Aunt Grizelda

Aunt Grizelda — CS2 Stats

AU76561199121992514[U:1:1161726786]Steam profile ↗

107Tracked matches48%Win rate2024Tracked since
72Hours in CS
CSDB Rating3.4 LearningClutch Specialist
Premier CS Rating14,198Blue band · top ~32.6% of ranked players (population est.)
CSDB Leaderboard#17303 of 26417 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 rate52.3%41.7%44.1%above
Shot accuracy0.4%8.8%11.4%11.0% short
Kill/death ratio0.940.971.030.09 short
Match win rate39.8%43.8%45.2%5.4% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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.

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CSDB.GGAunt GrizeldaPREMIER14,198 · Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning41
Utility44

0–100 skill scores via Leetify.

Recent form

COLD46477Last 10046%Win rateTWLLLWWLLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim3.2
Aggression5.5
Utility4.4
Positioning4.1
Opening Duels1.6
Clutch10.0

Reliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.2
Positioning4.1
Utility4.4
Mechanics3.9
Opening Duels1.6
Win Impact4.4

Composite 3.4/10 (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 time658ms−12ms
first ⅓ avg 670ms → last ⅓ avg 658ms
Headshot accuracy18.5%−3.5%
first ⅓ avg 22.0% → last ⅓ avg 18.5%

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.

Highlights

0.13Best rating — vertigo 10–13
131Biggest win — cache
8Longest win streak
53In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 67% over 6vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheC1771041%-0.01
dust2B168850%-0.03
infernoC146843%-0.04
mirageC135838%-0.05
nukeA117464%-0.02
ancientD103730%-0.02
overpassS64267%0.02
vertigoD51420%0.01
office32167%0.04
anubis21150%-0.02
debris110100%0.08
fachwerk110100%-0.10
train1010%-0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,744Lifetime kills
0.94K/D
206Matches
39.8%Match win rate
52.3%Headshot % · Top 25% of Blue band
0.4%Shot accuracy
449MVPs
72Hours (in match)
108Bombs planted
69Bombs defused

Most-used weapons

Lifetime map wins

388dust2
154nuke
143inferno
85vertigo
75office
50train

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

Faceit stats

Combat

5Matches
20%Win rate
0.65Avg K/D
70.5ADR
48%Headshot %

Clutches & streaks

100%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Cache20%0.6210.5
Ancient10%0.417.0
Anubis10%0.9416.0
Nuke1100%0.678.0

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.

18.1%Headshot accuracy
29.0%Accuracy (enemy spotted)
31.3%Spray accuracy
67.6%Counter-strafing
12.4°Preaim
657msReaction time
36.6%T opening success
36.0%CT opening success
0.46Enemies flashed / flash
3.9%Flash assists
8.44HE damage / grenade
7.35Flashes / 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 12.3686° — above the 12° 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 0.4628 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Vertigo

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 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
cache15–15-0.0220%26 Aug
cache13–60.0314%23 Aug
ancient7–13-0.0112%23 Aug
dust27–13-0.0626%23 Aug
nuke10–13-0.0528%22 Aug
nuke13–6-0.039%15 Aug
dust213–11-0.0214%8 Aug
cache10–130.0121%8 Aug
mirage5–13-0.098%7 Aug
mirage3–13-0.0522%6 Aug
nuke13–50.0712%6 Aug
inferno3–13-0.0415%5 Aug
cache13–6-0.0317%5 Aug
mirage9–13-0.1019%4 Aug
dust213–6-0.1319%4 Aug
cache4–13-0.0324%4 Aug
cache13–40.0119%4 Aug
nuke9–7-0.0827%4 Aug
ancient13–90.0521%4 Aug
vertigo10–130.1326%3 Aug
inferno13–16-0.045%1 Aug
mirage6–13-0.0131%1 Aug
inferno3–9-0.1019%1 Aug
cache14–16-0.0316%1 Aug
anubis16–120.0220%31 Jul
dust213–8-0.0220%31 Jul
dust213–80.0014%30 Jul
dust210–13-0.0531%30 Jul
inferno5–9-0.0631%30 Jul
dust28–13-0.0414%28 Jul
mirage13–3-0.065%28 Jul
mirage13–8-0.0621%28 Jul
inferno9–60.0812%27 Jul
inferno9–40.0716%27 Jul
debris9–30.0825%27 Jul
dust213–10-0.0119%27 Jul
inferno13–70.0414%26 Jul
mirage13–6-0.0215%26 Jul
ancient9–13-0.0017%26 Jul
ancient6–13-0.0223%25 Jul
ancient7–13-0.0518%25 Jul
nuke6–13-0.027%25 Jul
cache15–15-0.0313%24 Jul
office13–6-0.0014%24 Jul
fachwerk13–8-0.1028%24 Jul
mirage2–13-0.106%22 Jul
ancient13–110.0216%22 Jul
mirage6–13-0.0418%21 Jul
overpass12–120.0423%19 Jul
ancient15–15-0.0617%19 Jul
cache13–8-0.0214%19 Jul
inferno13–80.0021%19 Jul
inferno13–40.0126%19 Jul
inferno3–9-0.150%19 Jul
vertigo12–12-0.0319%1 Jul
inferno1–13-0.0917%28 Jun
overpass8–13-0.0432%27 Jun
vertigo3–13-0.0322%27 Jun
inferno13–110.0018%27 Jun
dust23–13-0.0231%27 Jun
cache5–13-0.0521%27 Jun
overpass13–50.1016%27 Jun
dust25–13-0.0123%21 Jun
nuke13–10-0.0813%21 Jun
mirage10–13-0.0324%21 Jun
anubis3–13-0.0713%21 Jun
overpass13–9-0.0124%4 Jun
ancient13–70.0317%4 Jun
inferno1–9-0.2038%4 Jun
nuke8–8-0.0614%4 Jun
ancient11–13-0.0426%30 May
nuke13–2-0.0127%30 May
dust25–13-0.0918%30 May
mirage13–9-0.0315%23 May
dust213–40.0318%23 May
nuke13–80.0438%13 May
cache9–13-0.0126%12 May
cache4–130.0227%11 May
nuke6–3-0.0310%10 May
cache13–110.0420%10 May
vertigo9–00.0215%10 May
overpass13–90.0420%10 May
office13–60.0727%10 May
office11–130.0521%8 May
dust213–30.0832%8 May
cache13–10.0628%8 May
mirage13–7-0.0218%8 May
cache13–60.1129%7 May
ancient6–13-0.0916%6 May
cache9–13-0.0826%1 May
cache4–13-0.0922%1 May
overpass13–3-0.0222%19 Apr
dust26–13-0.0629%19 Apr
inferno7–13-0.1110%19 Apr
vertigo4–13-0.0522%19 Apr
dust212–12-0.0126%1 Mar
train4–13-0.088%1 Mar
mirage6–130.0024%12 Mar
nuke9–13-0.0418%10 Mar
dust213–7-0.0218%10 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →