maeve

maeve — CS2 Stats

SG76561198199464066[U:1:239198338]Steam profile ↗✓ No bans

649Tracked matches55%Win rate2025Tracked since
361Hours in CS
CSDB Rating6.1 SolidPositional Player
Premier CS Rating18,603Purple band · top ~14.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (yesterday). 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: 18,603 +740 23 Jul – 8 Oct · 22 days played
15,56818,899peak 18,89923 Jul8 Oct
18,899Peak Premier in tracked matches
22Days played since 2026-07-23

Premier CS Rating

  • 296 below peak (18,899)
  • +1,878 over 30 days · improving
  • +740 over 90 days
  • Next: Pink band at 20,000 — 1,397 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches85——
Win rate54%——
K/D1.04——
Headshot %50%——

Measured 10 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate52.2%44.3%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.051.031.080.03 short
Match win rate48.5%45.2%46.7%above

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

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

Share this profile

CSDB.GGmaevePREMIER18,603 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning65
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLWWLTWLWLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −2.8pp headshot accuracy · +7ms reaction

Win rate down 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 647ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 619ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 615ms

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 (+1.7 against its own average).

Aim6.9
Utility5.2
Positioning6.5
Opening Duels2.4
Clutch5.0

Strong CT-side openerEffective flashes

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

NiKo

Plays most like NiKo 83% 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

Reaction time. 608ms 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

Aim6.9
Positioning6.5
Utility5.2
Mechanics5.8
Opening Duels3.8
Win Impact6.7

Composite 6.1/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time606ms+35ms
first ⅓ avg 571ms → last ⅓ avg 606ms
Headshot accuracy17.2%−1.7%
first ⅓ avg 19.0% → last ⅓ avg 17.2%

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

0.21Best match rating · 13–2 · ancient, 30 Sept →
34%Best headshot accuracy · 13–8 · dust2, 24 Sept →
391msFastest reaction time · 13–1 · ancient, 30 Sept →
13–1Biggest win · ancient, 30 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B3819–1950%0.00
mirageB1910–953%0.02
ancientS1611–569%0.02
infernoD102–820%-0.01
nukeB63–350%0.00
anubisS64–267%0.02
cacheS54–180%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,229Lifetime kills
1.05K/D · Top 50% of Purple band
686Matches
48.5%Match win rate · Top 25% of Purple band
52.2%Headshot % · Top 25% of Purple band
0.0%Shot accuracy
1,550MVPs
361Hours (in match)
468Bombs planted
126Bombs defused

Most-used weapons

Lifetime map wins

2,789dust2
700inferno
288nuke
13train
9vertigo

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

Faceit stats

Combat

30Matches
43%Win rate
1.04Avg K/D
89.3ADR
52%Headshot %

Clutches & streaks

45%1v1 clutch win
36%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1429%0.9715.9
Dust21145%1.0718.6
Anubis250%0.9424.0
Inferno2100%1.1819.5
Nuke1100%1.5323.0

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.

17.5%Headshot accuracy
36.5%Accuracy (enemy spotted)
38.5%Spray accuracy
76.1%Counter-strafing
9.5°Preaim
608msReaction time
41.0%T opening success
49.7%CT opening success
0.72Enemies flashed / flash
8.2%Flash assists
5.87HE damage / grenade
5.19Flashes / match

Recommended for you

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0910%8 Oct →
anubis13–11-0.0716%8 Oct →
nuke13–80.0414%8 Oct →
mirage9–13-0.0515%8 Oct →
dust212–120.0115%8 Oct →
mirage13–40.0416%8 Oct →
dust211–13-0.0219%8 Oct →
dust213–100.0118%8 Oct →
inferno9–13-0.0612%6 Oct →
dust25–130.0214%6 Oct →
nuke13–9-0.0322%3 Oct →
mirage13–20.059%3 Oct →
ancient10–130.0120%3 Oct →
dust28–130.0122%3 Oct →
dust27–13-0.0511%3 Oct →
nuke13–60.0422%3 Oct →
ancient6–13-0.0112%3 Oct →
dust213–110.0716%3 Oct →
dust213–50.1215%3 Oct →
dust216–14-0.0125%2 Oct →
dust213–40.0511%2 Oct →
dust211–13-0.0116%1 Oct →
anubis13–40.0311%1 Oct →
mirage8–13-0.0233%1 Oct →
dust28–13-0.0221%1 Oct →
dust26–13-0.0519%1 Oct →
ancient13–90.049%30 Sept →
dust213–11-0.0120%30 Sept →
ancient13–20.2129%30 Sept →
mirage13–50.0633%30 Sept →
ancient5–13-0.056%30 Sept →
mirage13–60.0322%30 Sept →
dust21–13-0.0319%30 Sept →
anubis13–70.107%30 Sept →
inferno13–160.0229%30 Sept →
mirage13–70.009%30 Sept →
mirage13–60.0734%30 Sept →
cache10–20.0716%30 Sept →
ancient13–1-0.0223%30 Sept →
inferno6–130.027%29 Sept →
cache13–110.0218%29 Sept →
inferno6–13-0.0110%29 Sept →
inferno10–130.0322%29 Sept →
dust213–7-0.0214%28 Sept →
anubis13–100.0116%28 Sept →
ancient13–8-0.0519%28 Sept →
dust213–10.017%28 Sept →
mirage14–16-0.0417%28 Sept →
dust27–130.0327%26 Sept →
dust21–13-0.0728%26 Sept →
dust213–7-0.0315%26 Sept →
dust213–8-0.0322%26 Sept →
dust213–100.0227%25 Sept →
dust213–4-0.0119%25 Sept →
cache13–80.0122%25 Sept →
cache13–6-0.0326%25 Sept →
nuke3–70.0524%25 Sept →
mirage15–150.0320%25 Sept →
mirage3–90.1024%25 Sept →
ancient9–130.0323%25 Sept →
ancient6–13-0.0223%24 Sept →
dust213–80.0034%24 Sept →
dust26–130.0918%24 Sept →
ancient13–60.0323%24 Sept →
cache10–13-0.0020%23 Sept →
ancient13–90.0210%23 Sept →
ancient13–100.0124%23 Sept →
nuke5–130.0218%22 Sept →
ancient13–100.0521%22 Sept →
mirage13–10-0.0610%22 Sept →
dust211–130.0329%22 Sept →
dust213–110.0224%22 Sept →
ancient13–50.0515%22 Sept →
dust22–13-0.0315%22 Sept →
anubis2–130.0110%22 Sept →
dust22–5-0.0133%22 Sept →
inferno4–13-0.0816%21 Sept →
mirage14–16-0.0213%21 Sept →
dust28–13-0.0217%21 Sept →
ancient13–8-0.0332%21 Sept →
mirage13–20.0715%19 Sept →
mirage13–30.0918%19 Sept →
mirage5–130.0414%19 Sept →
dust216–140.0117%19 Sept →
dust213–70.0834%3 Sept →
mirage15–15-0.0125%3 Sept →
mirage10–13-0.0712%2 Aug →
dust26–13-0.038%2 Aug →
dust25–130.0024%29 Jul →
inferno8–13-0.0413%29 Jul →
dust213–30.0620%26 Jul →
dust25–130.0427%25 Jul →
dust213–11-0.0515%25 Jul →
inferno13–6-0.0112%25 Jul →
dust213–7-0.0522%24 Jul →
inferno8–130.0226%24 Jul →
mirage13–60.0129%23 Jul →
anubis12–120.0316%23 Jul →
ancient13–7-0.0212%23 Jul →
inferno13–30.0217%23 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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