byer

byer — CS2 Stats

76561197960388283[U:1:122555]Steam profile ↗✓ No bans

2,037Tracked matches48%Win rate2022Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating20,525Top 50% of 212,133 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#75943 of 258997 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2025 (392 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

20,525Peak Premier in tracked matches
52Days played since 2025-06-10

Premier CS Rating

  • At peak — 20,525
  • Next: Red band at 25,000 — 4,475 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.

Share this profile

CSDB.GGbyerFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,525 · Pink bandcsdb.gg/stats

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Performance scores

Aim62
Positioning48
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY52–39–9Last 10052%Win rateWWWWLLWLWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +1.1pp headshot accuracy · −15ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 606ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 613ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

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 (+1.7 against its own average).

Aim6.2
Utility6.6
Positioning4.8
Opening Duels3.3
Clutch5.0

Strong CT-side opener

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 83% 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

T-side openings. Opening success drops from 58% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.2
Positioning4.8
Utility6.6
Mechanics6.1
Opening Duels3.5
Win Impact4.4

Composite 5.6/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time614ms−9ms
first ⅓ avg 624ms → last ⅓ avg 614ms
Headshot accuracy19.9%+4.3%
first ⅓ avg 15.6% → last ⅓ avg 19.9%

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

0.18Best match rating · 13–1 · jura, 10 Jun →
32%Best headshot accuracy · 13–1 · overpass, 18 Dec →
461msFastest reaction time · 12–12 · train, 8 Nov →
13–1Biggest win · overpass, 18 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
5–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 71% over 7infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A1811–761%0.03
trainC177–1041%0.00
mirageA169–756%-0.01
infernoC145–936%0.03
ancientB136–746%0.02
nukeS96–367%0.04
overpassS75–271%0.02
jura—22–0100%0.15
anubis—21–150%-0.02
agency—10–10%-0.03
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

151Matches
55%Win rate
1.33Avg K/D
84.0ADR
43%Headshot %

Clutches & streaks

45%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis3435%1.2317.0
Ancient3148%1.2119.0
Nuke3077%1.2316.7
Dust21974%1.2815.1
Vertigo1250%1.4517.3
Mirage875%2.4615.6
Inferno850%1.5315.1
Train743%1.2618.7

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.

19.3%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.3%Spray accuracy
77.6%Counter-strafing
10.8°Preaim
610msReaction time
24.0%T opening success
57.9%CT opening success
0.61Enemies flashed / flash
9.1%Flash assists
10.01HE damage / grenade
11.32Flashes / 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 23.9523% — below the 40% mark we flag

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–90.0223%29 Dec →
inferno13–20.0816%29 Dec →
nuke13–110.0413%29 Dec →
train13–9-0.0111%29 Dec →
ancient10–130.0222%29 Dec →
ancient7–13-0.0421%28 Dec →
train13–4-0.0329%28 Dec →
nuke7–130.0421%18 Dec →
overpass13–10.0532%18 Dec →
ancient3–130.0719%18 Dec →
mirage10–13-0.0413%18 Dec →
overpass7–13-0.0019%18 Dec →
train13–8-0.0213%17 Dec →
inferno13–30.1120%15 Dec →
dust23–13-0.0129%15 Dec →
train9–10.0726%15 Dec →
train5–130.0616%14 Dec →
inferno9–130.0721%13 Dec →
train12–12-0.0125%13 Dec →
train11–13-0.0614%30 Nov →
ancient13–100.0622%29 Nov →
mirage4–13-0.0228%23 Nov →
dust25–40.1024%23 Nov →
train1–13-0.0018%23 Nov →
train4–130.0222%22 Nov →
overpass12–12-0.039%15 Nov →
inferno13–40.0820%15 Nov →
train9–13-0.0414%15 Nov →
ancient12–120.0419%15 Nov →
mirage13–9-0.0517%12 Nov →
mirage0–13-0.0714%11 Nov →
train13–20.1027%10 Nov →
dust213–40.0521%10 Nov →
ancient13–100.0222%10 Nov →
ancient10–13-0.0221%9 Nov →
ancient13–6-0.0122%9 Nov →
ancient13–90.0715%8 Nov →
dust213–60.0312%8 Nov →
train12–12-0.0319%8 Nov →
train6–00.0417%8 Nov →
mirage13–7-0.0223%8 Nov →
inferno6–13-0.0614%29 Oct →
train13–110.0518%29 Oct →
train12–12-0.0125%28 Oct →
mirage13–30.0422%27 Oct →
nuke13–100.0712%27 Oct →
mirage10–130.0720%26 Oct →
mirage13–10-0.0119%26 Oct →
dust213–70.0320%25 Oct →
mirage13–40.0624%25 Oct →
mirage9–13-0.0421%25 Oct →
mirage13–5-0.0120%11 Oct →
nuke16–130.069%11 Oct →
mirage13–6-0.0318%4 Oct →
ancient13–60.0419%4 Oct →
inferno11–13-0.0313%4 Oct →
mirage9–13-0.0321%1 Oct →
dust213–70.0725%30 Sept →
mirage13–9-0.0413%27 Sept →
inferno8–13-0.0216%27 Sept →
nuke16–140.0317%24 Sept →
dust29–130.0313%13 Sept →
inferno10–13-0.0213%13 Sept →
dust28–130.008%23 Aug →
train12–120.0222%21 Aug →
dust213–100.0123%19 Aug →
overpass13–70.0312%18 Aug →
overpass13–40.0511%17 Aug →
dust24–130.0218%17 Aug →
dust213–80.0213%16 Aug →
inferno13–60.0412%16 Aug →
nuke8–13-0.0215%13 Aug →
mirage13–9-0.0112%9 Aug →
dust213–60.0712%9 Aug →
dust212–120.0419%7 Aug →
agency7–13-0.0317%6 Aug →
inferno11–130.0415%6 Aug →
train1–13-0.0814%6 Aug →
nuke13–90.0113%5 Aug →
dust29–130.0219%2 Aug →
ancient15–150.0324%2 Aug →
vertigo3–13-0.088%31 Jul →
inferno13–110.0510%28 Jul →
mirage14–160.0015%26 Jul →
dust213–4-0.0218%25 Jul →
inferno10–130.0415%25 Jul →
inferno5–13-0.0324%23 Jul →
overpass13–40.0522%23 Jul →
jura13–90.1117%20 Jul →
nuke6–130.0715%20 Jul →
dust216–13-0.0215%19 Jul →
inferno8–80.0214%17 Jul →
dust25–13-0.0017%17 Jul →
dust213–100.0019%18 Jun →
ancient4–130.0015%15 Jun →
nuke13–100.0311%15 Jun →
anubis16–120.0125%15 Jun →
ancient13–10-0.064%15 Jun →
anubis2–13-0.0617%15 Jun →
jura13–10.1821%10 Jun →

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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