Team Oscar Carl-Arne Örn! LEGEND — CS2 Stats

76561198119262436[U:1:158996708]

976Tracked matches30%Win rate2020Tracked since

CSDB Rating1.8 Learning

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim15

Positioning23

Utility37

0–100 skill scores via Leetify.

Recent form

COLD32–61–7Last 10032%Win rateLTLLLLLWLW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim1.5

Aggression2.2

Utility3.7

Positioning2.3

Opening Duels0.0

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 NiKo 62% playstyle similarity

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

Where you differ: lower positioning profile; 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. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim1.5

Positioning2.3

Utility3.7

Mechanics2.5

Opening Duels0.0

Win Impact0.0

Composite 1.8/10 (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-0.07−0.02

first ⅓ avg -0.05 → last ⅓ avg -0.07

Reaction time638ms+36ms

first ⅓ avg 602ms → last ⅓ avg 638ms

Headshot accuracy14.1%+2.6%

first ⅓ avg 11.5% → last ⅓ avg 14.1%

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

0.05Best rating — inferno 10–0

13–3Biggest win — anubis

3Longest win streak

8–12In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 53% over 15dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	18	4–14	22%	-0.07
nuke	D	15	5–10	33%	-0.05
inferno	B	15	8–7	53%	-0.04
anubis	D	14	3–11	21%	-0.06
overpass	D	6	2–4	33%	-0.06
vertigo	D	6	2–4	33%	-0.04
mirage	C	5	2–3	40%	-0.06
dust2	D	5	1–4	20%	-0.07
ancient	—	3	1–2	33%	-0.03
train	—	3	1–2	33%	-0.05
stronghold	—	2	1–1	50%	-0.08
edin	—	2	0–2	0%	-0.07
fachwerk	—	1	0–1	0%	-0.11
alpine	—	1	0–1	0%	-0.13
warden	—	1	1–0	100%	0.00
palacio	—	1	0–1	0%	-0.14
office	—	1	1–0	100%	-0.07
basalt	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.5%Headshot accuracy

18.9%Accuracy (enemy spotted)

22.0%Spray accuracy

61.2%Counter-strafing

10.0°Preaim

631msReaction time

21.5%T opening success

25.3%CT opening success

0.49Enemies flashed / flash

2.2%Flash assists

9.88HE damage / grenade

4.58Flashes / 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 14.4851% — 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 0.4861 — 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 21.492% — below the 40% mark we flag

