bymon

bymon — CS2 Stats

76561198388179100[U:1:427913372]Steam profile ↗✓ No bans

755Tracked matches52%Win rate2020Tracked since
1,439Hours in CS11Hrs last 2 wks
CSDB Rating3.0 LearningSupport
Premier CS Rating12,040Blue band · top ~44.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+388Premier CS Rating · 11,652 → 12,040

Rating over time

Premier CS Rating: 12,040 +1,758 18 Aug – 13 Oct · 35 days played
9,33112,583peak 12,58318 Aug13 Oct
12,621Peak Premier in tracked matches
36Days played since 2026-07-28

Premier CS Rating

  • 543 below peak (12,583)
  • -543 over 30 days · declining
  • Next: Purple band at 15,000 — 2,960 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.4%42.0%44.3%8.9% short
Shot accuracy8.6%9.6%11.9%3.2% short
Kill/death ratio0.810.981.030.22 short
Match win rate41.7%43.8%45.2%3.5% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGbymonPREMIER12,040 · Blue bandcsdb.gg/stats

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Performance scores

Aim25
Positioning34
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateWWWLWLWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.4pp headshot accuracy · −26ms reaction

Win rate up 20pp 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 -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 605ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 611ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 624ms

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 (+3.1 against its own average).

Aim2.5
Utility5.3
Positioning3.4
Opening Duels0.0
Clutch0.0

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 65% 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. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5
Positioning3.4
Utility5.3
Mechanics2.4
Opening Duels0.1
Win Impact5.6

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time631ms−23ms
first ⅓ avg 654ms → last ⅓ avg 631ms
Headshot accuracy11.3%−1.1%
first ⅓ avg 12.4% → last ⅓ avg 11.3%

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 · 13–1 · inferno, 25 Sept →
23%Best headshot accuracy · 13–10 · mirage, 4 Sept →
430msFastest reaction time · 7–13 · mirage, 14 Sept →
13–1Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

13Longest win streak
W3Current streak
13–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 80% over 10ancientWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
nukeA1810–856%-0.01
ancientB189–950%-0.03
dust2B168–850%-0.03
infernoB158–753%-0.02
anubisS128–467%-0.02
mirageS108–280%-0.04
cacheB105–550%-0.03
eldorado—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,041Lifetime kills
0.81K/D
1,996Matches
41.7%Match win rate
35.4%Headshot %
8.6%Shot accuracy
3,343MVPs
855Hours (in match)
3,070Bombs planted
625Bombs defused

Most-used weapons

Lifetime map wins

2,941dust2
2,565inferno
2,502nuke
1,234vertigo
561train
165office
41italy
30cbble

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

Faceit stats

Combat

130Matches
47%Win rate
0.71Avg K/D
61.9ADR
35%Headshot %

Clutches & streaks

17%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.7210.5
Ancient10%0.6215.0
Anubis1100%1.3615.0
Vertigo10%0.428.0
Dust21100%0.6511.0
Mirage10%0.5011.0

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.

