jaRvas_ — CS2 Stats

76561198148513576[U:1:188247848]

3,050Tracked matches69%Win rate2020Tracked since

21,890Hours in CS

CSDB Rating7.9 StrongAggressive Rifler

Premier CS Rating27,645Top 10% of 819 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)

CSDB Leaderboard#576 of 19593 tracked

FaceitLevel 10 · 2,575 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=218), 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	50.4%	52.8%
Shot accuracy	16.9%	13.7%
Kill/death ratio	0.73	1.08
Match win rate	45.0%	49.2%

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Performance scores

Aim87

Positioning69

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWLWWLLWWLW

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

Aggression10.0

Utility6.4

Positioning6.9

Opening Duels5.0

Clutch3.2

Sharp aimerStrong CT-side opener

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 sh1ro 97% playstyle similarity

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

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

T-side openings. Opening success drops from 60% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim8.7

Positioning6.9

Utility6.4

Mechanics7.1

Opening Duels5.0

Win Impact10.0

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time563ms−34ms

first ⅓ avg 597ms → last ⅓ avg 563ms

Headshot accuracy23.7%−0.4%

first ⅓ avg 24.1% → last ⅓ avg 23.7%

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

0.27Best rating — inferno 13–4

13–1Biggest win — mirage

6Longest win streak

7–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 67% over 12infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	35	19–16	54%	0.03
dust2	B	15	7–8	47%	0.00
anubis	A	14	8–6	57%	0.00
nuke	S	12	8–4	67%	0.04
inferno	C	11	4–7	36%	0.04
ancient	C	8	3–5	38%	0.00
cache	—	3	3–0	100%	0.04
vertigo	—	1	0–1	0%	-0.01
overpass	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

369,547Lifetime kills

0.73K/D

8,158Matches

45.0%Match win rate

50.4%Headshot %

16.9%Shot accuracy · Top 25% of Level 10 players

21,418MVPs

21,890Hours (in match)

9,198Bombs planted

4,418Bombs defused

Most-used weapons

AK-47185,312

M4A4 / M4A1-S59,517

P2000 / USP-S31,348

AWP31,226

Desert Eagle19,713

Glock-187,437

SG 5535,502

Galil AR3,515

P2503,434

FAMAS2,753

Lifetime map wins

16,353inferno

7,052nuke

5,187dust2

3,717train

2,162vertigo

1,361cbble

132lake

116safehouse

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

Faceit stats

Combat

2,113Matches

54%Win rate

1.15Avg K/D

81.0ADR

50%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	440	57%	1.18	16.6
Anubis	203	50%	1.14	15.6
Nuke	157	61%	1.20	15.9
Ancient	151	51%	1.05	15.0
Inferno	83	55%	1.29	17.8
Dust2	37	54%	1.12	14.3
Train	22	36%	1.08	17.8
Overpass	17	53%	1.22	16.9

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.

23.8%Headshot accuracy

38.7%Accuracy (enemy spotted)

41.1%Spray accuracy

82.0%Counter-strafing

9.4°Preaim

560msReaction time

39.9%T opening success

59.8%CT opening success

0.59Enemies flashed / flash

7.5%Flash assists

8.00HE damage / grenade

11.67Flashes / 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 39.9087% — 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.

