❀ Maerith and her Bread ❀

❀ Maerith and her Bread ❀ — CS2 Stats

FR76561198437901667[U:1:477635939]Steam profile ↗✓ No bans

667Tracked matches33%Win rate2020Tracked since
1,126Hours in CS6Hrs last 2 wks
CSDB Rating2.9 LearningPositional Player
Premier CS Rating2,957Grey band · top ~87.5% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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: 2,957 -27 4 Jul – 11 Nov · 25 days played
1,7973,588peak 3,5884 Jul11 Nov
3,588Peak Premier in tracked matches
35Days played since 2026-07-04

Premier CS Rating

  • 631 below peak (3,588)
  • +537 over 30 days · improving
  • -631 over 90 days
  • Next: Light Blue band at 5,000 — 2,043 to go

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 1 among CSDB-tracked players (n=2,404), 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 1 medianLevel 2 medianvs Level 2
Headshot rate33.2%40.9%41.3%8.2% short
Shot accuracy14.5%14.2%12.7%above
Kill/death ratio1.050.950.95above
Match win rate35.1%42.1%42.6%7.5% short

This profile matches the typical Level 2 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG❀ Maerith and her Bread ❀FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER2,957 · Grey 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

Aim39
Positioning40
Utility6

0–100 skill scores via Leetify.

Recent form

COLD36–59–5Last 10036%Win rateLLLLLWLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −8.1pp headshot accuracy · −33ms reaction

Win rate down 40pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 713ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 719ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 735ms

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: Positional Player — Positioning stands above the rest of this profile (+2.5 against its own average).

Aim3.9
Utility0.6
Positioning4.0
Opening Duels0.0

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 80% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 734ms 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

Aim3.9
Positioning4.0
Utility0.6
Mechanics6.5
Opening Duels1.6
Win Impact0.0

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time729ms−57ms
first ⅓ avg 786ms → last ⅓ avg 729ms
Headshot accuracy17.7%+1.5%
first ⅓ avg 16.2% → last ⅓ avg 17.7%

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 · 13–6 · cache, 15 Oct →
39%Best headshot accuracy · 5–13 · mirage, 26 Sept →
484msFastest reaction time · 6–13 · inferno, 15 Aug →
13–2Biggest win · dust2, 21 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
5–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 58% over 12anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageD278–1930%-0.03
dust2D175–1229%-0.03
infernoB136–746%-0.05
cacheA127–558%-0.00
anubisD112–918%-0.03
nukeB63–350%-0.02
officeC52–340%-0.06
ancient—41–325%0.01
train—21–150%-0.01
vertigo—21–150%-0.01
rush_001—10–10%-0.16

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,997Lifetime kills
1.05K/D · Top 50% of Level 1 players
1,750Matches
35.1%Match win rate
33.2%Headshot %
14.5%Shot accuracy · Top 50% of Level 1 players
3,089MVPs
649Hours (in match)
2,025Bombs planted
245Bombs defused

Most-used weapons

Lifetime map wins

3,217inferno
1,905dust2
683nuke
497vertigo
195office
165train
73lake
29stmarc

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

Skill profile

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

18.3%Headshot accuracy
31.8%Accuracy (enemy spotted)
27.7%Spray accuracy
79.5%Counter-strafing
11.5°Preaim
734msReaction time
34.8%T opening success
37.8%CT opening success
0.06Enemies flashed / flash
0.0%Flash assists
5.37HE damage / grenade
0.75Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 734.2331ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0604 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 34.7973% — below the 40% mark we flag

