⋆✧RubyTheMutt✧⋆ — CS2 Stats

ZA76561198131690999[U:1:171425271]Steam profile ↗✓ No bans

1,302Tracked matches34%Win rate2021Tracked since

863Hours in CS

CSDB Rating2.5 Learning

Premier CS Rating3,074Grey band · top ~87% of ranked players (population est.)

CSDB Leaderboard#11557 of 15007 tracked

Ladder ranks via Leetify

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Performance scores

Aim16

Positioning37

Utility68

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateLLLWLWLWLT

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim1.6

Aggression4.5

Utility6.8

Positioning3.7

Opening Duels0.0

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 74% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 705ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim1.6

Positioning3.7

Utility6.8

Mechanics3.2

Opening Duels0.2

Win Impact0.0

Composite 2.5/10 (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-0.05−0.03

first ⅓ avg -0.03 → last ⅓ avg -0.05

Reaction time696ms+3ms

first ⅓ avg 693ms → last ⅓ avg 696ms

Headshot accuracy8.8%−0.5%

first ⅓ avg 9.3% → last ⅓ avg 8.8%

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

0.23Best rating — dust2 13–1

13–1Biggest win — dust2

5Longest win streak

L3Current streak

4–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

overpassBest map · 57% over 7infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	20–16	56%	-0.02
mirage	D	30	9–21	30%	-0.05
cache	B	11	5–6	45%	-0.05
overpass	A	7	4–3	57%	-0.03
inferno	D	6	1–5	17%	-0.02
nuke	B	6	3–3	50%	-0.05
ancient	—	3	1–2	33%	-0.07
train	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,287Lifetime kills

0.57K/D

2,278Matches

39.2%Match win rate

25.9%Headshot %

11.6%Shot accuracy

2,632MVPs

863Hours (in match)

2,343Bombs planted

417Bombs defused

Most-used weapons

AWP5,164

AK-474,524

M4A4 / M4A1-S3,239

MP91,354

P2000 / USP-S1,330

SSG 081,284

MAC-101,083

P90951

Glock-18739

Galil AR545

Lifetime map wins

6,763dust2

2,623inferno

482nuke

434vertigo

283train

21office

17lake

15cbble

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.

9.1%Headshot accuracy

28.4%Accuracy (enemy spotted)

30.8%Spray accuracy

64.6%Counter-strafing

12.3°Preaim

705msReaction time

31.3%T opening success

28.8%CT opening success

0.69Enemies flashed / flash

5.7%Flash assists

11.32HE damage / grenade

16.61Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3071° — above the 12° mark we flag
Aim Training →
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 9.145% — below the 15% mark we flag
Aim Training →
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 705.352ms — above the 700ms mark we flag
Aim Training →

