Jaruga — CS2 Stats

RU76561198337063997[U:1:376798269]Steam profile ↗2 game bans

691Tracked matches45%Win rate2020Tracked since

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating17,969Purple band · top ~16.6% of ranked players (population est.)

CSDB Leaderboard#7540 of 13635 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning55

Utility76

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWWWLTWLLW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.5

Aggression6.0

Utility7.6

Positioning5.5

Opening Duels1.5

Clutch3.8

Strong CT-side openerEffective flashesHigh utility contribution

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 Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 50% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim7.5

Positioning5.5

Utility7.6

Mechanics8.0

Opening Duels2.5

Win Impact3.3

Composite 6.3/10 (Solid), 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-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time601ms−36ms

first ⅓ avg 637ms → last ⅓ avg 601ms

Headshot accuracy21.1%−2.5%

first ⅓ avg 23.6% → last ⅓ avg 21.1%

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

0.23Best rating — nuke 13–8

13–0Biggest win — cache

5Longest win streak

5–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 60% over 25infernoWeakest map · 32% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	25	15–10	60%	0.01
inferno	D	22	7–15	32%	-0.01
dust2	C	20	8–12	40%	0.00
cache	B	15	8–7	53%	0.00
nuke	A	7	4–3	57%	0.04
ancient	C	7	3–4	43%	-0.02
anubis	—	3	1–2	33%	0.02
boulder	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

147Matches

59%Win rate

1.14Avg K/D

81.9ADR

53%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	39	59%	1.24	16.3
Dust2	32	56%	1.02	15.5
Inferno	19	42%	1.20	18.1
Ancient	17	71%	1.03	16.2
Anubis	14	50%	1.03	13.9
Nuke	11	73%	1.20	16.7
Cache	11	73%	1.36	17.8
Overpass	2	50%	0.85	15.0

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.

21.1%Headshot accuracy

34.1%Accuracy (enemy spotted)

35.1%Spray accuracy

86.0%Counter-strafing

9.8°Preaim

599msReaction time

22.1%T opening success

49.9%CT opening success

0.70Enemies flashed / flash

11.5%Flash assists

10.52HE damage / grenade

15.47Flashes / 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 22.0686% — below the 40% mark we flag

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.

