Karlsson — CS2 Stats

SE76561198031390725[U:1:71124997]Steam profile ↗✓ No bans

571Tracked matches43%Win rate2020Tracked since

3,996Hours in CS3Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

FaceitLevel 8 · 1,700 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 8 median	Level 9 median	vs Level 9
Headshot rate	45.5%	47.2%	49.0%	3.5% short
Shot accuracy	14.5%	12.3%	13.1%	above
Kill/death ratio	1.10	1.07	1.08	meets
Match win rate	42.0%	46.3%	46.9%	5.0% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim78

Positioning54

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateWWLLLWWLLL

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.

Aim7.8

Aggression9.4

Utility5.5

Positioning5.4

Opening Duels4.4

Clutch3.8

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 sh1ro 92% playstyle similarity

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

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. 612ms 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

Aim7.8

Positioning5.4

Utility5.5

Mechanics7.2

Opening Duels4.4

Win Impact2.8

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time608ms−19ms

first ⅓ avg 627ms → last ⅓ avg 608ms

Headshot accuracy23.0%−1.1%

first ⅓ avg 24.1% → last ⅓ avg 23.0%

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

0.13Best rating — dust2 9–13

13–2Biggest win — inferno

4Longest win streak

W2Current streak

14–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 63% over 8infernoWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	33	14–19	42%	0.01
dust2	B	20	9–11	45%	0.01
inferno	D	18	6–12	33%	0.01
nuke	B	12	6–6	50%	0.02
cache	A	8	5–3	63%	-0.00
anubis	A	5	3–2	60%	0.03
overpass	—	3	2–1	67%	-0.03
vertigo	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,160Lifetime kills

1.10K/D · Top 50% of Level 8 players

4,784Matches

42.0%Match win rate

45.5%Headshot %

14.5%Shot accuracy · Top 50% of Level 8 players

10,355MVPs

1,931Hours (in match)

3,089Bombs planted

1,017Bombs defused

Most-used weapons

AK-4729,303

AWP17,275

M4A4 / M4A1-S14,113

P2000 / USP-S7,128

Desert Eagle6,383

Glock-184,089

Knife2,648

FAMAS2,343

SSG 082,211

Galil AR1,991

Lifetime map wins

13,225dust2

4,112inferno

1,308nuke

418train

270cbble

201vertigo

75lake

56office

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

Faceit stats

Combat

257Matches

53%Win rate

1.10Avg K/D

77.6ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

16%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	69	54%	1.07	15.0
Dust2	33	61%	1.18	17.6
Inferno	32	59%	1.06	14.4
Anubis	26	38%	0.99	15.7
Nuke	11	55%	0.93	13.7
Ancient	10	30%	0.73	11.7
Overpass	5	80%	1.49	16.6
Train	3	67%	0.91	11.0

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.

23.1%Headshot accuracy

34.8%Accuracy (enemy spotted)

37.3%Spray accuracy

82.6%Counter-strafing

9.0°Preaim

612msReaction time

50.1%T opening success

44.7%CT opening success

0.48Enemies flashed / flash

8.1%Flash assists

8.53HE damage / grenade

11.13Flashes / 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.

