Saiyan

Saiyan — CS2 Stats

76561199758528103[U:1:1798262375]Steam profile ↗✓ No bans

2,069Tracked matches54%Win rate2024Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 15,000 +1,831 10 Sept – 16 Oct · 26 days played
11,81215,896peak 15,89610 Sept16 Oct
16,456Peak Premier in tracked matches
26Days played since 2026-09-10

Premier CS Rating

  • 896 below peak (15,896)
  • +1,266 over 30 days · improving
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGSaiyanPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLLLLLLWWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · +129ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 637ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 636ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 572ms

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 (+1.1 against its own average).

Aim5.5
Utility5.1
Positioning5.0
Opening Duels1.8

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 84% 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

Areas to improve

CT openings. Opening success drops from 57% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim5.5
Positioning5.0
Utility5.1
Mechanics5.5
Opening Duels3.7
Win Impact6.2

Composite 5.2/10 (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-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time584ms−2ms
first ⅓ avg 586ms → last ⅓ avg 584ms
Headshot accuracy19.5%−2.0%
first ⅓ avg 21.5% → last ⅓ avg 19.5%

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 · 13–6 · ancient, 9 Oct →
60%Best headshot accuracy · 8–13 · anubis, 6 Oct →
430msFastest reaction time · 13–7 · anubis, 4 Oct →
13–0Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L6Current streak
11–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 86% over 7cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2616–1062%-0.00
mirageC177–1041%-0.02
anubisB179–853%-0.01
dust2C125–742%-0.02
ancientB105–550%0.01
cacheC83–538%-0.00
infernoS76–186%0.01
train—30–30%0.02

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.7%Headshot accuracy
30.9%Accuracy (enemy spotted)
30.8%Spray accuracy
74.6%Counter-strafing
10.7°Preaim
581msReaction time
56.9%T opening success
32.7%CT opening success
0.54Enemies flashed / flash
4.4%Flash assists
10.83HE damage / grenade
9.48Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.6694% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train5–13-0.009%16 Oct →
nuke8–13-0.0826%16 Oct →
dust210–130.0222%16 Oct →
ancient10–130.0324%16 Oct →
ancient7–13-0.0817%16 Oct →
dust27–13-0.0317%16 Oct →
inferno13–00.0413%16 Oct →
mirage13–60.0324%16 Oct →
nuke13–10-0.0614%15 Oct →
ancient13–10-0.0110%15 Oct →
anubis5–13-0.0514%15 Oct →
anubis13–110.0211%15 Oct →
inferno13–7-0.0015%15 Oct →
nuke9–13-0.0515%15 Oct →
ancient11–13-0.0223%15 Oct →
inferno13–16-0.049%13 Oct →
nuke15–15-0.0215%13 Oct →
mirage13–6-0.0218%13 Oct →
anubis13–8-0.0016%13 Oct →
dust211–13-0.0326%13 Oct →
mirage6–13-0.0431%13 Oct →
train12–120.0125%13 Oct →
nuke13–6-0.0218%13 Oct →
dust210–130.0821%9 Oct →
anubis13–110.0123%9 Oct →
anubis13–70.0135%9 Oct →
ancient13–60.1020%9 Oct →
nuke16–130.0726%9 Oct →
nuke13–6-0.0225%9 Oct →
anubis13–11-0.0328%8 Oct →
anubis13–110.0525%8 Oct →
nuke7–130.0319%8 Oct →
cache9–13-0.0511%8 Oct →
cache15–150.0019%7 Oct →
mirage13–50.0720%7 Oct →
anubis9–13-0.0615%7 Oct →
cache9–13-0.0417%7 Oct →
nuke13–60.0720%7 Oct →
cache16–140.0315%7 Oct →
anubis8–130.0360%6 Oct →
train5–80.049%6 Oct →
nuke13–100.0327%6 Oct →
nuke13–50.0319%6 Oct →
nuke7–130.0429%5 Oct →
ancient2–13-0.0814%4 Oct →
nuke13–11-0.0328%4 Oct →
cache13–9-0.0120%4 Oct →
inferno6–2-0.0730%4 Oct →
dust28–13-0.0619%4 Oct →
anubis13–7-0.0315%4 Oct →
inferno13–30.0719%4 Oct →
dust213–50.0227%3 Oct →
nuke13–6-0.0038%3 Oct →
inferno16–120.0523%3 Oct →
inferno13–40.0316%2 Oct →
nuke10–13-0.0716%2 Oct →
nuke5–130.0536%1 Oct →
ancient13–110.0326%1 Oct →
mirage11–13-0.0421%1 Oct →
dust25–13-0.0821%30 Sept →
anubis4–13-0.0525%30 Sept →
mirage13–70.0327%30 Sept →
ancient13–40.0511%30 Sept →
cache11–13-0.0114%30 Sept →
anubis9–130.0224%30 Sept →
nuke13–40.0421%29 Sept →
dust22–13-0.1013%29 Sept →
mirage11–13-0.0715%29 Sept →
dust213–90.0325%29 Sept →
nuke13–60.0621%29 Sept →
anubis15–15-0.0324%28 Sept →
nuke3–13-0.0626%28 Sept →
mirage3–13-0.0331%28 Sept →
dust213–4-0.0327%28 Sept →
mirage13–11-0.0019%28 Sept →
mirage7–13-0.0222%28 Sept →
cache16–14-0.058%26 Sept →
mirage9–00.0238%26 Sept →
dust213–10-0.0311%26 Sept →
nuke11–13-0.0819%23 Sept →
ancient13–50.0421%22 Sept →
mirage14–16-0.0620%21 Sept →
mirage5–13-0.0121%20 Sept →
mirage16–14-0.0320%20 Sept →
cache11–130.0819%20 Sept →
anubis11–13-0.0016%18 Sept →
dust213–100.0226%16 Sept →
mirage6–13-0.0719%14 Sept →
mirage7–13-0.0416%14 Sept →
nuke16–14-0.0036%14 Sept →
nuke13–8-0.0028%14 Sept →
anubis13–7-0.0721%14 Sept →
nuke13–40.0521%14 Sept →
nuke11–130.0213%12 Sept →
anubis13–5-0.049%12 Sept →
nuke13–50.0020%12 Sept →
mirage3–13-0.0241%12 Sept →
anubis4–130.0113%11 Sept →
nuke13–6-0.0134%10 Sept →
ancient11–130.019%10 Sept →

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 →

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