Johan Swensson — CS2 Stats

SE76561198020998657[U:1:60732929]Steam profile ↗✓ No bans

673Tracked matches27%Win rate2021Tracked since

422Hours in CS

CSDB Rating1.7 Learning

Ladder ranks via Leetify

Performance scores

Aim9

Positioning49

Utility15

0–100 skill scores via Leetify.

Recent form

COLD39–60–1Last 10039%Win rateLLLLWWLWLL

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

Player DNA

Aim0.9

Aggression6.3

Utility1.5

Positioning4.9

Opening Duels1.7

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 b1t 70% playstyle similarity

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

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 47% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 687ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 49% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.9

Positioning4.9

Utility1.5

Mechanics0.0

Opening Duels2.2

Win Impact0.0

Composite 1.7/10 (Learning), 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-0.02+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time683ms−43ms

first ⅓ avg 726ms → last ⅓ avg 683ms

Headshot accuracy11.2%−1.0%

first ⅓ avg 12.2% → last ⅓ avg 11.2%

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 13–6

13–1Biggest win — ancient

6Longest win streak

L4Current streak

6–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 54% over 13anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	19	8–11	42%	-0.03
nuke	B	18	9–9	50%	-0.03
dust2	C	17	6–11	35%	-0.03
mirage	C	14	5–9	36%	-0.01
inferno	B	13	7–6	54%	-0.00
overpass	D	8	2–6	25%	-0.05
anubis	D	6	1–5	17%	0.01
vertigo	—	2	1–1	50%	0.03
train	—	2	0–2	0%	-0.06
cache	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,569Lifetime kills

0.87K/D

1,053Matches

39.3%Match win rate

38.3%Headshot %

4.0%Shot accuracy

1,704MVPs

422Hours (in match)

1,209Bombs planted

147Bombs defused

Most-used weapons

Negev4,689

AK-472,610

AWP1,754

M4A4 / M4A1-S1,499

SG 5531,089

AUG887

P2000 / USP-S827

Desert Eagle394

P250368

MAC-10334

Lifetime map wins

2,634dust2

1,757inferno

1,301nuke

488vertigo

224train

62office

46cbble

36lake

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.

10.7%Headshot accuracy

23.5%Accuracy (enemy spotted)

26.6%Spray accuracy

48.9%Counter-strafing

10.9°Preaim

687msReaction time

26.5%T opening success

47.3%CT opening success

0.21Enemies flashed / flash

0.0%Flash assists

11.42HE damage / grenade

0.78Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.7316% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2106 — below the 0.5 mark we flag
Grenade Lineups →
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 26.472% — below the 40% mark we flag

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.

