Cydriac

Cydriac — CS2 Stats

GB76561198284266969[U:1:324001241]Steam profile ↗✓ No bans

819Tracked matches47%Win rate2020Tracked since
CSDB Rating2.8 LearningSupport
Premier CS Rating9,039Light Blue band · top ~59.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (9 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: 9,039 -960 29 Mar – 4 Oct · 36 days played
8,72112,034peak 12,03429 Mar4 Oct
12,158Peak Premier in tracked matches
54Days played since 2026-03-29

Premier CS Rating

  • 2,995 below peak (12,034)
  • +318 over 30 days · steady
  • -2,159 over 90 days
  • Next: Blue band at 10,000 — 961 to go
  • Reached: Blue band · Light Blue band
  • Light 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.GGCydriacFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,039 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim19
Positioning32
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLLWLLWLWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −1.9pp headshot accuracy · −26ms 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 -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 703ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 685ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 697ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim1.9
Utility4.7
Positioning3.2
Opening Duels0.0
Clutch3.2

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

ZywOo

Plays most like ZywOo 63% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 725ms 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

Aim1.9
Positioning3.2
Utility4.7
Mechanics5.3
Opening Duels0.0
Win Impact3.9

Composite 2.8/10 (Learning), 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 rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time730ms−11ms
first ⅓ avg 741ms → last ⅓ avg 730ms
Headshot accuracy15.8%−0.2%
first ⅓ avg 16.0% → last ⅓ avg 15.8%

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

0.10Best match rating · 13–5 · nuke, 16 Apr →
43%Best headshot accuracy · 0–8 · mirage, 6 Apr →
516msFastest reaction time · 7–13 · nuke, 12 Apr →
13–0Biggest win · inferno, 6 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
11–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 73% over 15anubisWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB1910–953%-0.05
infernoC156–940%-0.04
nukeS1511–473%-0.02
cacheB147–750%-0.04
dust2C125–742%-0.05
mirageD93–633%-0.03
anubisD70–70%-0.05
vertigo—31–233%-0.10
overpass—21–150%0.01
fachwerk—10–10%-0.09
shelter—10–10%-0.12
train—11–0100%-0.02
office—10–10%-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches
47%Win rate
0.68Avg K/D
59.9ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient729%0.549.0
Inferno757%0.6712.1
Anubis560%0.7011.2
Vertigo367%0.8913.0
Nuke3100%1.2111.7
Mirage250%0.8415.5
Overpass10%0.419.0

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.

14.9%Headshot accuracy
27.8%Accuracy (enemy spotted)
28.1%Spray accuracy
73.8%Counter-strafing
14.4°Preaim
725msReaction time
29.2%T opening success
25.2%CT opening success
0.50Enemies flashed / flash
7.9%Flash assists
6.76HE damage / grenade
5.40Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.3592° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.9198% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 725.4258ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

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

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0311%4 Oct →
mirage11–130.029%4 Oct →
inferno13–11-0.0117%13 Sept →
ancient10–13-0.0712%13 Sept →
ancient14–16-0.074%11 Sept →
mirage13–8-0.0115%10 Sept →
vertigo6–9-0.1731%9 Sept →
inferno13–10-0.0310%5 Sept →
mirage7–13-0.0410%5 Sept →
nuke13–7-0.0640%30 Aug →
nuke13–90.0018%19 Aug →
cache4–13-0.1320%19 Aug →
anubis10–13-0.0416%19 Aug →
ancient10–13-0.0724%9 Aug →
nuke13–11-0.0212%8 Aug →
ancient2–13-0.0023%8 Aug →
inferno13–0-0.0220%6 Aug →
nuke13–6-0.0117%6 Aug →
ancient2–13-0.1222%5 Aug →
cache11–13-0.106%3 Aug →
vertigo13–4-0.0518%1 Aug →
vertigo7–13-0.0811%1 Aug →
anubis3–13-0.0524%1 Aug →
ancient13–90.019%31 Jul →
ancient13–4-0.0914%24 Jul →
nuke9–13-0.0215%24 Jul →
cache13–11-0.1119%20 Jul →
cache7–13-0.086%20 Jul →
fachwerk5–13-0.0919%18 Jul →
cache13–110.0114%18 Jul →
mirage13–3-0.047%16 Jul →
shelter2–13-0.1210%13 Jul →
anubis10–13-0.0718%13 Jul →
dust211–13-0.0435%26 Jun →
ancient13–10.0116%22 Jun →
mirage15–15-0.0223%21 Jun →
overpass13–10.0416%21 Jun →
nuke16–14-0.0511%21 Jun →
ancient13–8-0.080%21 Jun →
dust23–13-0.0615%6 Jun →
inferno8–13-0.0514%6 Jun →
anubis9–13-0.0219%6 Jun →
dust211–13-0.057%5 Jun →
cache13–4-0.0310%3 Jun →
ancient13–9-0.0812%2 Jun →
inferno8–13-0.0117%31 May →
train13–6-0.0218%31 May →
cache7–13-0.0212%31 May →
overpass10–13-0.0220%26 May →
mirage13–4-0.0312%25 May →
dust213–11-0.0729%25 May →
inferno13–60.0129%25 May →
office5–13-0.0913%24 May →
anubis13–16-0.0615%23 May →
ancient5–13-0.109%22 May →
nuke16–14-0.0316%22 May →
inferno6–13-0.116%21 May →
dust212–16-0.1017%20 May →
cache13–10-0.0227%19 May →
ancient7–13-0.0213%17 May →
cache13–30.0020%16 May →
cache13–90.0720%16 May →
anubis11–13-0.0311%4 May →
cache7–13-0.107%4 May →
cache6–13-0.0522%4 May →
cache9–13-0.0413%1 May →
cache13–2-0.0115%29 Apr →
ancient12–160.0217%24 Apr →
anubis11–13-0.0516%23 Apr →
ancient13–11-0.048%23 Apr →
dust215–15-0.0515%22 Apr →
nuke13–10-0.0215%21 Apr →
inferno13–3-0.0825%21 Apr →
inferno10–13-0.0215%20 Apr →
inferno11–130.0111%18 Apr →
ancient13–8-0.0320%18 Apr →
dust23–13-0.0411%18 Apr →
nuke7–13-0.0430%18 Apr →
mirage8–13-0.0918%18 Apr →
dust213–90.0119%18 Apr →
nuke13–50.1012%16 Apr →
ancient13–10-0.0911%16 Apr →
dust213–11-0.0422%12 Apr →
nuke7–13-0.079%12 Apr →
inferno13–16-0.0215%6 Apr →
nuke7–2-0.000%6 Apr →
nuke7–13-0.0414%6 Apr →
mirage0–8-0.0243%6 Apr →
inferno0–7-0.1029%5 Apr →
inferno4–13-0.038%5 Apr →
ancient13–10-0.0212%5 Apr →
dust29–13-0.0111%5 Apr →
dust213–5-0.0222%5 Apr →
mirage11–130.0116%3 Apr →
dust213–4-0.0616%3 Apr →
nuke16–14-0.0412%2 Apr →
ancient2–13-0.0518%2 Apr →
ancient13–7-0.0016%29 Mar →
inferno13–11-0.0319%29 Mar →
nuke13–4-0.066%29 Mar →

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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