Jason Borne'holmeren™ GOK GOK — CS2 Stats

76561198859498389[U:1:899232661]✓ No bans

3,378Tracked matches50%Win rate2020Tracked since

5,294Hours in CS

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#7510 of 17014 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning61

Utility59

0–100 skill scores via Leetify.

Recent form

COLD46–54Last 10046%Win rateLLWLWLLLWL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim6.3

Aggression9.2

Utility5.9

Positioning6.1

Opening Duels3.6

Clutch5.6

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 jL 90% playstyle similarity

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

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. 607ms 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

Aim6.3

Positioning6.1

Utility5.9

Mechanics5.9

Opening Duels3.6

Win Impact5.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time613ms+64ms

first ⅓ avg 549ms → last ⅓ avg 613ms

Headshot accuracy20.6%+2.3%

first ⅓ avg 18.4% → last ⅓ avg 20.6%

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

0.36Best rating — stronghold 5–0

13–2Biggest win — ancient

4Longest win streak

L2Current streak

6–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	14–9	61%	0.02
ancient	A	20	11–9	55%	0.00
nuke	C	19	7–12	37%	-0.00
anubis	D	10	2–8	20%	-0.00
dust2	D	8	2–6	25%	-0.04
cache	A	7	4–3	57%	0.01
overpass	S	5	4–1	80%	-0.01
vertigo	—	4	1–3	25%	-0.06
mirage	—	2	0–2	0%	0.05
stronghold	—	1	1–0	100%	0.36
train	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

203,371Lifetime kills

1.19K/D · Top 50% of Pink band

4,529Matches

45.7%Match win rate

64.4%Headshot % · Top 10% of Pink band

10.9%Shot accuracy

12,185MVPs

5,294Hours (in match)

4,647Bombs planted

1,173Bombs defused

Most-used weapons

AK-4795,971

Desert Eagle34,542

P2000 / USP-S19,466

M4A4 / M4A1-S14,550

AWP14,405

Glock-183,908

P2502,856

Galil AR2,383

FAMAS1,915

Five-SeveN1,612

Lifetime map wins

9,408nuke

7,483vertigo

6,452inferno

2,668dust2

1,020train

346cbble

28lake

27office

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

Faceit stats

Combat

423Matches

51%Win rate

1.22Avg K/D

88.4ADR

38%Headshot %

Clutches & streaks

48%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	48	54%	1.18	17.7
Ancient	43	49%	1.19	18.0
Nuke	37	51%	1.28	16.0
Inferno	19	53%	1.33	18.3
Anubis	14	43%	1.29	17.5
Overpass	11	73%	1.05	15.6
Dust2	9	44%	1.19	17.7
Mirage	3	67%	1.46	15.7

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.

20.0%Headshot accuracy

30.2%Accuracy (enemy spotted)

27.5%Spray accuracy

76.6%Counter-strafing

7.1°Preaim

607msReaction time

43.4%T opening success

45.8%CT opening success

0.66Enemies flashed / flash

7.4%Flash assists

7.24HE damage / grenade

10.58Flashes / 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.