32% win rate across 22 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
inferno	7–13	-0.03	21%	28 Aug →
nuke	16–12	0.06	19%	28 Aug →
mirage	13–7	0.05	26%	28 Aug →
cache	13–11	-0.04	18%	23 Aug →
inferno	10–13	-0.03	16%	23 Aug →
dust2	12–12	0.01	23%	23 Aug →
mirage	13–9	0.02	15%	22 Aug →
mirage	11–13	0.04	22%	21 Aug →
mirage	4–13	-0.04	22%	21 Aug →
dust2	13–10	0.03	22%	21 Aug →
cache	16–12	0.00	17%	20 Aug →
cache	13–8	-0.01	23%	20 Aug →
anubis	9–13	0.04	21%	19 Aug →
ancient	12–5	0.02	17%	17 Aug →
ancient	5–13	-0.02	16%	17 Aug →
ancient	13–10	0.00	23%	13 Aug →
mirage	16–14	-0.00	38%	12 Aug →
mirage	2–13	-0.06	10%	11 Aug →
inferno	9–13	-0.03	25%	10 Aug →
mirage	13–10	-0.01	19%	9 Aug →
mirage	5–10	-0.09	13%	3 Aug →
nuke	8–13	0.00	18%	3 Aug →
inferno	11–13	-0.02	17%	2 Aug →
cache	8–13	-0.03	26%	2 Aug →
inferno	13–8	0.03	24%	2 Aug →
boulder	13–4	0.03	10%	1 Aug →
cache	5–13	-0.01	23%	1 Aug →
inferno	7–13	0.02	25%	31 Jul →
ancient	10–13	-0.04	19%	31 Jul →
cache	6–13	0.04	35%	31 Jul →
mirage	13–2	0.07	26%	31 Jul →
mirage	13–7	-0.08	29%	30 Jul →
nuke	15–15	0.05	19%	28 Jul →
cache	9–13	0.04	27%	28 Jul →
mirage	13–7	0.09	26%	28 Jul →
mirage	13–7	0.08	24%	28 Jul →
nuke	13–5	-0.02	17%	26 Jul →
inferno	13–5	0.10	15%	26 Jul →
cache	16–14	-0.01	28%	26 Jul →
cache	10–13	-0.01	28%	25 Jul →
inferno	2–13	-0.07	19%	25 Jul →
cache	13–1	0.04	20%	25 Jul →
anubis	5–13	0.03	21%	25 Jul →
inferno	14–16	0.03	15%	23 Jul →
cache	13–0	-0.03	0%	23 Jul →
mirage	13–7	0.05	22%	22 Jul →
ancient	8–13	-0.06	11%	21 Jul →
inferno	14–16	-0.03	11%	15 Jul →
dust2	13–9	0.06	16%	15 Jul →
dust2	5–13	-0.01	11%	14 Jul →
dust2	4–13	0.01	15%	14 Jul →
dust2	10–13	-0.07	11%	13 Jul →
dust2	13–5	0.13	18%	13 Jul →
mirage	8–13	0.03	19%	13 Jul →
ancient	0–13	-0.05	25%	13 Jul →
dust2	1–13	-0.11	22%	13 Jul →
inferno	13–8	-0.07	19%	12 Jul →
cache	13–5	-0.04	34%	12 Jul →
mirage	13–8	-0.00	22%	12 Jul →
dust2	13–8	0.09	20%	12 Jul →
ancient	13–11	-0.02	13%	12 Jul →
inferno	9–13	-0.01	24%	12 Jul →
dust2	4–13	-0.01	19%	12 Jul →
mirage	8–13	-0.01	26%	12 Jul →
inferno	13–4	0.03	12%	12 Jul →
mirage	13–6	-0.00	17%	12 Jul →
inferno	13–6	0.01	22%	12 Jul →
dust2	13–16	0.00	25%	11 Jul →
mirage	13–8	-0.03	28%	11 Jul →
cache	6–13	-0.06	19%	11 Jul →
inferno	8–13	0.03	17%	11 Jul →
inferno	13–8	0.04	30%	11 Jul →
dust2	7–13	0.01	28%	11 Jul →
dust2	13–0	0.05	31%	10 Jul →
cache	13–4	0.12	41%	10 Jul →
mirage	13–11	0.02	21%	10 Jul →
mirage	6–13	0.02	12%	10 Jul →
inferno	13–6	-0.02	24%	10 Jul →
nuke	13–10	0.04	21%	10 Jul →
dust2	8–13	-0.01	23%	10 Jul →
nuke	13–8	0.23	29%	10 Jul →
cache	6–13	0.01	24%	9 Jul →
dust2	8–13	-0.01	45%	9 Jul →
mirage	11–13	-0.04	25%	9 Jul →
dust2	9–13	-0.04	19%	9 Jul →
dust2	9–2	-0.05	29%	9 Jul →
inferno	5–13	-0.11	17%	9 Jul →
mirage	3–13	-0.03	37%	9 Jul →
dust2	13–7	-0.00	23%	9 Jul →
dust2	4–13	-0.04	36%	8 Jul →
mirage	13–7	0.11	22%	8 Jul →
anubis	13–9	-0.02	15%	6 Jul →
inferno	9–13	-0.02	12%	6 Jul →
inferno	8–13	-0.01	25%	6 Jul →
mirage	5–13	0.02	31%	6 Jul →
nuke	5–13	-0.06	15%	5 Jul →
inferno	7–13	-0.07	19%	27 Jun →
dust2	13–1	0.08	8%	27 Jun →
mirage	13–9	-0.01	19%	25 Jun →
inferno	11–13	-0.01	10%	24 Jun →