rakuenCallisto! ツ — CS2 Stats

76561197961566360[U:1:1300632]✓ No bans

339Tracked matches34%Win rate2024Tracked since

CSDB Rating4.9 DevelopingAggressive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning50

Utility15

0–100 skill scores via Leetify.

Recent form

COLD36–59–5Last 10036%Win rateLTLLLLLLWW

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

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

Aim7.1

Aggression8.0

Utility1.5

Positioning5.0

Opening Duels2.8

Clutch0.0

Strong CT-side openerLimited utility dependence

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 b1t 81% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

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

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 760ms 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

Aim7.1

Positioning5.0

Utility1.5

Mechanics8.4

Opening Duels2.8

Win Impact0.0

Composite 4.9/10 (Developing), 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 rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time758ms−3ms

first ⅓ avg 761ms → last ⅓ avg 758ms

Headshot accuracy17.1%−3.8%

first ⅓ avg 20.9% → last ⅓ avg 17.1%

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

0.15Best rating — dust2 13–6

13–2Biggest win — mirage

4Longest win streak

2–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 43% over 23ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	26	9–17	35%	-0.01
dust2	C	23	10–13	43%	0.02
nuke	C	22	8–14	36%	-0.02
train	D	9	3–6	33%	0.02
inferno	C	7	3–4	43%	-0.03
ancient	D	5	1–4	20%	0.05
anubis	—	3	2–1	67%	0.02
cache	—	2	0–2	0%	-0.06
overpass	—	2	0–2	0%	-0.10
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

2Matches

0%Win rate

0.62Avg K/D

67.0ADR

46%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

17.4%Headshot accuracy

39.6%Accuracy (enemy spotted)

45.7%Spray accuracy

87.6%Counter-strafing

10.2°Preaim

760msReaction time

33.0%T opening success

49.0%CT opening success

0.25Enemies flashed / flash

0.0%Flash assists

7.23HE damage / grenade

1.15Flashes / 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.

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 759.7748ms — above the 700ms mark we flag
Aim Training →
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 0.25 — below the 0.5 mark we flag
Grenade Lineups →
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 32.9568% — below the 40% mark we flag

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.

