Sizzle_ — CS2 Stats

76561197975034237[U:1:14768509]

1,422Tracked matches24%Win rate2020Tracked since

7,761Hours in CS10Hrs last 2 wks

CSDB Rating5.2 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim68

Positioning53

Utility49

0–100 skill scores via Leetify.

Recent form

COLD40–58–2Last 10040%Win rateLWLLLLLLWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.8

Aggression7.1

Utility4.9

Positioning5.3

Opening Duels2.6

Clutch2.8

Strong CT-side opener

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 ropz 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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 55% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim6.8

Positioning5.3

Utility4.9

Mechanics6.9

Opening Duels3.1

Win Impact0.0

Composite 5.2/10 (Developing), 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-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time587ms−66ms

first ⅓ avg 653ms → last ⅓ avg 587ms

Headshot accuracy16.8%−3.8%

first ⅓ avg 20.6% → last ⅓ avg 16.8%

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

0.11Best rating — dust2 13–2

13–2Biggest win — inferno

7Longest win streak

6–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

dust2Best map · 52% over 25nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	-0.00
inferno	C	21	9–12	43%	-0.02
mirage	C	18	7–11	39%	-0.02
ancient	C	17	7–10	41%	-0.01
overpass	C	8	3–5	38%	0.01
nuke	D	5	1–4	20%	0.01
anubis	—	4	0–4	0%	-0.02
cache	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

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

Lifetime stats

271,787Lifetime kills

0.93K/D

5,357Matches

47.3%Match win rate · Top 50% of tracked players

45.7%Headshot %

21.9%Shot accuracy · Top 1% of tracked players

12,806MVPs

11,078Hours (in match)

8,398Bombs planted

2,643Bombs defused

Most-used weapons

AK-47119,312

M4A4 / M4A1-S52,972

AWP21,922

P2000 / USP-S14,807

Desert Eagle11,498

Glock-187,409

SG 5535,167

Knife4,666

AUG4,246

Five-SeveN3,866

Lifetime map wins

22,984inferno

17,017dust2

10,947nuke

7,217train

5,408cbble

4,578vertigo

103office

27dust

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

Faceit stats

Combat

1,478Matches

51%Win rate

1.16Avg K/D

74.6ADR

40%Headshot %

Clutches & streaks

34%1v1 clutch win

9%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	25	56%	1.00	16.0
Ancient	25	48%	0.88	14.8
Inferno	17	41%	0.99	13.7
Mirage	15	33%	0.82	14.7
Vertigo	9	44%	1.25	16.4
Anubis	8	62%	0.84	13.1
Nuke	5	40%	1.04	17.6
Train	4	50%	0.67	11.3

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.

16.8%Headshot accuracy

34.3%Accuracy (enemy spotted)

33.6%Spray accuracy

81.3%Counter-strafing

9.4°Preaim

581msReaction time

26.3%T opening success

54.9%CT opening success

0.50Enemies flashed / flash

9.1%Flash assists

13.09HE damage / grenade

7.14Flashes / 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 0.4965 — 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 26.314% — 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.

