Judy Hopps — CS2 Stats

76561198272686797[U:1:312421069]community banned

1,945Tracked matches47%Win rate2020Tracked since

2,601Hours in CS14Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating23,465Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)

CSDB Leaderboard#5460 of 24350 tracked

FaceitLevel 10 · 2,137 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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.

Metric	This player	Level 10 median
Headshot rate	45.0%	52.0%
Shot accuracy	11.6%	13.7%
Kill/death ratio	1.07	1.08
Match win rate	52.8%	48.8%

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Performance scores

Aim87

Positioning58

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY65–33–2Last 10065%Win rateLLWLLWLWLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.7

Aggression6.8

Utility4.8

Positioning5.8

Opening Duels2.1

Clutch3.4

Sharp aimerEffective flashes

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

Plays most like NiKo 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; higher opening-fight frequency.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.7

Positioning5.8

Utility4.8

Mechanics7.5

Opening Duels2.1

Win Impact3.9

Composite 6.3/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time556ms−8ms

first ⅓ avg 564ms → last ⅓ avg 556ms

Headshot accuracy21.6%−1.1%

first ⅓ avg 22.7% → last ⅓ avg 21.6%

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

0.18Best rating — cache 13–3

13–0Biggest win — cache

9Longest win streak

L2Current streak

9–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 88% over 26nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	32	20–12	63%	0.02
dust2	S	26	23–3	88%	0.02
cache	A	19	12–7	63%	0.02
nuke	D	8	2–6	25%	0.01
inferno	C	7	3–4	43%	0.03
ancient	—	4	2–2	50%	0.01
anubis	—	4	3–1	75%	0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,174Lifetime kills

1.07K/D

4,174Matches

52.8%Match win rate · Top 25% of Level 10 players

45.0%Headshot %

11.6%Shot accuracy

11,301MVPs

1,491Hours (in match)

5,392Bombs planted

904Bombs defused

Most-used weapons

AK-4723,850

M4A4 / M4A1-S11,837

AWP7,232

P2000 / USP-S4,900

Desert Eagle3,765

Glock-182,321

MP91,738

Galil AR1,612

SSG 081,441

MAC-101,348

Lifetime map wins

7,967dust2

4,675inferno

2,898train

2,001vertigo

1,977nuke

1,107office

640cbble

173lake

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

Faceit stats

Combat

407Matches

57%Win rate

1.11Avg K/D

84.8ADR

44%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	95	60%	1.21	19.0
Dust2	94	55%	1.19	17.7
Inferno	31	55%	1.18	17.0
Nuke	31	48%	1.17	16.7
Ancient	27	56%	1.03	16.6
Anubis	20	45%	1.08	16.6
Cache	15	67%	1.23	19.1
Train	13	46%	1.23	18.6

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.

20.4%Headshot accuracy

39.3%Accuracy (enemy spotted)

41.4%Spray accuracy

83.6%Counter-strafing

9.1°Preaim

533msReaction time

35.2%T opening success

41.5%CT opening success

0.70Enemies flashed / flash

7.1%Flash assists

10.58HE damage / grenade

5.11Flashes / 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.

