schull:E — CS2 Stats

76561197970732727[U:1:10466999]

2,464Tracked matches57%Win rate2020Tracked since

1,663Hours in CS

CSDB Rating7.0 StrongHybrid Rifler

FaceitLevel 10 · 2,290 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=3,007), 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	52.3%	52.0%
Shot accuracy	8.0%	13.7%
Kill/death ratio	1.20	1.08
Match win rate	47.7%	48.8%

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Performance scores

Aim88

Positioning50

Utility79

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWWWLLWLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.8

Aggression6.2

Utility7.9

Positioning5.0

Opening Duels1.8

Clutch3.8

Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution

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 Twistzz 95% playstyle similarity

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

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim8.8

Positioning5.0

Utility7.9

Mechanics8.1

Opening Duels1.9

Win Impact7.2

Composite 7.0/10 (Strong), 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-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time558ms−72ms

first ⅓ avg 630ms → last ⅓ avg 558ms

Headshot accuracy17.8%+0.8%

first ⅓ avg 17.0% → last ⅓ avg 17.8%

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 — cache 13–2

13–0Biggest win — dust2

14Longest win streak

11–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 78% over 18mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	35	21–14	60%	0.00
ancient	A	22	12–10	55%	0.01
anubis	S	18	14–4	78%	0.00
inferno	A	11	7–4	64%	0.02
cache	D	6	2–4	33%	-0.00
mirage	D	5	1–4	20%	-0.03
nuke	—	2	0–2	0%	0.01
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Lifetime stats

86,377Lifetime kills

1.20K/D · Top 50% of Level 10 players

3,718Matches

47.7%Match win rate

52.3%Headshot % · Top 50% of Level 10 players

8.0%Shot accuracy

8,716MVPs

1,663Hours (in match)

2,283Bombs planted

1,144Bombs defused

Most-used weapons

AK-4734,358

M4A4 / M4A1-S18,472

AWP6,165

P2000 / USP-S4,113

Glock-182,914

P2502,372

Desert Eagle2,169

Galil AR2,065

SSG 081,646

Knife1,526

Lifetime map wins

7,668dust2

4,245inferno

2,513vertigo

1,755nuke

1,652train

144cbble

107safehouse

83lake

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

Faceit stats

Combat

1,658Matches

51%Win rate

1.08Avg K/D

85.3ADR

44%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	402	56%	1.08	16.6
Ancient	257	50%	1.09	16.7
Dust2	242	50%	1.08	16.4
Mirage	237	43%	1.02	15.7
Inferno	175	54%	1.07	16.1
Vertigo	106	47%	0.98	14.8
Train	93	61%	1.22	16.8
Nuke	47	38%	1.11	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.

17.7%Headshot accuracy

40.3%Accuracy (enemy spotted)

