Sir Jay of Warmhaven — CS2 Stats

76561198050222021[U:1:89956293]Steam profile ↗✓ No bans

969Tracked matches50%Win rate2020Tracked since

1,210Hours in CS

CSDB Rating6.3 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim75

Positioning61

Utility43

0–100 skill scores via Leetify.

Recent form

COLD42–49–9Last 10042%Win rateLLLWLTLWLL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim7.5

Aggression8.4

Utility4.3

Positioning6.1

Opening Duels4.6

Strong 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 ropz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher 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

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 60% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Positioning6.1

Utility4.3

Mechanics8.2

Opening Duels4.6

Win Impact5.0

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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time609ms−52ms

first ⅓ avg 661ms → last ⅓ avg 609ms

Headshot accuracy21.8%+3.5%

first ⅓ avg 18.4% → last ⅓ avg 21.8%

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

0.16Best rating — office 7–13

13–2Biggest win — inferno

5Longest win streak

L3Current streak

4–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

officeBest map · 75% over 8cacheWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	0.03
mirage	B	23	12–11	52%	0.02
inferno	D	17	5–12	29%	-0.01
office	S	8	6–2	75%	0.05
anubis	D	6	2–4	33%	0.05
cache	D	5	0–5	0%	-0.00
nuke	—	4	1–3	25%	-0.02
ancient	—	3	1–2	33%	-0.01
overpass	—	3	0–3	0%	-0.04
vertigo	—	2	0–2	0%	-0.06
train	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Lifetime stats

71,674Lifetime kills

1.36K/D · Top 10% of tracked players

3,874Matches

46.1%Match win rate · Top 50% of tracked players

41.3%Headshot %

15.6%Shot accuracy · Top 25% of tracked players

9,232MVPs

1,210Hours (in match)

3,672Bombs planted

944Bombs defused

Most-used weapons

AK-4716,099

M4A4 / M4A1-S14,409

AWP7,884

Desert Eagle5,168

P2000 / USP-S4,270

Glock-183,402

Galil AR2,063

SSG 081,687

FAMAS1,419

SG 5531,407

Lifetime map wins

10,124dust2

2,889inferno

1,719office

1,583nuke

1,119vertigo

601cbble

426lake

411train

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.

22.3%Headshot accuracy

33.0%Accuracy (enemy spotted)