20% win rate across 5 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
dust2	11–13	-0.05	36%	27 Aug →
dust2	13–9	0.07	13%	26 Aug →
dust2	8–13	-0.01	13%	25 Aug →
dust2	9–13	-0.01	16%	24 Aug →
inferno	8–13	-0.09	18%	24 Aug →
cache	7–13	-0.01	11%	20 Aug →
cache	10–13	-0.06	23%	18 Aug →
dust2	12–13	-0.07	24%	11 Aug →
dust2	13–10	0.02	21%	4 Aug →
inferno	8–13	-0.01	23%	23 Jul →
ancient	9–13	-0.00	19%	21 Jul →
inferno	13–10	-0.02	9%	16 Jul →
inferno	5–13	-0.05	24%	4 Jul →
mirage	13–7	0.01	15%	3 Jul →
dust2	13–7	-0.01	18%	3 Jul →
inferno	10–13	-0.03	13%	3 Jul →
ancient	13–7	-0.05	19%	2 Jul →
mirage	10–13	-0.04	27%	27 Jun →
anubis	9–13	-0.01	8%	31 May →
mirage	15–15	0.04	20%	30 May →
nuke	11–13	0.03	8%	30 May →
inferno	13–8	0.00	20%	29 May →
dust2	7–13	-0.02	24%	29 May →
mirage	10–13	-0.02	11%	28 May →
anubis	5–13	-0.03	9%	27 May →
dust2	14–16	-0.04	9%	23 May →
overpass	4–13	-0.05	22%	21 May →
ancient	17–19	-0.04	5%	16 May →
inferno	11–13	-0.06	23%	15 May →
mirage	4–13	0.02	12%	8 May →
dust2	9–13	-0.05	10%	8 May →
ancient	13–10	-0.02	17%	7 May →
inferno	8–13	0.02	15%	6 May →
ancient	10–13	0.04	13%	4 Mar →
dust2	13–5	-0.04	15%	4 Mar →
mirage	10–13	-0.05	20%	28 Feb →
anubis	4–13	-0.01	22%	28 Feb →
inferno	13–2	0.01	11%	27 Feb →
dust2	13–11	0.00	17%	26 Feb →
mirage	13–8	-0.02	26%	26 Feb →
ancient	15–15	-0.08	32%	26 Feb →
mirage	13–6	-0.01	13%	25 Feb →
inferno	13–10	-0.00	18%	18 Jan →
nuke	13–9	0.01	20%	16 Jan →
ancient	13–9	0.00	4%	16 Jan →
inferno	13–6	-0.01	31%	16 Jan →
dust2	13–11	-0.02	27%	16 Jan →
dust2	9–13	0.06	19%	19 Dec →
ancient	6–13	-0.04	13%	19 Dec →
inferno	9–13	-0.01	13%	19 Dec →
mirage	10–13	-0.02	24%	18 Dec →
ancient	4–13	-0.01	24%	17 Dec →
dust2	10–13	-0.01	22%	17 Dec →
inferno	13–10	0.00	18%	16 Dec →
overpass	12–16	-0.03	17%	15 Dec →
mirage	3–13	-0.06	29%	12 Dec →
inferno	2–13	-0.04	23%	12 Dec →
mirage	5–13	-0.05	33%	12 Dec →
mirage	11–13	0.01	10%	9 Dec →
overpass	5–13	-0.03	29%	9 Dec →
inferno	9–13	0.00	22%	28 Nov →
ancient	6–13	0.02	19%	28 Nov →
mirage	13–11	-0.05	15%	28 Nov →
dust2	13–7	-0.01	15%	27 Nov →
ancient	10–13	-0.02	18%	15 Nov →
mirage	16–14	0.02	14%	15 Nov →
dust2	16–12	-0.01	16%	15 Nov →
dust2	16–12	0.02	18%	11 Nov →
overpass	13–8	0.03	19%	11 Nov →
inferno	13–5	0.06	26%	11 Nov →
mirage	13–6	-0.03	22%	11 Nov →
ancient	13–7	0.06	25%	11 Nov →
dust2	6–13	0.01	21%	11 Nov →
nuke	7–13	0.01	33%	11 Nov →
dust2	7–13	-0.04	17%	11 Nov →
ancient	16–14	0.07	17%	11 Nov →
overpass	13–10	0.06	24%	11 Nov →
dust2	13–2	0.11	16%	11 Nov →
nuke	10–13	0.00	18%	11 Nov →
mirage	13–5	-0.01	13%	11 Nov →
overpass	8–13	-0.00	19%	9 Nov →
dust2	13–7	0.02	30%	9 Nov →
dust2	13–9	0.07	29%	9 Nov →
ancient	2–13	-0.04	15%	9 Nov →
inferno	8–13	-0.06	11%	9 Nov →
inferno	16–12	-0.01	27%	8 Nov →
mirage	9–13	-0.04	25%	8 Nov →
dust2	13–4	0.02	17%	7 Nov →
inferno	13–11	-0.01	12%	6 Nov →
ancient	11–13	-0.02	17%	6 Nov →
overpass	13–8	0.09	25%	5 Nov →
ancient	13–9	-0.00	13%	5 Nov →
inferno	14–16	0.06	23%	5 Nov →
overpass	9–13	0.01	15%	4 Nov →
nuke	14–16	-0.01	16%	30 Mar →
inferno	1–13	-0.09	19%	19 Mar →
dust2	7–13	0.01	42%	19 Mar →
anubis	4–13	-0.04	13%	18 Mar →
ancient	13–9	-0.03	19%	18 Mar →
mirage	10–13	-0.04	22%	16 Mar →