ElectricSweetPotato — CS2 Stats

US76561198340322262[U:1:380056534]Steam profile ↗✓ No bans

2,101Tracked matches60%Win rate2020Tracked since

3,265Hours in CS

CSDB Rating5.7 Solid

FaceitLevel 10 · 2,012 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median
Headshot rate	33.7%	51.9%
Shot accuracy	15.4%	13.7%
Kill/death ratio	1.10	1.08
Match win rate	42.5%	48.7%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim57

Positioning62

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWWLLLLWLWL

Last 10 vs previous 10: -50pp win rate · +0.04 avg rating

Player DNA

Aim5.7

Aggression9.3

Utility5.9

Positioning6.2

Opening Duels5.7

Clutch3.6

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 sh1ro 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 71% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim5.7

Positioning6.2

Utility5.9

Mechanics3.0

Opening Duels5.6

Win Impact8.3

Composite 5.7/10 (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 rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time561ms−7ms

first ⅓ avg 567ms → last ⅓ avg 561ms

Headshot accuracy18.9%+1.4%

first ⅓ avg 17.5% → last ⅓ avg 18.9%

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

0.15Best rating — dust2 13–7

13–2Biggest win — inferno

9Longest win streak

W2Current streak

9–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 83% over 6nukeWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	17	11–6	65%	0.01
dust2	B	17	9–8	53%	0.01
inferno	B	15	7–8	47%	0.02
nuke	D	12	4–8	33%	-0.01
ancient	D	12	4–8	33%	0.02
cache	A	8	5–3	63%	0.00
overpass	A	7	4–3	57%	0.02
anubis	S	6	5–1	83%	0.02
office	—	3	0–3	0%	0.08
train	—	2	1–1	50%	0.03
vertigo	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

163,866Lifetime kills

1.10K/D · Top 50% of Level 10 players

7,470Matches

42.5%Match win rate

33.7%Headshot %

15.4%Shot accuracy · Top 50% of Level 10 players

17,526MVPs

3,265Hours (in match)

6,515Bombs planted

1,780Bombs defused

Most-used weapons

AWP38,738

AK-4737,669

M4A4 / M4A1-S20,272

P2000 / USP-S7,622

Desert Eagle7,422

Glock-186,848

P2505,870

SG 5534,135

MAC-103,862

UMP-453,545

Lifetime map wins

25,853dust2

10,255inferno

4,037vertigo

3,359nuke

2,144train

2,010office

830cbble

285lake

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

Faceit stats

Combat

1,083Matches

51%Win rate

1.11Avg K/D

81.8ADR

33%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	130	50%	1.14	15.5
Mirage	81	53%	1.09	15.4
Vertigo	62	60%	1.19	16.8
Inferno	56	43%	1.10	16.6
Anubis	53	43%	1.12	16.1
Dust2	48	58%	1.12	16.8
Overpass	42	57%	1.35	16.5
Nuke	35	57%	1.09	16.8

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.

18.8%Headshot accuracy

33.3%Accuracy (enemy spotted)

38.2%Spray accuracy

63.7%Counter-strafing

10.6°Preaim

565msReaction time

34.9%T opening success

70.7%CT opening success

0.52Enemies flashed / flash

6.2%Flash assists

11.15HE damage / grenade

9.83Flashes / 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.

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 34.9324% — below the 40% mark we flag

