s0d_fyr_12

s0d_fyr_12 — CS2 Stats

76561197992587424[U:1:32321696]Steam profile ↗✓ No bans

2,304Tracked matches33%Win rate2020Tracked since
5,383Hours in CS7Hrs last 2 wks
CSDB Rating5.5 SolidSupport
FaceitLevel 10 · 2,154 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,154 → 2,154
+54Tracked matches · now 2,304
−10.0ppWin rate · 43.3% → 33.3%

Rating over time

Faceit ELO: 2,154 +0 30 Aug – 6 Sept · 2 observations
2,1542,154peak 2,15430 Aug6 Sept
2,154Highest Faceit ELO seen on CSDB
80Days played since 2025-02-19

Faceit ELO

  • At peak — 2,154
  • Next: 2,500 ELO at 2,500 — 346 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate45.0%50.9%
Shot accuracy14.9%13.7%
Kill/death ratio1.071.09
Match win rate49.5%48.4%

Share this profile

CSDB.GGs0d_fyr_12FACEITLevel 10 · 2,154 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,154csdb.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

Aim77
Positioning49
Utility74

0–100 skill scores via Leetify.

Recent form

COLD45–55Last 10045%Win rateLLLLLLLWWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +0.9pp headshot accuracy · −70ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 513ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 559ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

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 (+3 against its own average).

Aim7.7
Utility7.4
Positioning4.9
Opening Duels2.1
Clutch3.4

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 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

Reaction time. 610ms 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

Aim7.7
Positioning4.9
Utility7.4
Mechanics6.1
Opening Duels1.9
Win Impact0.0

Composite 5.5/10 (Solid), 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 -0.00 → last ⅓ avg -0.01
Reaction time602ms−60ms
first ⅓ avg 662ms → last ⅓ avg 602ms
Headshot accuracy17.6%+0.7%
first ⅓ avg 16.9% → last ⅓ avg 17.6%

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

0.09Best match rating · 13–3 · nuke, 2 Jul →
40%Best headshot accuracy · 13–10 · inferno, 1 Jun →
430msFastest reaction time · 16–13 · ancient, 21 Mar →
13–1Biggest win · nuke, 27 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L7Current streak
16–10In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 59% over 27mirageWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
nukeA2716–1159%-0.01
infernoB2110–1148%-0.00
dust2C145–936%-0.02
mirageD133–1023%-0.01
trainB126–650%0.00
ancientA95–456%0.00
vertigo—20–20%-0.04
cache—10–10%-0.04
overpass—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,640Lifetime kills
1.07K/D
5,185Matches
49.5%Match win rate · Top 50% of Level 10 players
45.0%Headshot %
14.9%Shot accuracy · Top 50% of Level 10 players
12,458MVPs
2,661Hours (in match)
5,139Bombs planted
1,224Bombs defused

Most-used weapons

AK-4740,306
AWP13,437
Knife3,771
FAMAS3,099
MP92,029

Lifetime map wins

11,902inferno
11,263nuke
10,130train
8,492vertigo
5,365dust2
505cbble
24shorttrain
16aztec

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

Faceit stats

Combat

4,273Matches
52%Win rate
1.03Avg K/D
81.0ADR
37%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke26559%1.1415.9
Inferno24759%1.0815.5
Dust219152%1.0315.7
Ancient17248%1.0215.5
Mirage14440%0.9415.3
Train10663%1.1716.9
Vertigo9356%1.1215.9
Overpass2245%0.9014.6

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.

17.7%Headshot accuracy
40.6%Accuracy (enemy spotted)
40.0%Spray accuracy
77.3%Counter-strafing
9.3°Preaim
610msReaction time
31.3%T opening success
44.3%CT opening success
0.63Enemies flashed / flash
15.3%Flash assists
10.38HE damage / grenade
9.19Flashes / 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

