan →
ancient13–70.0111%28 Jan →
anubis11–13-0.0020%28 Jan →
alpine13–50.0318%27 Jan →
office12–12-0.0424%26 Jan →
overpass13–7-0.0331%25 Jan →
dust26–13-0.0413%25 Jan →
mirage2–13-0.0332%24 Jan →
nuke8–13-0.0325%4 Jan →
train4–13-0.0311%4 Jan →
mirage2–13-0.0120%31 Dec →
dust213–9-0.0020%31 Dec →
mirage13–80.0118%31 Dec →
train9–13-0.0115%30 Dec →
nuke6–13-0.0214%30 Dec →
golden13–6-0.069%28 Dec →
inferno13–11-0.0313%28 Dec →
dust28–13-0.0319%28 Dec →
vertigo6–13-0.0015%7 Dec →
dust24–13-0.0413%7 Dec →
nuke10–13-0.0117%5 Dec →

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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