36% win rate across 11 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
anubis	13–8	0.05	20%	20 Aug →
ancient	6–13	0.04	24%	18 Aug →
anubis	19–17	0.01	13%	17 Aug →
nuke	13–7	0.00	16%	16 Aug →
mirage	12–16	-0.05	26%	16 Aug →
mirage	2–13	-0.03	39%	15 Aug →
nuke	13–8	-0.00	21%	15 Aug →
mirage	13–10	0.06	38%	14 Aug →
anubis	10–13	-0.01	15%	14 Aug →
mirage	13–10	0.02	15%	11 Aug →
anubis	13–11	0.03	22%	5 Aug →
dust2	3–13	-0.02	39%	31 Jul →
dust2	13–11	-0.01	37%	29 Jul →
ancient	13–4	0.01	30%	22 Jul →
dust2	7–13	0.08	29%	19 Jul →
mirage	6–13	-0.03	16%	18 Jul →
inferno	13–6	0.01	19%	18 Jul →
anubis	13–7	0.03	17%	18 Jul →
mirage	13–9	0.05	16%	18 Jul →
cache	13–7	-0.01	30%	18 Jul →
nuke	13–9	0.07	25%	17 Jul →
mirage	13–7	0.08	31%	16 Jul →
inferno	11–13	-0.05	38%	16 Jul →
mirage	13–5	0.01	18%	16 Jul →
mirage	11–13	0.03	15%	14 Jul →
anubis	13–5	0.01	25%	14 Jul →
dust2	12–12	0.10	25%	10 Jul →
nuke	13–9	0.03	24%	10 Jul →
mirage	13–6	0.06	14%	9 Jul →
nuke	13–5	0.12	30%	9 Jul →
dust2	3–13	-0.05	15%	9 Jul →
dust2	15–15	0.02	20%	9 Jul →
mirage	13–1	0.20	19%	9 Jul →
anubis	13–5	0.06	25%	9 Jul →
mirage	4–13	-0.06	20%	9 Jul →
cache	13–8	0.05	20%	9 Jul →
cache	13–5	0.07	17%	8 Jul →
dust2	13–11	-0.07	15%	8 Jul →
inferno	9–13	0.03	26%	28 Jun →
dust2	2–13	-0.07	38%	22 Jun →
mirage	13–8	0.07	15%	18 Jun →
mirage	13–8	0.17	37%	15 Jun →
mirage	15–19	-0.02	22%	14 Jun →
ancient	10–13	0.03	26%	12 Jun →
nuke	14–16	0.03	29%	10 Jun →
mirage	3–13	-0.07	23%	7 Jun →
mirage	11–13	-0.03	24%	7 Jun →
dust2	13–10	-0.02	25%	31 May →
anubis	6–13	-0.02	31%	29 May →
ancient	9–13	-0.06	20%	27 May →
anubis	6–13	-0.06	26%	26 May →
dust2	6–13	-0.06	29%	25 May →
dust2	13–9	0.02	23%	23 May →
dust2	16–13	0.05	21%	20 May →
inferno	11–13	0.04	43%	19 May →
anubis	13–9	-0.00	20%	9 May →
mirage	13–9	0.04	27%	9 May →
mirage	13–11	-0.02	24%	9 May →
mirage	16–14	0.05	25%	8 May →
mirage	10–13	-0.05	26%	7 May →
mirage	9–13	0.01	39%	7 May →
mirage	10–13	-0.01	20%	7 May →
anubis	7–13	-0.03	21%	1 May →
inferno	9–3	-0.02	28%	30 Apr →
ancient	13–8	0.02	17%	30 Apr →
mirage	11–13	-0.02	26%	27 Apr →
mirage	5–13	0.04	13%	26 Apr →
ancient	11–13	-0.06	22%	21 Apr →
dust2	13–4	-0.00	35%	20 Apr →
ancient	13–6	0.02	25%	16 Apr →
dust2	18–6	0.05	29%	13 Apr →
mirage	5–13	-0.01	31%	12 Apr →
anubis	13–10	0.03	36%	11 Apr →
vertigo	2–13	-0.01	31%	7 Apr →
ancient	3–13	0.03	27%	7 Apr →
mirage	13–8	0.06	24%	5 Apr →
overpass	13–11	0.05	16%	1 Apr →
dust2	8–13	-0.00	22%	29 Mar →
inferno	6–13	0.04	21%	29 Mar →
anubis	4–13	0.00	17%	26 Mar →
inferno	13–8	0.08	29%	26 Mar →
inferno	9–13	0.03	28%	25 Mar →
mirage	13–1	0.15	20%	10 Mar →
nuke	13–7	0.08	36%	10 Mar →
mirage	13–7	0.02	13%	10 Mar →
nuke	11–13	0.07	24%	25 Feb →
inferno	7–13	-0.02	24%	24 Feb →
nuke	5–13	0.07	29%	20 Feb →
inferno	13–4	0.27	27%	20 Feb →
mirage	6–13	0.03	37%	7 Feb →
nuke	13–7	0.03	27%	7 Feb →
mirage	13–10	-0.02	13%	7 Feb →
nuke	13–16	-0.04	22%	6 Feb →
inferno	4–13	0.05	20%	5 Feb →
mirage	15–15	0.04	25%	4 Feb →
mirage	13–10	0.00	17%	4 Feb →
anubis	2–13	-0.07	14%	4 Feb →
mirage	13–7	0.11	16%	1 Feb →
nuke	13–8	0.03	22%	1 Feb →
mirage	13–6	0.09	17%	31 Jan →