35.4%Spray accuracy

87.1%Counter-strafing

9.7°Preaim

605msReaction time

37.5%T opening success

59.5%CT opening success

0.51Enemies flashed / flash

3.4%Flash assists

11.27HE damage / grenade

5.20Flashes / 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 37.4761% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–9	-0.04	16%	12 Aug →
mirage	5–13	-0.03	21%	7 Aug →
inferno	6–13	0.00	16%	7 Aug →
ancient	13–5	0.04	27%	30 Jul →
cache	3–13	0.05	27%	30 Jul →
dust2	12–12	-0.01	20%	27 Jul →
vertigo	6–9	-0.08	20%	24 Jul →
nuke	13–7	-0.06	16%	24 Jul →
mirage	11–13	-0.02	26%	23 Jul →
anubis	3–13	0.06	10%	15 Jul →
overpass	6–9	-0.10	40%	10 Jun →
inferno	6–9	-0.13	14%	10 Jun →
inferno	13–8	-0.03	8%	9 Jun →
inferno	8–8	0.03	17%	9 Jun →
nuke	12–12	-0.03	24%	9 Jun →
mirage	12–12	0.11	24%	5 Jun →
cache	10–13	-0.05	19%	4 Jun →
dust2	11–13	0.11	31%	4 Jun →
dust2	13–9	0.09	32%	4 Jun →
mirage	3–13	-0.06	30%	4 Jun →
dust2	12–12	0.15	26%	3 Jun →
mirage	13–8	0.05	31%	29 May →
office	8–13	0.01	16%	29 May →
anubis	9–13	0.06	17%	28 May →
anubis	13–9	0.10	23%	27 May →
inferno	10–13	0.09	20%	27 May →
office	13–6	0.04	19%	27 May →
dust2	13–11	0.09	24%	27 May →
mirage	13–7	0.04	21%	27 May →
inferno	13–7	-0.02	20%	26 May →
office	13–4	0.02	20%	22 May →
inferno	9–13	-0.09	28%	21 May →
dust2	13–6	-0.00	21%	21 May →
dust2	4–13	0.02	16%	15 May →
office	13–5	0.12	33%	15 May →
office	13–8	-0.01	30%	15 May →
dust2	13–9	-0.02	24%	14 May →
mirage	3–13	-0.03	20%	13 May →
office	13–4	0.06	24%	12 May →
dust2	13–8	0.06	25%	12 May →
mirage	4–13	0.03	15%	12 May →
dust2	8–13	0.05	32%	10 May →
cache	11–13	0.08	20%	10 May →
mirage	13–6	0.15	35%	8 May →
anubis	10–13	0.01	16%	8 May →
cache	7–13	-0.00	16%	8 May →
cache	3–13	-0.09	13%	8 May →
inferno	13–2	-0.02	9%	4 May →
dust2	13–6	0.05	25%	22 Apr →
ancient	3–13	-0.06	12%	22 Apr →
inferno	13–7	-0.00	24%	13 Apr →
mirage	13–7	-0.06	11%	11 Apr →
inferno	13–4	-0.01	14%	11 Apr →
dust2	4–10	-0.00	13%	11 Apr →
dust2	9–13	-0.04	26%	25 Mar →
office	7–13	0.16	21%	25 Mar →
dust2	16–14	0.02	19%	24 Mar →
mirage	13–10	0.08	21%	19 Mar →
anubis	13–3	0.09	24%	12 Mar →
overpass	5–13	-0.05	18%	13 Feb →
mirage	13–10	-0.01	15%	28 Jan →
overpass	12–12	0.03	23%	28 Jan →
inferno	7–13	-0.02	25%	23 Jan →
mirage	10–13	-0.01	11%	22 Jan →
nuke	6–13	-0.04	22%	22 Jan →
dust2	16–14	0.04	12%	22 Jan →
inferno	12–12	0.00	13%	21 Jan →
inferno	11–13	0.03	18%	21 Jan →
mirage	13–9	0.07	11%	21 Jan →
dust2	13–4	0.01	15%	19 Jan →
mirage	13–5	0.03	13%	19 Jan →
office	13–7	0.04	17%	12 Jan →
vertigo	2–5	-0.04	24%	26 Dec →
dust2	7–13	-0.04	20%	26 Dec →
dust2	7–13	0.01	19%	22 Dec →
dust2	4–13	-0.03	15%	22 Dec →
anubis	6–13	-0.00	22%	11 Dec →
ancient	6–13	-0.00	24%	11 Dec →
train	11–13	0.06	19%	11 Dec →
dust2	13–9	-0.06	15%	9 Dec →
mirage	13–4	0.10	16%	9 Dec →
inferno	9–13	0.03	33%	8 Dec →
mirage	9–4	0.02	13%	8 Dec →
mirage	12–12	-0.02	15%	8 Dec →
dust2	13–11	-0.01	24%	8 Dec →
mirage	9–13	-0.03	13%	3 Dec →
dust2	8–13	0.06	10%	26 Nov →
dust2	12–12	0.06	21%	26 Nov →
dust2	13–7	0.07	12%	25 Nov →
inferno	10–13	0.02	13%	22 Nov →
nuke	10–13	0.03	4%	18 Nov →
dust2	10–13	-0.05	20%	18 Nov →
dust2	13–8	0.12	25%	14 Nov →
dust2	13–3	0.11	21%	14 Nov →
inferno	8–13	0.03	16%	12 Nov →
mirage	13–4	0.04	25%	12 Nov →
dust2	13–5	0.04	23%	12 Nov →
mirage	13–8	0.06	33%	10 Nov →
mirage	4–13	-0.03	11%	10 Nov →
mirage	4–13	-0.04	25%	9 Nov →