17% win rate across 6 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
mirage	10–13	-0.02	7%	8 Aug →
mirage	7–13	0.02	17%	24 Jun →
nuke	5–13	0.03	13%	22 Jun →
anubis	7–13	-0.03	5%	22 Jun →
nuke	13–6	-0.01	13%	12 Jun →
dust2	13–7	-0.07	7%	12 Jun →
ancient	11–13	-0.04	7%	12 Jun →
inferno	13–6	0.00	17%	12 Jun →
mirage	4–13	-0.08	15%	12 Jun →
anubis	6–13	0.06	15%	12 Jun →
dust2	13–3	0.05	11%	12 Jun →
dust2	13–3	0.05	17%	6 Jun →
mirage	13–4	0.05	10%	31 May →
dust2	13–7	-0.04	6%	31 May →
vertigo	3–13	-0.03	12%	23 May →
cache	11–13	0.07	11%	23 May →
ancient	3–13	-0.07	6%	23 May →
nuke	0–13	-0.06	3%	23 May →
dust2	9–13	-0.03	6%	17 May →
ancient	8–13	-0.07	14%	17 May →
mirage	12–16	-0.02	8%	15 May →
inferno	8–13	-0.04	8%	15 May →
anubis	3–8	0.03	13%	15 May →
anubis	4–13	-0.07	9%	15 May →
dust2	13–16	-0.06	14%	9 May →
dust2	2–3	-0.10	25%	9 May →
inferno	8–13	0.05	15%	3 May →
overpass	13–5	0.01	10%	3 May →
mirage	4–13	-0.05	0%	25 Apr →
overpass	5–13	-0.10	19%	25 Apr →
nuke	9–13	-0.09	9%	25 Apr →
nuke	13–7	-0.06	11%	25 Apr →
inferno	13–11	-0.08	17%	25 Apr →
nuke	3–13	-0.10	9%	25 Apr →
ancient	13–4	0.00	7%	25 Apr →
inferno	13–10	0.05	13%	17 Apr →
ancient	13–11	-0.05	6%	17 Apr →
nuke	13–5	0.04	10%	17 Apr →
dust2	8–13	-0.05	4%	17 Apr →
anubis	1–8	0.07	25%	4 Apr →
ancient	13–9	-0.04	11%	3 Apr →
mirage	11–13	-0.09	0%	3 Apr →
nuke	5–13	-0.10	11%	3 Apr →
ancient	8–13	-0.05	10%	3 Apr →
nuke	13–9	0.01	10%	3 Apr →
ancient	16–14	0.00	10%	28 Mar →
mirage	13–5	0.02	12%	28 Mar →
nuke	13–9	-0.01	10%	22 Mar →
inferno	13–2	0.04	13%	22 Mar →
ancient	13–2	0.09	5%	22 Mar →
overpass	2–13	-0.05	7%	22 Mar →
inferno	3–13	0.01	13%	14 Mar →
ancient	13–2	-0.06	7%	14 Mar →
dust2	13–2	0.09	19%	14 Mar →
vertigo	13–11	0.09	15%	14 Mar →
nuke	6–13	-0.04	3%	14 Mar →
mirage	3–13	0.05	12%	14 Mar →
dust2	4–13	-0.03	20%	14 Mar →
ancient	13–10	-0.01	12%	10 Mar →
ancient	12–16	-0.04	14%	1 Mar →
inferno	13–9	0.02	20%	1 Mar →
overpass	7–13	-0.03	8%	1 Mar →
dust2	13–11	-0.01	15%	7 Feb →
ancient	7–13	-0.04	11%	7 Feb →
anubis	13–5	0.01	13%	7 Feb →
overpass	15–15	-0.00	8%	7 Feb →
inferno	11–13	-0.06	10%	7 Feb →
nuke	11–13	-0.08	8%	24 Jan →
mirage	13–4	0.03	10%	24 Jan →
overpass	5–13	-0.04	6%	24 Jan →
ancient	5–13	-0.00	15%	24 Jan →
dust2	10–13	-0.01	12%	18 Jan →
train	14–16	-0.08	11%	18 Jan →
nuke	5–13	0.02	8%	18 Jan →
ancient	13–1	-0.08	20%	18 Jan →
mirage	10–13	-0.02	10%	16 Jan →
dust2	9–13	-0.01	9%	16 Jan →
dust2	1–13	-0.04	17%	16 Jan →
dust2	6–13	-0.07	14%	16 Jan →
inferno	2–6	-0.02	10%	16 Jan →
dust2	14–16	-0.03	8%	10 Jan →
inferno	3–13	0.02	6%	10 Jan →
nuke	13–7	0.07	16%	10 Jan →
mirage	13–6	0.10	24%	10 Jan →
ancient	2–13	-0.07	10%	10 Jan →
mirage	11–13	-0.02	15%	30 Dec →
overpass	13–10	-0.09	17%	30 Dec →
nuke	13–10	-0.08	4%	30 Dec →
ancient	10–13	-0.03	16%	30 Dec →
nuke	4–13	-0.05	6%	30 Dec →
train	11–13	-0.04	17%	30 Dec →
inferno	13–10	-0.04	8%	30 Dec →
ancient	9–13	-0.04	10%	30 Dec →
nuke	13–11	0.06	14%	30 Dec →
dust2	7–13	-0.07	18%	30 Dec →
mirage	16–13	-0.08	11%	30 Dec →
nuke	13–6	-0.02	9%	27 Dec →
overpass	8–13	-0.07	17%	27 Dec →
inferno	13–9	-0.02	17%	27 Dec →
ancient	9–13	-0.05	11%	27 Dec →