11.2%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.0%Spray accuracy
60.8%Counter-strafing
13.0°Preaim
629msReaction time
31.2%T opening success
25.8%CT opening success
0.59Enemies flashed / flash
2.3%Flash assists
7.89HE damage / grenade
5.43Flashes / 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 13.0186° — 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 11.1833% — below the 15% mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0112%13 Oct →
nuke13–9-0.0212%10 Oct →
mirage13–3-0.050%10 Oct →
ancient6–13-0.0517%7 Oct →
anubis13–90.018%7 Oct →
cache3–13-0.048%5 Oct →
ancient13–11-0.0315%4 Oct →
cache13–30.0111%4 Oct →
nuke11–13-0.048%3 Oct →
nuke9–13-0.048%3 Oct →
dust28–13-0.0621%3 Oct →
dust213–40.0311%3 Oct →
cache13–70.0120%3 Oct →
inferno1–13-0.0812%30 Sept →
dust27–13-0.106%28 Sept →
inferno4–13-0.0313%28 Sept →
mirage13–11-0.0615%28 Sept →
nuke11–130.0011%27 Sept →
nuke13–8-0.0410%26 Sept →
anubis10–13-0.0613%26 Sept →
ancient13–7-0.0012%26 Sept →
cache10–13-0.0517%25 Sept →
inferno13–10.1014%25 Sept →
ancient4–13-0.0210%25 Sept →
anubis13–10-0.0111%25 Sept →
nuke13–100.0911%25 Sept →
nuke11–13-0.033%23 Sept →
cache13–11-0.0212%23 Sept →
inferno15–15-0.063%23 Sept →
ancient9–130.0412%23 Sept →
eldorado5–90.0212%22 Sept →
ancient13–8-0.0110%21 Sept →
anubis13–8-0.0413%21 Sept →
mirage13–11-0.0111%20 Sept →
anubis13–80.008%20 Sept →
mirage13–8-0.0610%20 Sept →
inferno11–13-0.0111%19 Sept →
nuke13–110.0611%19 Sept →
inferno13–7-0.1217%19 Sept →
ancient13–100.019%19 Sept →
inferno14–16-0.0010%19 Sept →
nuke2–13-0.0817%17 Sept →
dust29–13-0.104%17 Sept →
dust214–16-0.058%16 Sept →
anubis6–13-0.0116%16 Sept →
ancient5–13-0.1011%16 Sept →
dust215–150.0212%16 Sept →
dust213–16-0.0212%14 Sept →
dust213–7-0.0515%14 Sept →
ancient4–13-0.0812%14 Sept →
mirage7–13-0.0417%14 Sept →
nuke13–11-0.067%13 Sept →
inferno16–14-0.0010%13 Sept →
nuke4–13-0.059%13 Sept →
dust210–13-0.0720%13 Sept →
ancient15–15-0.055%13 Sept →
anubis13–50.005%13 Sept →
inferno13–30.016%11 Sept →
nuke13–10-0.042%10 Sept →
mirage13–9-0.0410%10 Sept →
dust213–7-0.0112%10 Sept →
inferno5–13-0.069%9 Sept →
ancient5–13-0.0117%9 Sept →
inferno13–40.0013%9 Sept →
mirage16–13-0.029%9 Sept →
cache9–13-0.008%8 Sept →
mirage13–11-0.0115%8 Sept →
ancient6–130.0016%7 Sept →
ancient11–13-0.016%6 Sept →
ancient13–2-0.0210%5 Sept →
nuke7–13-0.053%5 Sept →
cache9–13-0.0116%5 Sept →
dust213–60.0212%5 Sept →
nuke13–80.055%5 Sept →
cache11–13-0.1013%4 Sept →
mirage13–10-0.0823%4 Sept →
anubis13–4-0.0310%4 Sept →
dust213–11-0.094%4 Sept →
ancient16–14-0.0116%3 Sept →
anubis13–11-0.049%3 Sept →
dust213–70.0223%2 Sept →
inferno13–11-0.0118%2 Sept →
dust213–80.009%27 Aug →
nuke13–100.0214%27 Aug →
ancient13–8-0.059%26 Aug →
inferno13–10-0.0617%26 Aug →
cache13–4-0.0213%25 Aug →
ancient13–10-0.0315%25 Aug →
dust211–13-0.0011%19 Aug →
inferno11–130.0215%19 Aug →
anubis13–160.0114%19 Aug →
nuke13–110.0312%18 Aug →
cache13–5-0.0720%28 Jul →
nuke13–3-0.007%28 Jul →
nuke8–13-0.0414%28 Jul →
inferno13–8-0.0413%28 Jul →
anubis4–13-0.0711%28 Jul →
mirage12–12-0.0811%28 Jul →
ancient13–10-0.068%28 Jul →
dust213–40.0113%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches13-Win Streak
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.