Jesmond Grim Reaper — CS2 Stats

76561198069480727[U:1:109214999]

842Tracked matches63%Win rate2020Tracked since

2,393Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim72

Positioning46

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateLLWTWLWWWW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

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

Aim7.2

Aggression6.7

Utility6.0

Positioning4.6

Opening Duels2.8

Clutch0.0

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 Twistzz 89% playstyle similarity

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

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

Areas to improve

Reaction time. 568ms 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

Aim7.2

Positioning4.6

Utility6.0

Mechanics6.7

Opening Duels2.8

Win Impact9.3

Composite 6.2/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time564ms−8ms

first ⅓ avg 573ms → last ⅓ avg 564ms

Headshot accuracy18.0%−2.3%

first ⅓ avg 20.3% → last ⅓ avg 18.0%

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

0.10Best rating — mirage 13–4

13–0Biggest win — mirage

8Longest win streak

L2Current streak

11–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 80% over 5anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	12–10	55%	-0.00
inferno	A	20	11–9	55%	-0.00
nuke	S	17	11–6	65%	-0.00
dust2	A	11	6–5	55%	0.01
anubis	C	10	4–6	40%	-0.03
cache	A	10	6–4	60%	0.00
overpass	C	5	2–3	40%	-0.04
ancient	S	5	4–1	80%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,988Lifetime kills

1.09K/D · Top 50% of tracked players

7,068Matches

39.4%Match win rate

40.2%Headshot %

20.7%Shot accuracy · Top 5% of tracked players

17,214MVPs

2,393Hours (in match)

5,372Bombs planted

2,592Bombs defused

Most-used weapons

AK-4735,265

AWP23,136

M4A4 / M4A1-S21,235

P2000 / USP-S7,581

Desert Eagle7,091

P2505,973

Glock-185,781

Five-SeveN2,823

UMP-452,589

Galil AR2,542

Lifetime map wins

12,110dust2

10,389inferno

2,627train

2,233nuke

1,303vertigo

1,163cbble

300lake

202office

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

Faceit stats

Combat

447Matches

52%Win rate

1.10Avg K/D

39.8ADR

36%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLL

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.

17.2%Headshot accuracy

34.5%Accuracy (enemy spotted)