20% 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
dust2	12–16	-0.02	18%	7 Aug →
dust2	3–13	-0.04	28%	7 Aug →
inferno	13–4	0.18	23%	7 Aug →
cache	10–13	0.01	24%	6 Aug →
ancient	13–10	-0.02	11%	4 Aug →
cache	11–13	0.00	14%	4 Aug →
nuke	14–16	-0.01	21%	4 Aug →
inferno	6–13	-0.05	22%	4 Aug →
anubis	13–8	0.06	21%	4 Aug →
mirage	11–13	0.04	15%	4 Aug →
nuke	13–8	-0.01	18%	4 Aug →
ancient	5–13	0.01	16%	4 Aug →
inferno	6–13	-0.03	17%	4 Aug →
nuke	13–3	0.06	27%	4 Aug →
cache	13–7	0.02	15%	4 Aug →
dust2	13–9	-0.05	19%	4 Aug →
ancient	13–2	0.03	18%	4 Aug →
ancient	6–13	0.02	26%	3 Aug →
anubis	11–13	-0.02	21%	3 Aug →
inferno	13–8	0.11	20%	3 Aug →
cache	2–13	-0.02	23%	3 Aug →
cache	13–11	0.02	18%	24 Jul →
ancient	13–9	-0.05	24%	24 Jul →
cache	13–9	0.01	19%	24 Jul →
inferno	2–13	-0.03	15%	24 Jul →
nuke	9–13	0.04	19%	22 Jul →
inferno	13–9	0.02	21%	21 Jul →
ancient	9–13	0.04	23%	21 Jul →
inferno	11–2	0.01	24%	16 Jul →
inferno	13–10	0.01	27%	16 Jul →
nuke	7–13	-0.00	29%	16 Jul →
dust2	1–13	-0.06	33%	16 Jul →
inferno	13–11	-0.01	14%	14 Jul →
nuke	7–13	-0.04	24%	14 Jul →
nuke	5–13	-0.05	19%	5 Jul →
overpass	13–4	0.05	13%	5 Jul →
inferno	13–7	0.11	23%	5 Jul →
nuke	14–16	0.02	20%	5 Jul →
overpass	7–13	-0.04	25%	5 Jul →
inferno	16–14	0.06	14%	5 Jul →
ancient	16–14	0.02	14%	5 Jul →
ancient	6–13	-0.06	35%	5 Jul →
inferno	13–6	0.00	10%	5 Jul →
inferno	13–4	-0.04	14%	5 Jul →
inferno	4–13	-0.07	20%	5 Jul →
anubis	6–13	-0.02	20%	4 Jul →
ancient	2–13	-0.06	17%	28 Jun →
inferno	4–13	-0.03	11%	28 Jun →
inferno	13–11	-0.03	21%	26 Jun →
ancient	13–7	0.02	19%	20 Jun →
ancient	13–4	0.17	16%	20 Jun →
nuke	13–7	-0.05	34%	20 Jun →
anubis	4–13	-0.06	8%	18 Jun →
nuke	13–7	0.05	20%	18 Jun →
ancient	13–3	0.00	12%	18 Jun →
inferno	9–13	0.13	17%	17 Jun →
overpass	13–2	0.02	36%	17 Jun →
nuke	13–10	0.15	22%	17 Jun →
ancient	13–3	0.06	25%	17 Jun →
ancient	13–7	0.06	15%	11 Jun →
nuke	5–13	0.05	16%	11 Jun →
anubis	11–13	0.03	22%	11 Jun →
ancient	5–13	-0.10	8%	11 Jun →
nuke	16–12	-0.01	19%	5 Jun →
overpass	16–13	-0.01	22%	5 Jun →
ancient	6–13	-0.06	19%	4 Jun →
nuke	5–13	-0.07	17%	4 Jun →
anubis	3–13	-0.06	14%	30 May →
ancient	13–3	0.09	14%	29 May →
anubis	6–13	0.12	14%	29 May →
inferno	13–9	0.03	16%	29 May →
inferno	13–8	0.10	13%	29 May →
ancient	7–13	-0.03	13%	29 May →
anubis	13–9	0.00	24%	29 May →
vertigo	4–9	-0.22	25%	29 May →
dust2	13–10	-0.01	19%	29 May →
dust2	2–13	-0.07	17%	29 May →
nuke	5–13	0.01	24%	29 May →
ancient	13–6	-0.03	14%	28 May →
nuke	13–11	-0.06	11%	28 May →
vertigo	9–13	-0.06	16%	28 May →
vertigo	13–4	0.07	21%	27 May →
stronghold	5–0	0.36	25%	27 May →
train	8–13	0.07	30%	27 May →
cache	13–8	0.02	26%	27 May →
nuke	0–2	-0.09	0%	27 May →
ancient	8–13	-0.03	24%	21 May →
mirage	8–13	0.06	25%	21 May →
inferno	13–6	0.04	15%	21 May →
inferno	10–13	-0.01	19%	21 May →
nuke	9–13	-0.01	19%	16 May →
dust2	4–13	-0.03	12%	15 May →
inferno	5–13	-0.03	26%	15 May →
anubis	1–13	-0.07	20%	15 May →
nuke	11–13	-0.05	16%	14 May →
anubis	11–13	-0.01	22%	13 May →
inferno	11–13	0.02	20%	13 May →
overpass	13–3	-0.05	13%	13 May →
vertigo	5–9	-0.03	22%	12 May →
dust2	8–13	-0.07	17%	12 May →