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 0.4813 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	0.04	17%	15 Aug →
mirage	13–3	0.03	14%	6 Aug →
mirage	3–13	-0.03	24%	29 Jul →
dust2	11–13	-0.02	25%	29 Jul →
cache	9–13	-0.02	18%	29 Jul →
cache	13–11	0.07	26%	25 Jul →
mirage	13–3	0.06	34%	23 Jul →
mirage	6–13	-0.03	13%	21 Jul →
nuke	10–13	0.11	28%	27 May →
anubis	7–13	-0.04	33%	27 May →
inferno	6–13	-0.03	15%	26 May →
cache	13–10	0.10	14%	26 May →
cache	13–9	-0.03	19%	11 May →
inferno	13–7	-0.06	2%	8 May →
cache	13–7	-0.07	14%	8 May →
cache	3–13	-0.02	34%	2 May →
dust2	8–13	-0.00	54%	2 May →
cache	11–13	-0.00	32%	1 May →
cache	13–3	-0.03	11%	1 May →
dust2	4–13	0.03	23%	13 Apr →
mirage	13–8	0.03	17%	13 Apr →
mirage	12–16	-0.05	32%	10 Apr →
mirage	5–13	0.01	22%	9 Apr →
nuke	13–4	0.10	39%	9 Apr →
overpass	13–11	-0.05	27%	8 Apr →
mirage	13–9	0.02	19%	8 Apr →
nuke	10–13	-0.04	21%	7 Apr →
mirage	8–13	-0.01	21%	7 Apr →
mirage	11–13	0.08	18%	6 Apr →
dust2	8–13	0.01	26%	4 Apr →
mirage	7–13	0.03	28%	4 Apr →
mirage	13–11	0.04	17%	2 Apr →
dust2	13–11	0.01	23%	2 Apr →
overpass	13–6	-0.02	13%	25 Mar →
anubis	16–13	0.02	25%	25 Mar →
inferno	4–13	-0.01	33%	25 Mar →
mirage	13–5	-0.00	23%	25 Mar →
mirage	6–13	-0.01	17%	22 Mar →
dust2	13–11	-0.02	22%	22 Mar →
mirage	2–13	-0.06	22%	22 Mar →
dust2	4–13	-0.06	22%	20 Mar →
nuke	13–11	-0.02	23%	19 Mar →
inferno	8–13	0.04	28%	19 Mar →
inferno	6–13	-0.01	18%	18 Mar →
dust2	13–11	-0.01	23%	18 Mar →
dust2	10–13	0.03	26%	15 Mar →
nuke	9–13	0.01	19%	15 Mar →
mirage	13–3	-0.03	14%	12 Mar →
inferno	13–7	0.02	17%	12 Mar →
inferno	6–13	0.02	23%	11 Mar →
dust2	13–11	0.03	25%	11 Mar →
mirage	13–8	0.08	33%	10 Mar →
nuke	13–8	-0.02	21%	9 Mar →
mirage	9–13	-0.02	21%	4 Mar →
dust2	13–11	-0.02	38%	4 Mar →
mirage	2–13	-0.10	19%	4 Mar →
inferno	10–13	0.01	33%	3 Mar →
anubis	11–13	0.01	23%	21 Feb →
inferno	9–13	0.04	15%	21 Feb →
mirage	13–11	-0.06	12%	20 Feb →
mirage	11–13	-0.06	17%	20 Feb →
anubis	13–4	0.09	18%	20 Feb →
inferno	11–13	-0.03	10%	20 Feb →
mirage	11–13	0.02	19%	20 Feb →
nuke	10–13	-0.03	11%	20 Feb →
inferno	16–13	0.02	14%	18 Feb →
nuke	13–10	0.04	16%	18 Feb →
inferno	9–13	-0.02	25%	18 Feb →
inferno	13–2	-0.04	8%	18 Feb →
mirage	11–13	0.02	15%	17 Feb →
mirage	6–13	-0.02	18%	16 Feb →
mirage	13–11	-0.01	35%	16 Feb →
nuke	2–13	-0.06	39%	16 Feb →
inferno	13–4	0.09	20%	16 Feb →
mirage	9–13	-0.00	20%	15 Feb →
inferno	13–5	0.04	26%	15 Feb →
dust2	13–10	-0.02	24%	15 Feb →
dust2	10–13	0.02	18%	15 Feb →
mirage	13–7	0.01	22%	12 Feb →
nuke	13–5	0.12	24%	12 Feb →
mirage	10–13	0.04	27%	8 Feb →
mirage	13–7	0.08	13%	7 Feb →
dust2	13–11	0.07	21%	6 Feb →
dust2	8–13	-0.04	24%	6 Feb →
inferno	6–13	0.08	34%	5 Feb →
nuke	13–11	0.01	20%	5 Feb →
dust2	8–13	0.01	23%	5 Feb →
mirage	4–13	0.07	16%	3 Feb →
vertigo	10–13	-0.00	31%	2 Feb →
mirage	10–13	0.05	17%	2 Feb →
inferno	6–13	0.00	24%	2 Feb →
dust2	13–9	-0.05	28%	31 Jan →
dust2	13–5	0.06	30%	31 Jan →
mirage	13–6	0.08	38%	31 Jan →
dust2	8–13	0.02	22%	31 Jan →
anubis	13–5	0.09	30%	31 Jan →
overpass	4–13	-0.02	34%	30 Jan →
nuke	3–13	0.06	25%	29 Jan →
inferno	8–13	0.02	25%	29 Jan →
dust2	9–13	0.13	20%	29 Jan →