34.8%Spray accuracy

80.3%Counter-strafing

8.8°Preaim

568msReaction time

41.0%T opening success

41.6%CT opening success

0.70Enemies flashed / flash

6.0%Flash assists

12.57HE damage / grenade

6.39Flashes / match

Recommended for you

Spend your practice time on Anubis

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	0.00	16%	23 Jul →
mirage	11–13	-0.08	15%	20 Jul →
cache	16–13	-0.01	23%	19 Jul →
overpass	15–15	-0.06	14%	28 Jun →
inferno	13–10	-0.02	18%	28 Jun →
inferno	5–13	-0.06	24%	24 Jun →
nuke	16–14	-0.00	19%	15 Jun →
mirage	13–11	-0.01	17%	26 May →
inferno	13–6	-0.04	17%	24 May →
inferno	13–11	-0.02	11%	19 May →
inferno	13–7	0.00	18%	15 May →
mirage	13–4	0.10	17%	14 May →
dust2	13–11	-0.03	14%	14 May →
mirage	13–3	0.05	4%	14 May →
nuke	0–13	-0.10	20%	14 May →
mirage	13–3	0.02	15%	13 May →
ancient	13–11	0.00	12%	13 May →
overpass	13–9	-0.04	15%	12 May →
inferno	3–13	-0.05	31%	12 May →
cache	12–12	0.04	24%	11 May →
anubis	8–13	-0.05	13%	11 May →
mirage	13–2	0.00	15%	11 May →
mirage	10–13	-0.01	19%	11 May →
anubis	13–10	-0.07	12%	10 May →
cache	9–13	0.03	24%	10 May →
dust2	5–13	-0.05	14%	9 May →
mirage	13–9	0.02	12%	7 May →
inferno	13–10	0.01	17%	7 May →
anubis	6–13	0.03	24%	7 May →
cache	12–12	-0.01	24%	6 May →
cache	13–9	-0.01	28%	6 May →
overpass	13–5	-0.03	21%	5 May →
inferno	13–8	0.03	27%	5 May →
cache	13–5	0.00	16%	5 May →
cache	13–8	0.01	20%	5 May →
nuke	13–7	-0.01	18%	4 May →
ancient	13–11	0.02	17%	2 May →
mirage	11–13	0.04	24%	1 May →
dust2	13–6	-0.00	16%	1 May →
dust2	15–15	0.10	23%	30 Apr →
nuke	9–13	-0.02	17%	30 Apr →
mirage	13–10	0.01	12%	30 Apr →
mirage	13–10	-0.06	14%	30 Apr →
cache	13–9	-0.01	19%	29 Apr →
cache	7–13	-0.05	10%	29 Apr →
cache	13–2	0.03	17%	29 Apr →
inferno	8–13	-0.08	12%	28 Apr →
inferno	1–13	0.01	27%	28 Apr →
nuke	13–7	0.05	25%	27 Apr →
anubis	7–13	-0.08	20%	27 Apr →
mirage	15–15	-0.03	18%	27 Apr →
inferno	13–2	0.07	14%	25 Apr →
nuke	13–11	0.02	21%	23 Apr →
ancient	3–13	-0.08	26%	22 Apr →
inferno	9–13	0.05	13%	20 Apr →
nuke	13–9	0.01	26%	20 Apr →
anubis	13–10	-0.01	10%	20 Apr →
dust2	10–13	-0.04	16%	19 Apr →
anubis	13–16	-0.07	14%	19 Apr →
anubis	6–13	-0.07	18%	17 Apr →
inferno	11–13	-0.03	22%	17 Apr →
mirage	10–13	-0.08	24%	16 Apr →
dust2	13–10	-0.04	16%	16 Apr →
mirage	13–9	-0.02	13%	15 Apr →
dust2	8–13	0.05	21%	15 Apr →
inferno	7–13	-0.02	13%	15 Apr →
nuke	13–5	0.08	15%	15 Apr →
overpass	6–13	-0.02	16%	15 Apr →
nuke	2–13	-0.02	19%	14 Apr →
mirage	7–13	0.01	10%	14 Apr →
dust2	13–10	-0.01	20%	14 Apr →
nuke	16–13	0.01	22%	14 Apr →
mirage	16–14	0.05	16%	14 Apr →
dust2	7–13	-0.04	19%	13 Apr →
ancient	13–8	0.05	14%	13 Apr →
nuke	13–8	0.05	44%	13 Apr →
mirage	0–7	-0.03	36%	13 Apr →
anubis	13–9	0.04	26%	12 Apr →
inferno	13–5	-0.03	11%	12 Apr →
nuke	10–13	-0.03	22%	12 Apr →
nuke	13–11	-0.03	15%	10 Apr →
mirage	13–10	0.03	22%	10 Apr →
mirage	9–13	-0.00	27%	8 Apr →
mirage	8–13	-0.00	15%	8 Apr →
overpass	8–13	-0.04	11%	7 Apr →
nuke	13–10	0.00	28%	7 Apr →
dust2	16–14	0.04	27%	6 Apr →
anubis	13–7	-0.05	22%	6 Apr →
mirage	13–0	0.03	21%	6 Apr →
inferno	13–7	0.05	22%	3 Apr →
nuke	9–13	-0.02	18%	3 Apr →
nuke	13–8	0.09	24%	31 Mar →
inferno	13–1	0.02	30%	31 Mar →
dust2	13–11	0.08	20%	28 Mar →
inferno	6–13	0.01	13%	27 Mar →
mirage	10–13	-0.04	19%	27 Mar →
ancient	13–10	-0.05	20%	25 Mar →
nuke	1–2	-0.13	0%	25 Mar →
inferno	5–13	-0.05	19%	25 Mar →
inferno	10–6	0.10	20%	25 Mar →