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 35.2277% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	6–13	0.02	29%	29 Aug →
cache	2–13	-0.04	44%	29 Aug →
cache	13–6	0.15	39%	29 Aug →
inferno	6–13	-0.02	18%	29 Aug →
mirage	2–13	0.02	21%	27 Aug →
dust2	13–7	0.02	15%	26 Aug →
mirage	5–13	-0.02	25%	24 Aug →
dust2	13–10	-0.02	19%	24 Aug →
nuke	3–8	-0.01	8%	24 Aug →
mirage	13–3	-0.01	14%	24 Aug →
mirage	2–13	-0.08	17%	23 Aug →
dust2	13–11	0.05	13%	23 Aug →
mirage	13–6	-0.03	18%	22 Aug →
dust2	13–8	0.04	8%	22 Aug →
cache	1–13	-0.06	20%	22 Aug →
nuke	7–9	-0.04	18%	19 Aug →
inferno	9–2	0.06	57%	19 Aug →
mirage	13–11	0.01	12%	17 Aug →
cache	6–13	0.00	17%	17 Aug →
mirage	8–13	-0.01	11%	17 Aug →
mirage	0–13	-0.05	50%	16 Aug →
dust2	5–0	-0.01	0%	16 Aug →
dust2	7–13	-0.04	30%	15 Aug →
dust2	13–7	0.03	10%	15 Aug →
dust2	13–11	0.05	36%	13 Aug →
cache	1–13	-0.02	27%	13 Aug →
mirage	14–16	-0.02	20%	12 Aug →
cache	9–13	-0.01	23%	11 Aug →
cache	13–10	-0.03	14%	10 Aug →
mirage	13–16	-0.01	13%	9 Aug →
cache	13–7	0.03	26%	9 Aug →
mirage	13–10	-0.02	19%	9 Aug →
mirage	13–2	0.09	23%	9 Aug →
cache	13–9	0.03	24%	9 Aug →
mirage	13–8	0.12	17%	8 Aug →
dust2	13–10	0.08	14%	8 Aug →
mirage	13–11	0.04	14%	8 Aug →
cache	13–2	-0.05	33%	5 Aug →
ancient	4–13	-0.06	25%	5 Aug →
mirage	13–6	0.02	23%	4 Aug →
mirage	7–13	-0.05	10%	1 Aug →
inferno	5–13	-0.02	11%	1 Aug →
dust2	13–9	-0.05	21%	31 Jul →
inferno	13–5	0.06	19%	30 Jul →
cache	13–3	0.18	22%	30 Jul →
dust2	13–7	0.06	20%	28 Jul →
dust2	13–6	0.03	14%	28 Jul →
mirage	13–10	0.05	11%	27 Jul →
anubis	6–13	0.02	23%	27 Jul →
dust2	13–7	-0.00	21%	27 Jul →
cache	16–14	0.01	19%	27 Jul →
anubis	13–4	0.02	13%	26 Jul →
mirage	14–16	0.01	24%	25 Jul →
dust2	13–3	0.08	32%	25 Jul →
mirage	13–7	0.09	29%	25 Jul →
cache	13–4	0.06	35%	25 Jul →
mirage	13–10	0.07	15%	25 Jul →
dust2	13–5	-0.04	20%	25 Jul →
cache	13–8	0.09	20%	25 Jul →
dust2	13–4	0.08	22%	24 Jul →
ancient	13–4	0.07	23%	24 Jul →
anubis	13–10	0.09	29%	23 Jul →
cache	8–13	0.07	27%	23 Jul →
ancient	11–13	0.04	13%	23 Jul →
dust2	13–7	0.05	29%	23 Jul →
mirage	16–14	0.05	23%	23 Jul →
nuke	4–0	0.13	31%	14 Jul →
nuke	9–13	-0.05	15%	13 Jul →
nuke	9–13	-0.01	19%	13 Jul →
mirage	13–8	-0.02	13%	13 Jul →
anubis	13–7	0.09	18%	12 Jul →
dust2	13–10	0.05	22%	12 Jul →
mirage	10–13	-0.01	27%	12 Jul →
dust2	8–13	0.03	19%	12 Jul →
mirage	16–12	0.07	29%	12 Jul →
dust2	13–11	-0.01	21%	11 Jul →
cache	13–2	0.01	5%	11 Jul →
inferno	8–8	0.00	36%	10 Jul →
mirage	13–2	0.10	27%	10 Jul →
cache	13–0	-0.00	13%	10 Jul →
dust2	5–13	-0.00	33%	10 Jul →
cache	3–8	-0.04	43%	10 Jul →
nuke	15–15	0.07	21%	9 Jul →
dust2	13–3	0.04	19%	9 Jul →
cache	13–8	-0.01	26%	9 Jul →
mirage	13–3	0.01	18%	9 Jul →
mirage	13–16	0.08	21%	9 Jul →
dust2	13–3	0.02	19%	6 Jul →
mirage	16–14	-0.04	18%	4 Jul →
mirage	13–5	0.13	20%	3 Jul →
dust2	13–3	0.11	20%	3 Jul →
inferno	13–3	0.13	27%	3 Jul →
mirage	13–4	0.10	30%	2 Jul →
ancient	13–10	-0.02	31%	2 Jul →
mirage	13–5	0.02	20%	2 Jul →
dust2	13–11	-0.00	25%	2 Jul →
inferno	4–13	-0.04	27%	2 Jul →
mirage	5–13	-0.11	33%	26 Jun →
nuke	13–5	-0.05	17%	26 Jun →
dust2	7–1	0.00	19%	26 Jun →