    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 31.2822% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.0512%27 Sept →
cache5–13-0.046%26 Sept →
ancient9–130.0123%15 Sept →
vertigo10–13-0.0717%10 Sept →
vertigo9–13-0.0022%8 Sept →
nuke5–13-0.0131%28 Jul →
nuke17–19-0.0315%26 Jul →
nuke13–5-0.0017%22 Jul →
mirage13–60.0512%19 Jul →
dust26–13-0.0322%18 Jul →
mirage11–13-0.0417%18 Jul →
dust212–16-0.0219%18 Jul →
mirage10–13-0.067%18 Jul →
inferno13–4-0.0413%18 Jul →
mirage11–13-0.0221%18 Jul →
mirage9–13-0.0614%11 Jul →
ancient13–3-0.0020%8 Jul →
dust210–13-0.0423%8 Jul →
ancient13–50.0818%8 Jul →
ancient13–70.0414%17 Jun →
mirage7–13-0.0233%17 Jun →
ancient13–9-0.0518%15 Jun →
inferno14–16-0.0421%15 Jun →
nuke13–60.0217%8 Jun →
dust213–11-0.037%8 Jun →
mirage7–130.0317%4 Jun →
mirage13–16-0.0213%29 May →
nuke13–10.038%27 May →
nuke10–13-0.0029%25 May →
ancient5–13-0.0125%25 May →
inferno8–13-0.0612%4 May →
nuke13–11-0.039%4 May →
mirage10–13-0.0326%27 Apr →
inferno13–70.0518%21 Apr →
nuke13–7-0.0419%20 Apr →
nuke10–13-0.103%13 Apr →
inferno13–40.0612%6 Apr →
nuke19–17-0.0223%28 Mar →
dust27–13-0.0415%9 Mar →
nuke13–2-0.0519%10 Feb →
overpass8–13-0.0610%9 Feb →
nuke13–16-0.0218%6 Feb →
ancient13–16-0.067%5 Feb →
inferno13–110.0123%31 Jan →
nuke10–13-0.0214%27 Jan →
inferno12–160.0226%15 Jan →
train13–60.0815%6 Jan →
mirage11–130.0220%26 Dec →
nuke20–22-0.0317%19 Dec →
mirage4–13-0.0012%19 Dec →
nuke13–9-0.0324%18 Dec →
train16–140.0116%4 Dec →
inferno7–13-0.059%27 Nov →
inferno13–100.0230%22 Nov →
dust213–80.0516%16 Nov →
nuke13–11-0.0220%1 Nov →
inferno11–130.0216%24 Oct →
train10–13-0.0510%15 Oct →
train7–13-0.0222%13 Oct →
dust29–13-0.0214%8 Oct →
nuke13–70.0114%7 Oct →
nuke5–13-0.0313%6 Oct →
dust213–11-0.0313%3 Oct →
train13–110.0210%23 Sept →
train13–6-0.0418%10 Sept →
train13–110.0513%5 Sept →
dust22–13-0.1022%19 Aug →
train12–16-0.0423%18 Aug →
inferno8–13-0.015%2 Aug →
nuke13–110.0218%1 Aug →
inferno13–90.0511%18 Jul →
mirage22–190.029%18 Jul →
nuke13–5-0.009%13 Jul →
ancient11–13-0.0020%9 Jul →
nuke13–30.0911%2 Jul →
inferno13–70.0320%26 Jun →
inferno11–13-0.0522%13 Jun →
dust213–11-0.0115%13 Jun →
dust216–140.0012%1 Jun →
inferno13–100.0440%1 Jun →
inferno10–130.0223%28 May →
train11–130.0116%27 May →
inferno9–13-0.0214%18 May →
nuke9–130.0414%13 May →
train8–13-0.0324%6 May →
dust28–13-0.0721%24 Apr →
inferno5–13-0.0913%24 Apr →
inferno13–100.0113%21 Apr →
nuke13–11-0.034%20 Apr →
nuke13–40.0523%15 Apr →
train6–120.0110%13 Apr →
train16–140.0515%31 Mar →
inferno8–13-0.0215%24 Mar →
dust27–130.0116%21 Mar →
ancient16–130.0113%21 Mar →
nuke9–130.0117%21 Mar →
nuke13–11-0.0322%21 Mar →
nuke10–13-0.0435%17 Mar →
inferno13–8-0.0624%2 Mar →
mirage19–17-0.0212%19 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 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.