Spend your practice time on Anubis

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis3–130.0318%11 Nov →
anubis5–13-0.0424%11 Nov →
anubis1–13-0.0210%11 Nov →
anubis3–13-0.0923%11 Nov →
anubis7–13-0.0918%11 Nov →
dust213–9-0.0114%11 Nov →
rush_0010–4-0.160%5 Nov →
cache13–16-0.0314%5 Nov →
mirage10–13-0.0115%5 Nov →
dust24–13-0.0616%31 Oct →
inferno9–13-0.0714%31 Oct →
mirage7–13-0.0621%30 Oct →
cache13–6-0.0325%30 Oct →
office8–13-0.0922%30 Oct →
office6–00.0433%30 Oct →
mirage13–100.0720%22 Oct →
dust213–20.0535%21 Oct →
mirage10–13-0.0423%16 Oct →
inferno13–11-0.0213%16 Oct →
dust23–13-0.0427%16 Oct →
cache13–60.1816%15 Oct →
mirage13–11-0.0316%14 Oct →
dust210–130.0310%14 Oct →
dust23–13-0.056%14 Oct →
cache13–90.0321%13 Oct →
mirage11–130.0315%12 Oct →
dust214–16-0.0922%12 Oct →
mirage8–13-0.0413%1 Oct →
mirage5–13-0.0439%26 Sept →
ancient6–130.007%25 Sept →
mirage13–70.0218%25 Sept →
ancient11–13-0.000%18 Sept →
anubis11–13-0.0416%16 Sept →
anubis13–7-0.0118%16 Sept →
anubis12–12-0.0316%16 Sept →
anubis10–13-0.0415%16 Sept →
inferno13–50.0321%16 Sept →
dust213–5-0.0518%11 Sept →
dust25–13-0.0116%11 Sept →
dust23–13-0.070%5 Sept →
ancient2–13-0.0317%5 Sept →
nuke8–13-0.039%3 Sept →
mirage5–13-0.129%3 Sept →
office5–13-0.058%2 Sept →
office3–13-0.1138%2 Sept →
office13–6-0.1019%2 Sept →
mirage3–13-0.0613%2 Sept →
cache2–13-0.0814%2 Sept →
inferno3–13-0.1018%29 Aug →
dust25–13-0.0713%29 Aug →
cache13–100.0031%28 Aug →
cache13–5-0.0236%28 Aug →
inferno9–7-0.150%19 Aug →
mirage11–13-0.005%19 Aug →
inferno6–13-0.032%15 Aug →
mirage16–120.0311%15 Aug →
mirage5–13-0.0021%15 Aug →
mirage4–13-0.1014%15 Aug →
anubis7–13-0.0615%15 Aug →
inferno6–13-0.0421%15 Aug →
mirage16–140.0116%12 Aug →
train12–12-0.075%12 Aug →
train6–00.0413%12 Aug →
inferno6–13-0.0624%12 Aug →
anubis13–60.0324%9 Aug →
nuke13–90.0725%9 Aug →
nuke13–80.0116%9 Aug →
dust213–7-0.0218%9 Aug →
cache15–150.0519%9 Aug →
mirage11–13-0.0411%9 Aug →
mirage2–13-0.0815%8 Aug →
mirage4–13-0.0312%8 Aug →
inferno13–8-0.099%8 Aug →
dust213–7-0.0515%8 Aug →
cache13–30.0927%8 Aug →
dust29–13-0.0218%8 Aug →
mirage6–13-0.0117%8 Aug →
inferno13–80.0212%7 Aug →
ancient13–50.066%7 Aug →
mirage13–10-0.057%7 Aug →
mirage1–13-0.0830%7 Aug →
inferno8–8-0.0722%6 Aug →
mirage11–13-0.0614%1 Aug →
nuke8–13-0.1010%1 Aug →
mirage13–10-0.0215%1 Aug →
mirage13–90.0315%1 Aug →
vertigo13–30.0014%1 Aug →
vertigo4–13-0.0324%1 Aug →
mirage8–13-0.0121%1 Aug →
dust28–13-0.0220%1 Aug →
inferno11–13-0.0619%27 Jul →
inferno9–7-0.0115%20 Jul →
dust26–13-0.0714%20 Jul →
mirage9–13-0.0421%19 Jul →
dust213–16-0.0221%19 Jul →
nuke16–130.0215%19 Jul →
cache13–10-0.0624%6 Jul →
cache12–120.0025%6 Jul →
cache0–2-0.140%6 Jul →
nuke7–13-0.068%4 Jul →

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 →

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