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–11	-0.03	25%	27 Jul →
vertigo	13–4	0.07	17%	10 Jul →
office	4–13	0.12	17%	10 Jul →
mirage	11–13	-0.04	21%	10 Jul →
inferno	10–13	-0.00	11%	29 Jun →
ancient	11–13	0.03	20%	29 Jun →
dust2	13–7	0.01	15%	14 Jun →
ancient	4–13	-0.00	20%	14 Jun →
ancient	13–9	0.04	15%	13 Jun →
inferno	8–13	0.08	14%	13 Jun →
nuke	8–13	-0.06	8%	13 Jun →
mirage	13–10	-0.04	18%	13 Jun →
anubis	9–5	0.02	38%	13 Jun →
mirage	13–10	0.06	29%	10 Jun →
inferno	13–11	-0.01	11%	9 Jun →
dust2	13–8	0.04	29%	9 Jun →
dust2	13–7	0.04	5%	7 Jun →
mirage	13–10	-0.06	10%	7 Jun →
mirage	13–8	0.01	12%	23 May →
nuke	13–6	-0.08	18%	23 May →
dust2	8–13	-0.04	18%	23 May →
inferno	10–13	-0.02	17%	23 May →
nuke	5–10	0.02	23%	11 May →
cache	9–13	0.00	19%	10 May →
cache	13–5	0.06	21%	5 May →
nuke	10–13	-0.03	19%	5 May →
cache	13–11	0.00	35%	2 May →
cache	13–9	0.01	21%	2 May →
cache	13–3	0.03	16%	1 May →
cache	13–6	0.03	26%	1 May →
cache	10–13	-0.01	16%	30 Apr →
cache	10–13	-0.11	27%	30 Apr →
mirage	7–13	-0.02	12%	21 Apr →
inferno	13–11	-0.05	33%	2 Apr →
ancient	7–13	0.01	15%	2 Apr →
mirage	13–5	-0.01	21%	2 Apr →
mirage	15–15	-0.04	13%	30 Mar →
dust2	13–9	-0.01	12%	30 Mar →
ancient	13–6	0.04	16%	28 Mar →
inferno	15–15	0.02	21%	28 Mar →
mirage	16–13	-0.02	10%	28 Mar →
ancient	9–13	-0.03	14%	28 Mar →
nuke	11–13	0.01	18%	23 Mar →
ancient	13–8	0.02	16%	23 Mar →
nuke	13–10	0.04	33%	21 Mar →
inferno	13–2	0.06	24%	21 Mar →
dust2	9–13	-0.06	24%	21 Mar →
mirage	13–16	0.03	30%	18 Mar →
overpass	13–10	-0.08	11%	15 Mar →
inferno	11–13	0.04	12%	15 Mar →
nuke	10–13	0.00	8%	15 Mar →
dust2	3–13	-0.03	17%	15 Mar →
anubis	13–11	-0.06	25%	15 Mar →
mirage	13–8	0.05	16%	15 Mar →
overpass	13–10	0.01	3%	7 Mar →
inferno	13–4	0.02	24%	7 Mar →
ancient	7–13	0.02	21%	7 Mar →
inferno	7–13	0.06	31%	6 Mar →
ancient	5–13	-0.03	15%	6 Mar →
mirage	13–6	0.07	11%	6 Mar →
dust2	13–10	-0.03	36%	4 Mar →
mirage	13–10	0.05	15%	26 Feb →
overpass	13–8	0.00	17%	21 Feb →
anubis	13–6	0.03	17%	21 Feb →
mirage	13–6	0.09	20%	21 Feb →
mirage	11–13	-0.02	13%	20 Feb →
dust2	16–13	0.12	26%	17 Feb →
anubis	13–11	0.06	22%	7 Feb →
dust2	10–13	-0.03	9%	4 Feb →
inferno	4–13	-0.03	29%	4 Feb →
anubis	14–16	0.01	28%	1 Feb →
dust2	8–13	0.01	21%	1 Feb →
mirage	13–8	0.04	18%	1 Feb →
ancient	10–13	0.08	21%	1 Feb →
overpass	13–10	0.11	15%	31 Jan →
nuke	5–13	-0.02	12%	31 Jan →
inferno	16–13	0.09	9%	30 Jan →
dust2	13–7	0.15	21%	25 Jan →
overpass	5–13	0.06	20%	25 Jan →
nuke	11–13	0.02	19%	24 Jan →
anubis	13–8	0.03	7%	24 Jan →
inferno	13–9	0.04	11%	24 Jan →
ancient	8–13	0.00	19%	24 Jan →
dust2	13–11	-0.02	18%	19 Jan →
train	15–15	0.01	6%	19 Jan →
dust2	16–14	-0.05	11%	19 Jan →
overpass	7–13	-0.07	22%	17 Jan →
inferno	13–11	0.06	23%	12 Jan →
dust2	11–13	0.05	17%	12 Jan →
ancient	13–4	0.10	17%	12 Jan →
train	13–8	0.05	20%	12 Jan →
dust2	2–13	-0.03	18%	12 Jan →
nuke	13–3	0.02	15%	9 Jan →
inferno	5–13	-0.10	8%	9 Jan →
office	6–13	0.05	18%	4 Jan →
office	10–13	0.08	29%	4 Jan →
overpass	6–13	0.12	21%	4 Jan →
nuke	14–16	-0.01	14%	4 Jan →
dust2	9–13	0.01	23%	4 Jan →
mirage	9–13	-0.03	17%	21 Dec →