42.2%Spray accuracy

86.6%Counter-strafing

8.0°Preaim

567msReaction time

29.4%T opening success

45.1%CT opening success

0.76Enemies flashed / flash

4.1%Flash assists

9.24HE damage / grenade

20.35Flashes / 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 29.3946% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–16	-0.03	25%	25 Aug →
dust2	13–0	0.03	20%	25 Aug →
dust2	13–11	0.03	21%	21 Aug →
anubis	13–11	-0.04	11%	19 Aug →
vertigo	11–13	-0.03	7%	14 Aug →
ancient	14–16	0.02	15%	14 Aug →
ancient	13–2	0.04	17%	7 Aug →
anubis	7–13	-0.01	14%	5 Aug →
inferno	13–11	-0.01	15%	24 Jul →
dust2	13–10	-0.08	15%	24 Jul →
ancient	13–7	-0.00	13%	24 Jul →
anubis	13–11	-0.01	12%	24 Jul →
dust2	9–13	0.02	27%	24 Jul →
anubis	16–19	-0.03	15%	24 Jul →
anubis	13–7	0.08	23%	22 Jul →
dust2	13–10	0.01	9%	22 Jul →
cache	13–9	0.04	15%	22 Jul →
cache	17–19	-0.05	12%	20 Jul →
dust2	13–5	-0.02	15%	20 Jul →
dust2	11–13	-0.02	25%	20 Jul →
ancient	13–16	-0.01	16%	19 Jul →
inferno	10–13	-0.03	23%	19 Jul →
inferno	4–13	0.04	13%	17 Jul →
anubis	16–12	-0.03	24%	17 Jul →
dust2	2–13	-0.08	9%	17 Jul →
dust2	19–16	0.02	25%	15 Jul →
dust2	9–13	0.03	30%	13 Jul →
dust2	13–11	0.02	23%	13 Jul →
dust2	13–11	0.02	15%	13 Jul →
cache	13–2	0.10	27%	13 Jul →
ancient	11–13	-0.02	23%	10 Jul →
cache	3–13	-0.08	14%	6 Jul →
ancient	19–17	-0.01	20%	2 Jul →
dust2	13–8	0.06	13%	5 Jun →
ancient	10–13	-0.00	14%	5 Jun →
dust2	13–7	0.01	25%	5 Jun →
ancient	10–13	-0.03	13%	5 Jun →
dust2	13–9	0.03	20%	5 Jun →
ancient	13–11	-0.02	12%	3 Jun →
anubis	11–13	0.03	6%	29 May →
dust2	3–13	0.02	13%	18 May →
inferno	13–5	0.06	23%	18 May →
cache	2–13	-0.07	14%	4 May →
ancient	13–9	0.02	26%	4 May →
anubis	13–11	0.00	18%	3 May →
inferno	13–9	0.05	22%	3 May →
inferno	13–10	0.01	16%	29 Apr →
mirage	8–13	-0.04	12%	28 Apr →
ancient	13–8	0.03	9%	27 Apr →
dust2	13–7	0.01	18%	27 Apr →
dust2	10–13	0.01	9%	27 Apr →
anubis	13–11	0.01	14%	26 Apr →
dust2	13–8	0.04	18%	26 Apr →
anubis	13–6	0.02	14%	26 Apr →
anubis	13–11	-0.02	16%	26 Apr →
inferno	11–13	-0.02	19%	26 Apr →
inferno	13–8	0.01	23%	25 Apr →
ancient	3–13	-0.06	13%	25 Apr →
ancient	13–4	0.04	6%	23 Apr →
cache	6–13	0.05	12%	23 Apr →
dust2	9–13	0.01	23%	22 Apr →
dust2	8–13	-0.04	15%	20 Apr →
ancient	9–13	-0.03	13%	19 Apr →
mirage	16–19	-0.04	14%	19 Apr →
dust2	10–13	0.04	15%	19 Apr →
nuke	11–13	0.04	11%	17 Apr →
dust2	13–5	0.03	21%	17 Apr →
dust2	10–13	-0.03	16%	15 Apr →
ancient	13–9	-0.01	19%	15 Apr →
dust2	13–10	-0.03	13%	15 Apr →
anubis	9–13	-0.02	26%	13 Apr →
nuke	6–13	-0.02	18%	12 Apr →
anubis	13–3	0.10	16%	12 Apr →
dust2	13–5	0.01	16%	12 Apr →
ancient	16–13	-0.03	21%	10 Apr →
inferno	13–7	0.01	13%	10 Apr →
anubis	13–9	0.00	16%	7 Apr →
ancient	13–2	0.08	14%	7 Apr →
dust2	13–5	0.03	29%	7 Apr →
anubis	13–3	-0.02	24%	1 Apr →
ancient	13–10	0.02	19%	27 Mar →
anubis	13–8	0.02	28%	27 Mar →
dust2	13–7	-0.03	23%	27 Mar →
dust2	13–3	0.05	20%	27 Mar →
dust2	13–7	0.02	14%	27 Mar →
mirage	13–0	0.00	19%	27 Mar →
ancient	9–13	0.03	14%	25 Mar →
ancient	13–6	0.09	16%	17 Mar →
inferno	8–13	0.05	23%	16 Mar →
dust2	15–15	0.01	20%	16 Mar →
anubis	13–5	-0.01	5%	13 Mar →
mirage	14–16	-0.00	24%	9 Mar →
ancient	9–13	-0.02	11%	9 Mar →
mirage	3–13	-0.06	19%	15 Feb →
inferno	13–7	0.03	7%	15 Feb →
dust2	2–13	-0.09	12%	15 Feb →
dust2	6–13	-0.06	11%	13 Feb →
anubis	13–9	-0.04	10%	13 Feb →
dust2	13–8	-0.00	16%	9 Feb →
ancient	11–13	-0.01	10%	9 Feb →