20% 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
mirage	6–13	-0.02	15%	21 Aug →
mirage	15–15	-0.01	24%	11 Aug →
mirage	4–13	-0.04	21%	7 Aug →
dust2	12–16	-0.04	4%	6 Aug →
cache	7–13	-0.04	15%	6 Aug →
dust2	5–13	-0.07	6%	6 Aug →
dust2	2–13	-0.08	13%	2 Aug →
cache	1–13	-0.08	10%	2 Aug →
mirage	16–12	-0.04	26%	1 Aug →
dust2	13–4	-0.05	19%	1 Aug →
nuke	11–13	-0.04	29%	1 Aug →
ancient	13–4	0.12	8%	1 Aug →
nuke	3–9	-0.09	3%	1 Aug →
dust2	11–13	-0.04	17%	15 Mar →
office	7–13	-0.03	10%	10 Mar →
train	13–4	0.12	24%	10 Mar →
inferno	13–6	-0.01	17%	10 Mar →
dust2	13–7	-0.01	11%	9 Mar →
nuke	12–16	-0.03	11%	9 Mar →
dust2	13–5	0.04	11%	8 Mar →
ancient	11–13	0.04	18%	7 Mar →
inferno	11–13	0.01	15%	6 Mar →
mirage	0–13	-0.07	0%	6 Mar →
nuke	16–14	-0.03	15%	6 Mar →
dust2	16–12	0.01	18%	5 Mar →
nuke	4–13	-0.12	36%	1 Mar →
mirage	13–9	0.08	17%	1 Mar →
ancient	8–13	0.08	37%	1 Mar →
nuke	3–13	0.02	21%	25 Feb →
overpass	2–13	-0.13	33%	23 Feb →
nuke	10–13	-0.05	17%	23 Feb →
mirage	13–8	0.05	18%	22 Feb →
nuke	9–13	-0.04	24%	22 Feb →
mirage	2–13	-0.06	43%	21 Feb →
mirage	10–13	0.03	18%	7 Oct →
nuke	11–13	-0.00	18%	21 Sept →
train	11–13	-0.01	37%	23 Aug →
overpass	14–16	-0.06	10%	22 Aug →
nuke	10–13	-0.03	23%	31 Jul →
mirage	13–9	-0.00	10%	9 Jul →
mirage	8–13	-0.07	6%	5 Jul →
mirage	13–6	0.13	22%	28 Jun →
mirage	5–13	0.05	24%	14 Jun →
inferno	9–6	-0.04	11%	14 Jun →
ancient	6–13	0.03	10%	10 Jun →
train	13–7	0.07	21%	9 Jun →
nuke	8–13	-0.02	10%	8 Jun →
mirage	13–6	-0.04	6%	20 May →
mirage	15–15	-0.03	11%	13 May →
mirage	7–13	-0.01	5%	5 May →
nuke	10–13	0.03	11%	26 Apr →
dust2	13–6	0.05	26%	24 Apr →
mirage	6–1	-0.05	10%	21 Apr →
ancient	6–13	-0.03	27%	18 Apr →
train	15–15	0.03	27%	18 Apr →
anubis	6–13	-0.01	11%	14 Apr →
nuke	10–13	-0.07	17%	14 Apr →
mirage	13–4	0.12	30%	13 Apr →
nuke	16–14	-0.00	17%	9 Apr →
nuke	13–8	-0.04	17%	8 Apr →
dust2	13–3	0.11	6%	8 Apr →
dust2	7–13	0.00	22%	4 Apr →
nuke	13–9	0.06	16%	4 Apr →
dust2	10–13	0.03	28%	3 Apr →
nuke	13–6	0.03	38%	3 Apr →
train	15–15	0.01	19%	2 Apr →
nuke	13–3	0.09	12%	1 Apr →
inferno	11–13	-0.05	27%	1 Apr →
dust2	9–13	0.13	6%	30 Mar →
train	6–13	-0.05	29%	29 Mar →
dust2	5–13	-0.02	23%	27 Mar →
inferno	13–10	-0.01	14%	23 Mar →
mirage	6–13	-0.01	33%	23 Mar →
mirage	5–13	-0.01	22%	23 Mar →
dust2	8–13	-0.01	13%	23 Mar →
dust2	13–10	0.08	25%	23 Mar →
anubis	13–5	0.11	27%	23 Mar →
nuke	13–5	0.08	26%	23 Mar →
dust2	11–13	0.03	19%	22 Mar →
mirage	8–13	-0.04	33%	22 Mar →
dust2	13–9	-0.06	26%	19 Mar →
nuke	4–13	-0.10	15%	19 Mar →
dust2	9–13	0.01	18%	16 Mar →
mirage	13–2	0.02	18%	14 Mar →
mirage	9–13	-0.03	25%	12 Mar →
dust2	10–13	-0.03	23%	11 Mar →
train	12–6	0.04	15%	11 Mar →
mirage	10–13	-0.04	21%	9 Mar →
mirage	8–13	-0.09	20%	8 Mar →
mirage	15–15	-0.02	13%	6 Mar →
nuke	13–8	0.04	21%	6 Mar →
train	8–13	0.04	14%	6 Mar →
dust2	13–6	0.15	20%	2 Mar →
anubis	13–7	-0.03	17%	2 Mar →
dust2	6–13	0.06	8%	1 Mar →
inferno	10–13	-0.03	7%	1 Mar →
train	11–13	-0.02	35%	1 Mar →
nuke	6–13	-0.03	11%	1 Mar →
inferno	1–13	-0.05	27%	27 Feb →
dust2	13–6	0.10	41%	27 Feb →