Spend your practice time on Dust 2

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 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	-0.07	6%	18 Aug →
cache	12–12	-0.03	9%	18 Aug →
fachwerk	7–13	-0.11	13%	14 Aug →
cache	7–13	-0.11	5%	14 Aug →
cache	11–13	-0.11	22%	3 Jun →
cache	6–13	-0.09	33%	2 Jun →
cache	7–13	-0.06	18%	2 Jun →
cache	13–8	-0.04	5%	1 Jun →
cache	6–13	-0.08	20%	1 Jun →
cache	13–6	-0.04	31%	31 May →
cache	12–12	-0.08	40%	31 May →
cache	9–13	-0.08	14%	29 May →
inferno	13–11	-0.07	17%	27 May →
cache	11–3	-0.04	0%	27 May →
cache	11–13	-0.11	17%	27 May →
cache	2–13	-0.10	11%	27 May →
cache	13–10	-0.07	20%	26 May →
cache	12–12	-0.08	19%	26 May →
cache	8–13	-0.11	13%	26 May →
cache	7–13	-0.05	10%	8 May →
cache	11–13	-0.05	11%	8 May →
anubis	2–13	-0.09	0%	8 May →
inferno	12–16	-0.02	16%	28 Apr →
alpine	5–13	-0.13	6%	28 Apr →
stronghold	11–13	-0.11	5%	28 Apr →
overpass	13–11	-0.08	7%	25 Apr →
anubis	8–13	-0.08	17%	25 Apr →
mirage	13–11	-0.05	15%	22 Apr →
inferno	13–11	-0.01	10%	22 Apr →
anubis	5–13	-0.06	15%	19 Apr →
dust2	3–13	-0.04	24%	15 Apr →
ancient	3–13	-0.03	6%	15 Apr →
ancient	8–13	-0.00	11%	15 Apr →
dust2	7–13	-0.10	17%	15 Apr →
nuke	9–13	-0.05	3%	10 Apr →
inferno	10–13	-0.08	15%	10 Apr →
dust2	13–9	-0.08	14%	10 Apr →
inferno	7–13	-0.05	20%	7 Apr →
mirage	10–13	-0.02	6%	2 Apr →
inferno	7–13	-0.06	10%	2 Apr →
nuke	13–9	-0.05	22%	2 Apr →
ancient	13–11	-0.06	10%	2 Apr →
anubis	13–3	-0.03	8%	2 Apr →
dust2	14–16	-0.02	16%	2 Apr →
nuke	11–13	-0.05	6%	2 Apr →
nuke	13–16	-0.07	9%	1 Apr →
anubis	11–13	-0.09	13%	1 Apr →
anubis	15–15	-0.03	9%	30 Mar →
overpass	13–11	-0.03	7%	30 Mar →
inferno	10–0	0.05	19%	28 Mar →
dust2	5–13	-0.10	8%	28 Mar →
nuke	1–13	-0.10	7%	28 Mar →
inferno	11–13	-0.06	12%	28 Mar →
inferno	6–13	-0.08	4%	23 Mar →
inferno	13–5	-0.04	5%	23 Mar →
mirage	7–13	-0.09	9%	23 Mar →
nuke	4–13	-0.02	13%	23 Mar →
nuke	16–14	-0.04	6%	19 Mar →
mirage	13–7	-0.07	0%	19 Mar →
nuke	11–13	-0.06	17%	13 Mar →
anubis	10–13	-0.04	7%	13 Mar →
nuke	13–7	-0.02	16%	30 Jan →
anubis	7–13	-0.14	14%	30 Jan →
warden	13–5	0.00	13%	29 Jan →
overpass	2–13	-0.05	22%	29 Jan →
stronghold	13–11	-0.05	16%	29 Jan →
inferno	13–7	-0.08	11%	18 Jan →
overpass	5–13	-0.05	11%	18 Jan →
nuke	8–13	-0.08	14%	18 Jan →
palacio	12–12	-0.14	5%	16 Jan →
anubis	4–13	-0.02	18%	16 Jan →
vertigo	13–10	-0.05	10%	2 Apr →
edin	11–13	-0.08	10%	2 Apr →
anubis	5–13	-0.06	27%	2 Apr →
vertigo	13–4	0.04	13%	28 Mar →
office	13–10	-0.07	27%	28 Mar →
edin	12–12	-0.05	0%	18 Mar →
nuke	6–13	-0.11	19%	18 Mar →
train	5–13	-0.07	12%	15 Mar →
anubis	13–10	-0.03	25%	15 Mar →
vertigo	11–13	-0.09	4%	15 Mar →
basalt	7–13	0.03	19%	15 Mar →
mirage	10–13	-0.09	8%	13 Mar →
nuke	9–3	-0.07	13%	13 Mar →
nuke	10–13	-0.04	18%	3 Mar →
inferno	13–4	-0.06	14%	3 Mar →
overpass	12–12	-0.06	8%	1 Mar →
vertigo	11–13	-0.04	9%	1 Mar →
vertigo	8–13	-0.04	10%	23 Feb →
inferno	13–3	0.00	0%	11 Feb →
overpass	8–13	-0.07	11%	11 Feb →
anubis	13–7	0.05	12%	11 Feb →
vertigo	5–13	-0.05	9%	11 Feb →
nuke	13–7	0.02	9%	11 Feb →
inferno	13–10	-0.06	11%	9 Feb →
train	13–5	-0.01	8%	5 Feb →
inferno	13–16	0.01	9%	3 Feb →
anubis	4–13	-0.09	16%	3 Feb →
anubis	1–13	-0.12	0%	3 Feb →
train	8–13	-0.05	3%	30 Jan →