RatMadness — CS2 Stats

76561198283637192[U:1:323371464]

904Tracked matches43%Win rate2024Tracked since

CSDB Rating1.3 Learning

Premier CS Rating5,105Light Blue band · top ~78.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim16

Positioning22

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateLLWLLWWLWT

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

Player DNA

Aim1.6

Aggression0.0

Utility2.1

Positioning2.2

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 55% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 29% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 701ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 50% 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

Positioning2.2

Utility2.1

Mechanics0.0

Opening Duels0.0

Win Impact2.6

Composite 1.3/10 (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-0.06−0.01

first ⅓ avg -0.05 → last ⅓ avg -0.06

Reaction time719ms−30ms

first ⅓ avg 748ms → last ⅓ avg 719ms

Headshot accuracy10.0%+0.6%

first ⅓ avg 9.4% → last ⅓ avg 10.0%

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

0.14Best rating — anubis 13–5

13–1Biggest win — dust2

5Longest win streak

L2Current streak

12–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 63% over 8ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	11–10	52%	-0.05
cache	C	19	8–11	42%	-0.06
mirage	D	17	5–12	29%	-0.06
nuke	D	10	1–9	10%	-0.04
inferno	A	8	5–3	63%	-0.04
vertigo	B	8	4–4	50%	-0.05
ancient	D	5	0–5	0%	-0.06
train	D	5	1–4	20%	-0.04
anubis	—	4	2–2	50%	-0.02
shelter	—	1	1–0	100%	-0.09
fachwerk	—	1	1–0	100%	-0.07
boulder	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

9.8%Headshot accuracy

32.2%Accuracy (enemy spotted)

35.2%Spray accuracy

50.2%Counter-strafing

12.2°Preaim

701msReaction time

13.7%T opening success

28.7%CT opening success

0.38Enemies flashed / flash

2.0%Flash assists

4.45HE damage / grenade

3.49Flashes / 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 12.2403° — 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 9.8132% — 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 700.7423ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Ancient

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	4–13	-0.11	0%	29 Aug →
mirage	0–13	-0.09	4%	29 Aug →
dust2	13–7	-0.05	6%	29 Aug →
mirage	8–13	-0.11	8%	29 Aug →
train	6–13	-0.07	18%	29 Aug →
train	7–5	-0.02	15%	29 Aug →
shelter	13–10	-0.09	20%	29 Aug →
cache	5–7	-0.08	10%	29 Aug →
dust2	13–11	-0.00	18%	29 Aug →
nuke	12–12	0.02	11%	29 Aug →
cache	13–7	-0.02	6%	27 Aug →
cache	13–11	-0.07	7%	27 Aug →
train	5–13	-0.00	8%	25 Aug →
cache	7–13	-0.06	16%	25 Aug →
cache	5–13	-0.07	6%	24 Aug →
mirage	9–13	-0.03	13%	24 Aug →
dust2	12–12	-0.07	13%	24 Aug →
dust2	7–13	-0.06	13%	24 Aug →
anubis	8–13	-0.05	10%	24 Aug →
dust2	13–2	-0.06	18%	24 Aug →
inferno	6–13	-0.06	19%	24 Aug →
dust2	13–10	0.00	8%	24 Aug →
mirage	13–7	-0.04	4%	24 Aug →
anubis	1–13	-0.10	8%	23 Aug →
nuke	13–11	-0.07	5%	22 Aug →
cache	5–13	-0.08	6%	22 Aug →
inferno	13–5	-0.01	8%	10 Aug →
dust2	1–13	-0.08	11%	10 Aug →
cache	13–11	-0.07	4%	10 Aug →
ancient	8–13	-0.04	3%	9 Aug →
cache	9–13	-0.08	23%	9 Aug →
vertigo	4–13	-0.04	8%	9 Aug →
inferno	7–13	-0.10	5%	9 Aug →
cache	1–13	-0.12	11%	9 Aug →
inferno	13–8	-0.07	3%	9 Aug →
dust2	13–1	-0.08	10%	8 Aug →
anubis	13–5	0.14	13%	8 Aug →
dust2	16–14	-0.03	10%	8 Aug →
mirage	13–11	-0.10	10%	8 Aug →
nuke	10–13	0.00	2%	8 Aug →
dust2	9–13	-0.13	0%	8 Aug →
mirage	2–13	-0.11	4%	8 Aug →
vertigo	13–11	-0.03	9%	8 Aug →
vertigo	13–11	-0.02	19%	8 Aug →
inferno	13–9	-0.03	18%	7 Aug →
cache	12–12	-0.14	18%	7 Aug →
inferno	6–13	-0.06	8%	7 Aug →
mirage	10–13	-0.02	8%	7 Aug →
fachwerk	13–3	-0.07	21%	4 Aug →
vertigo	4–13	-0.10	0%	4 Aug →
boulder	13–7	-0.01	3%	4 Aug →
mirage	9–13	-0.02	12%	4 Aug →
inferno	13–11	-0.02	6%	3 Aug →
cache	13–2	0.05	5%	3 Aug →
vertigo	9–13	-0.07	2%	3 Aug →
nuke	3–13	-0.02	6%	3 Aug →
dust2	4–13	-0.07	4%	3 Aug →
vertigo	7–13	-0.09	5%	3 Aug →
mirage	2–13	-0.08	0%	3 Aug →
vertigo	13–7	-0.07	16%	19 Jul →
mirage	0–13	-0.10	7%	19 Jul →
dust2	12–6	-0.03	40%	19 Jul →
nuke	11–13	-0.04	6%	19 Jul →
dust2	10–13	-0.08	17%	19 Jul →
vertigo	13–10	-0.01	12%	19 Jul →
nuke	7–13	-0.05	6%	19 Jul →
train	6–13	-0.02	8%	19 Jul →
cache	3–13	-0.09	5%	19 Jul →
dust2	13–11	-0.06	5%	19 Jul →
ancient	9–13	-0.05	8%	18 Jul →
cache	13–9	-0.01	6%	18 Jul →
dust2	13–16	-0.09	0%	18 Jul →
nuke	6–13	-0.05	5%	18 Jul →
mirage	7–13	-0.08	5%	18 Jul →
dust2	13–8	-0.02	13%	18 Jul →
mirage	13–7	-0.04	10%	18 Jul →
dust2	13–9	0.00	14%	18 Jul →
nuke	9–13	-0.03	10%	17 Jul →
cache	11–13	-0.02	3%	17 Jul →
mirage	13–7	-0.04	6%	17 Jul →
dust2	9–13	-0.07	7%	17 Jul →
mirage	10–13	-0.05	8%	17 Jul →
cache	13–8	-0.02	10%	17 Jul →
dust2	9–13	-0.04	19%	17 Jul →
train	7–13	-0.11	3%	14 Jul →
nuke	1–13	-0.04	16%	14 Jul →
mirage	5–13	-0.06	13%	13 Jul →
ancient	15–15	-0.03	13%	13 Jul →
mirage	13–6	-0.04	7%	13 Jul →
dust2	13–10	0.00	16%	13 Jul →
cache	5–13	-0.08	9%	13 Jul →
anubis	13–11	-0.07	11%	13 Jul →
mirage	2–13	-0.04	24%	13 Jul →
cache	5–13	-0.09	8%	11 Jul →
inferno	13–3	0.02	23%	9 Jul →
cache	13–7	-0.07	13%	9 Jul →
cache	13–7	-0.03	5%	9 Jul →
dust2	10–13	-0.06	3%	9 Jul →
ancient	15–15	-0.07	4%	9 Jul →
nuke	11–13	-0.06	7%	9 Jul →