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.02	8%	25 Aug →
mirage	5–13	-0.07	6%	23 Aug →
mirage	1–13	-0.08	13%	21 Aug →
mirage	16–13	-0.04	10%	21 Aug →
dust2	14–16	-0.06	11%	10 Aug →
dust2	13–5	0.02	5%	4 Aug →
mirage	5–13	-0.10	19%	3 Aug →
dust2	13–7	-0.04	6%	2 Aug →
mirage	4–13	-0.07	3%	1 Aug →
cache	15–15	-0.04	9%	1 Aug →
dust2	16–13	-0.07	8%	29 Jul →
mirage	13–10	-0.06	14%	28 Jul →
dust2	13–9	0.02	16%	28 Jul →
dust2	9–13	-0.06	12%	27 Jul →
mirage	10–13	-0.06	7%	24 Jul →
dust2	9–13	-0.05	15%	24 Jul →
mirage	5–13	-0.01	6%	23 Jul →
dust2	13–3	-0.04	6%	23 Jul →
mirage	8–13	-0.05	14%	23 Jul →
ancient	6–13	-0.13	6%	20 Jul →
dust2	4–13	-0.06	10%	19 Jul →
cache	13–7	-0.05	5%	18 Jul →
inferno	2–13	-0.07	0%	18 Jul →
mirage	10–13	0.07	11%	18 Jul →
dust2	3–13	-0.11	4%	17 Jul →
nuke	13–10	-0.06	3%	17 Jul →
inferno	13–5	-0.06	2%	17 Jul →
mirage	6–13	-0.12	8%	14 Jul →
cache	10–13	-0.05	14%	11 Jul →
mirage	5–13	-0.07	13%	10 Jul →
mirage	6–13	-0.07	8%	10 Jul →
cache	13–7	-0.05	9%	10 Jul →
mirage	4–13	-0.05	12%	10 Jul →
dust2	16–13	-0.01	10%	10 Jul →
cache	13–11	-0.09	6%	9 Jul →
overpass	13–8	-0.06	3%	30 Jun →
dust2	16–14	-0.01	11%	30 Jun →
ancient	13–2	-0.03	5%	28 Jun →
nuke	10–13	-0.01	10%	25 Jun →
dust2	13–10	-0.09	6%	24 Jun →
mirage	13–4	-0.02	10%	23 Jun →
dust2	13–10	-0.08	0%	16 Jun →
mirage	13–6	-0.03	6%	13 Jun →
dust2	11–13	0.01	12%	12 Jun →
dust2	13–9	-0.06	10%	8 Jun →
overpass	13–7	-0.06	9%	7 Jun →
nuke	11–13	-0.06	9%	7 Jun →
dust2	9–13	-0.08	13%	6 Jun →
dust2	3–13	-0.03	16%	5 Jun →
cache	9–13	-0.01	15%	5 Jun →
overpass	13–11	0.00	15%	4 Jun →
mirage	7–13	-0.11	12%	3 Jun →
mirage	11–13	-0.04	5%	3 Jun →
dust2	11–13	-0.05	14%	3 Jun →
mirage	9–13	-0.08	4%	2 Jun →
mirage	3–13	-0.10	7%	1 Jun →
inferno	7–13	0.07	6%	1 Jun →
nuke	16–14	-0.03	11%	1 Jun →
nuke	16–13	-0.03	5%	1 Jun →
inferno	10–13	0.00	4%	1 Jun →
cache	1–13	-0.08	11%	31 May →
dust2	13–8	-0.05	8%	31 May →
dust2	3–13	-0.09	5%	29 May →
dust2	13–7	0.01	7%	29 May →
mirage	9–13	-0.05	5%	29 May →
dust2	13–8	0.03	15%	17 May →
mirage	9–13	-0.03	13%	16 May →
cache	6–13	-0.10	19%	16 May →
cache	13–5	0.01	9%	10 May →
dust2	1–13	-0.12	8%	2 May →
cache	4–13	-0.05	8%	2 May →
cache	13–10	-0.07	5%	2 May →
dust2	8–13	-0.02	11%	25 Apr →
overpass	14–16	-0.04	10%	25 Apr →
mirage	13–6	-0.10	10%	25 Apr →
overpass	13–9	-0.03	6%	30 Mar →
dust2	13–3	-0.01	13%	27 Mar →
dust2	7–13	-0.06	9%	27 Mar →
mirage	13–10	-0.05	0%	27 Mar →
inferno	8–13	-0.02	8%	23 Mar →
dust2	13–8	0.00	8%	23 Mar →
mirage	14–16	-0.11	10%	22 Mar →
dust2	13–3	0.01	18%	22 Mar →
mirage	15–15	-0.07	14%	15 Feb →
inferno	6–13	-0.07	6%	15 Feb →
nuke	1–13	-0.14	17%	15 Feb →
ancient	7–13	-0.05	4%	15 Feb →
dust2	13–1	0.08	10%	14 Feb →
train	4–13	-0.05	4%	17 Jan →
overpass	9–13	-0.01	9%	17 Jan →
mirage	3–13	-0.05	7%	15 Jan →
mirage	13–9	-0.03	11%	15 Jan →
mirage	13–7	0.05	10%	14 Jan →
dust2	13–1	0.23	4%	14 Jan →
overpass	8–13	0.00	8%	3 Jan →
dust2	13–9	0.08	10%	3 Jan →
dust2	10–13	-0.06	3%	3 Jan →
dust2	6–13	-0.02	10%	2 Jan →
dust2	13–3	-0.01	8%	2 Jan →
mirage	13–7	0.04	19%	2 Jan →