Saynoies

Saynoies — CS2 Stats

76561199315380999[U:1:1355115271]Steam profile ↗✓ No bans

601Tracked matches67%Win rate2023Tracked since
1,842Hours in CS27Hrs last 2 wks
CSDB Rating7.6 StrongSupport
Premier CS Rating21,288Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#66350 of 260014 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (7 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: 21,288 +4,017 21 Mar – 29 Oct · 40 days played
16,46421,288peak 21,28821 Mar29 Oct
21,288Peak Premier in tracked matches
53Days played since 2026-03-21

Premier CS Rating

  • At peak — 21,288
  • +3,970 over 30 days · improving
  • Next: Red band at 25,000 — 3,712 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate44.1%42.7%43.8%meets
Shot accuracy4.5%11.2%12.0%7.5% short
Kill/death ratio0.930.991.020.08 short
Match win rate33.9%43.9%44.7%10.8% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSaynoiesFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER21,288 · Pink bandcsdb.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

Aim76
Positioning66
Utility81

0–100 skill scores via Leetify.

Recent form

STEADY61–31–8Last 10061%Win rateWWWWWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.5pp headshot accuracy · +53ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 540ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 562ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 535ms

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 (+2.6 against its own average).

Aim7.6
Utility8.1
Positioning6.6
Opening Duels4.0
Clutch3.2

Strong CT-side openerEffective flashesHigh utility contribution

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

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

Reaction time. 556ms 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

Aim7.6
Positioning6.6
Utility8.1
Mechanics7.2
Opening Duels5.5
Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time547ms−53ms
first ⅓ avg 599ms → last ⅓ avg 547ms
Headshot accuracy13.6%+0.4%
first ⅓ avg 13.2% → last ⅓ avg 13.6%

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

0.13Best match rating · 13–5 · dust2, 27 Jun →
50%Best headshot accuracy · 0–5 · inferno, 13 Sept →
352msFastest reaction time · 13–6 · ancient, 9 Oct →
13–1Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
4–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 86% over 7infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A3018–1260%0.03
ancientS1813–572%-0.01
infernoD155–1033%-0.01
mirageA138–562%0.01
anubisS76–186%0.00
nukeS65–183%0.01
cacheS65–183%0.02
overpass—30–30%0.01
office—11–0100%0.10
vertigo—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,868Lifetime kills
0.93K/D
1,262Matches
33.9%Match win rate
44.1%Headshot % · Top 50% of Level 4 players
4.5%Shot accuracy
1,846MVPs
445Hours (in match)
697Bombs planted
201Bombs defused

Most-used weapons

Lifetime map wins

1,753inferno
1,653dust2
595vertigo
534nuke
260train
65office
13ar_baggage
11ar_shoots

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

Faceit stats

Combat

140Matches
49%Win rate
1.13Avg K/D
78.9ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2442%1.0114.7
Inferno1878%1.4216.9
Anubis1362%1.0814.8
Ancient1145%1.2215.3
Vertigo944%1.4019.4
Dust2450%1.5421.3
Nuke333%1.5920.0
Overpass250%1.8613.0

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.

13.8%Headshot accuracy
37.2%Accuracy (enemy spotted)
38.2%Spray accuracy
82.5%Counter-strafing
9.0°Preaim
556msReaction time
48.5%T opening success
55.6%CT opening success
0.73Enemies flashed / flash
13.7%Flash assists
11.75HE damage / grenade
21.70Flashes / 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. 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 13.8274% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0013%29 Oct →
nuke13–70.0116%28 Oct →
cache13–90.0221%28 Oct →
ancient13–60.0418%24 Oct →
nuke13–3-0.017%24 Oct →
inferno9–13-0.0418%21 Oct →
ancient16–130.0320%21 Oct →
dust29–13-0.0117%18 Oct →
dust211–13-0.0212%18 Oct →
inferno9–130.0111%18 Oct →
mirage13–1-0.048%11 Oct →
inferno13–8-0.0110%10 Oct →
cache10–13-0.0310%10 Oct →
ancient13–6-0.0314%9 Oct →
dust215–150.0021%9 Oct →
mirage13–6-0.0212%9 Oct →
cache13–100.006%5 Oct →
mirage13–20.1014%5 Oct →
dust211–13-0.0112%4 Oct →
nuke13–60.0911%4 Oct →
inferno13–70.0322%4 Oct →
cache13–80.0315%30 Sept →
dust210–13-0.0114%27 Sept →
anubis13–6-0.0112%22 Sept →
dust213–160.0715%20 Sept →
ancient13–1-0.019%13 Sept →
anubis13–70.0510%13 Sept →
inferno0–5-0.1050%13 Sept →
mirage15–15-0.047%12 Sept →
ancient15–15-0.0212%12 Sept →
mirage2–00.000%12 Sept →
dust213–7-0.0610%12 Sept →
anubis13–6-0.024%8 Sept →
ancient5–5-0.0425%8 Sept →
inferno7–13-0.039%8 Sept →
office13–60.1018%4 Sept →
ancient0–4-0.0614%31 Aug →
ancient13–10-0.0113%24 Aug →
cache13–70.0920%10 Aug →
dust28–130.065%9 Aug →
dust213–100.0315%8 Aug →
dust213–10.087%8 Aug →
ancient13–3-0.028%8 Aug →
vertigo11–130.0329%2 Aug →
nuke13–11-0.009%19 Jul →
dust210–13-0.0316%12 Jul →
dust213–50.1320%27 Jun →
ancient0–13-0.080%25 Jun →
mirage13–40.056%25 Jun →
anubis13–9-0.028%25 Jun →
mirage4–13-0.093%25 Jun →
mirage13–60.1113%20 Jun →
mirage15–150.048%20 Jun →
dust213–110.0317%8 Jun →
ancient11–130.0414%7 Jun →
anubis13–80.0610%6 Jun →
ancient13–70.0013%3 Jun →
mirage9–13-0.068%30 May →
ancient13–60.0115%25 May →
mirage13–20.0119%23 May →
inferno6–00.000%22 May →
nuke16–13-0.0413%17 May →
inferno15–150.037%16 May →
mirage13–8-0.0122%16 May →
dust215–150.056%15 May →
inferno6–130.049%15 May →
inferno16–140.0513%15 May →
dust213–20.028%15 May →
anubis11–13-0.0516%9 May →
dust213–80.0615%2 May →
cache13–60.0326%2 May →
dust213–100.0110%2 May →
inferno11–130.024%27 Apr →
inferno3–13-0.063%18 Apr →
dust213–80.0710%18 Apr →
dust212–160.0418%18 Apr →
overpass10–130.0517%18 Apr →
anubis13–40.019%18 Apr →
dust213–80.0610%11 Apr →
dust213–90.0013%3 Apr →
ancient13–10-0.0315%3 Apr →
overpass15–15-0.0016%3 Apr →
ancient13–1-0.057%1 Apr →
dust213–40.0512%30 Mar →
overpass10–13-0.0215%30 Mar →
ancient13–40.0510%30 Mar →
ancient13–4-0.0111%30 Mar →
nuke1–130.0016%30 Mar →
dust213–5-0.015%28 Mar →
mirage15–150.0613%28 Mar →
ancient13–50.0220%27 Mar →
dust216–130.0116%27 Mar →
inferno13–8-0.008%23 Mar →
dust213–90.0830%23 Mar →
dust213–80.0715%23 Mar →
dust211–13-0.0110%22 Mar →
inferno11–13-0.0513%22 Mar →
dust29–130.0116%21 Mar →
dust213–80.0512%21 Mar →
inferno9–130.0218%21 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.