BIgBoySnipin — CS2 Stats

US76561198422705144[U:1:462439416]Steam profile ↗

161Tracked matches59%Win rate2023Tracked since

CSDB Rating5.2 Developing

Ladder ranks via Leetify

Performance scores

Aim54

Positioning56

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY44–43–13Last 10044%Win rateWWWTTWLWWL

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

Player DNA

Aim5.4

Aggression6.7

Utility2.1

Positioning5.6

Opening Duels3.6

Clutch4.8

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 ropz 83% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 599ms 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

Aim5.4

Positioning5.6

Utility2.1

Mechanics6.4

Opening Duels3.6

Win Impact8.1

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 rating0.01+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.01

Reaction time604ms+6ms

first ⅓ avg 598ms → last ⅓ avg 604ms

Headshot accuracy14.6%+2.2%

first ⅓ avg 12.4% → last ⅓ avg 14.6%

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

0.14Best rating — cache 7–1

13–1Biggest win — inferno

5Longest win streak

W3Current streak

8–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 67% over 12cacheWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	35	13–22	37%	-0.01
cache	D	16	4–12	25%	-0.01
ancient	A	13	8–5	62%	0.00
nuke	S	12	8–4	67%	0.02
mirage	D	11	3–8	27%	-0.02
inferno	A	8	5–3	63%	0.01
anubis	—	3	2–1	67%	0.02
overpass	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

11Matches

55%Win rate

0.92Avg K/D

71.6ADR

34%Headshot %

Clutches & streaks

44%1v1 clutch win

40%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	0%	0.76	12.3
Ancient	2	50%	0.94	18.0
Anubis	2	100%	0.84	9.5
Dust2	1	100%	1.45	16.0
Inferno	1	0%	0.26	5.0
Nuke	1	100%	0.92	22.0
Cache	1	100%	1.70	17.0

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.

13.8%Headshot accuracy

32.3%Accuracy (enemy spotted)

30.1%Spray accuracy

78.9%Counter-strafing

9.5°Preaim

599msReaction time

38.2%T opening success

50.3%CT opening success

0.32Enemies flashed / flash

2.2%Flash assists

9.94HE damage / grenade

1.82Flashes / 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 13.8003% — 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 0.3232 — 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 38.2492% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	-0.04	18%	26 Aug →
dust2	13–5	0.04	27%	26 Aug →
ancient	13–11	-0.05	8%	23 Aug →
inferno	12–12	0.02	15%	23 Aug →
dust2	12–12	0.04	15%	22 Aug →
ancient	13–4	0.10	14%	22 Aug →
mirage	8–13	-0.01	4%	16 Aug →
dust2	13–7	0.08	20%	16 Aug →
dust2	13–11	0.09	20%	15 Aug →
cache	3–13	-0.04	15%	15 Aug →
dust2	6–13	0.03	12%	2 Aug →
inferno	13–10	0.04	16%	2 Aug →
dust2	13–5	-0.06	25%	24 Jul →
cache	13–8	0.00	13%	22 Jul →
mirage	9–13	0.03	17%	22 Jul →
ancient	16–12	0.04	4%	21 Jul →
mirage	8–13	-0.02	7%	20 Jul →
inferno	13–1	0.01	13%	19 Jul →
nuke	13–11	0.08	23%	19 Jul →
ancient	9–13	-0.06	30%	12 Jul →
cache	1–8	-0.05	21%	12 Jul →
dust2	11–13	0.05	10%	11 Jul →
cache	7–13	-0.05	5%	11 Jul →
dust2	5–13	-0.10	5%	11 Jul →
anubis	10–12	-0.03	24%	30 Jun →
inferno	13–11	0.02	11%	30 Jun →
dust2	13–7	0.01	3%	30 Jun →
anubis	13–10	0.06	17%	25 Jun →
nuke	13–11	-0.01	12%	25 Jun →
dust2	12–12	-0.03	5%	24 Jun →
mirage	6–13	-0.04	14%	24 Jun →
dust2	13–7	0.05	18%	23 Jun →
cache	12–12	-0.00	23%	22 Jun →
inferno	13–4	0.08	10%	21 Jun →
ancient	13–9	0.08	17%	21 Jun →
dust2	12–12	-0.03	8%	21 Jun →
ancient	7–13	-0.01	9%	21 Jun →
mirage	8–13	0.01	13%	21 Jun →
cache	8–13	-0.03	5%	20 Jun →
dust2	13–7	-0.04	26%	20 Jun →
inferno	13–7	-0.01	23%	20 Jun →
ancient	5–3	-0.05	36%	20 Jun →
cache	7–13	-0.03	6%	17 Jun →
dust2	11–13	-0.04	11%	17 Jun →
dust2	12–16	0.00	17%	14 Jun →
mirage	13–8	-0.06	16%	14 Jun →
cache	7–13	-0.03	16%	14 Jun →
overpass	2–13	-0.04	18%	14 Jun →
nuke	3–13	0.03	23%	13 Jun →
nuke	13–9	0.07	9%	13 Jun →
ancient	13–8	-0.04	13%	13 Jun →
anubis	13–9	0.02	10%	12 Jun →
dust2	15–15	-0.07	24%	12 Jun →
dust2	13–9	0.10	14%	11 Jun →
ancient	11–13	-0.02	9%	11 Jun →
ancient	12–12	-0.04	8%	10 Jun →
nuke	8–13	0.03	16%	7 Jun →
nuke	13–1	0.02	25%	7 Jun →
overpass	13–10	-0.03	13%	7 Jun →
ancient	13–4	0.01	10%	7 Jun →
cache	11–13	0.10	13%	6 Jun →
inferno	9–13	0.03	17%	6 Jun →
cache	13–6	0.01	14%	6 Jun →
dust2	12–12	-0.05	20%	6 Jun →
ancient	13–3	0.05	4%	5 Jun →
inferno	2–13	-0.09	4%	5 Jun →
nuke	12–12	0.02	15%	4 Jun →
dust2	0–5	-0.05	0%	3 Jun →
cache	13–11	0.01	6%	3 Jun →
mirage	7–13	-0.02	12%	3 Jun →
nuke	13–6	-0.07	24%	3 Jun →
cache	1–13	-0.02	12%	2 Jun →
dust2	8–13	-0.02	8%	1 Jun →
mirage	7–13	-0.09	8%	31 May →
cache	9–13	-0.02	16%	31 May →
dust2	7–13	0.01	6%	31 May →
cache	4–13	-0.10	23%	31 May →
ancient	12–12	0.02	11%	31 May →
dust2	6–13	-0.02	13%	31 May →
dust2	12–12	-0.02	19%	30 May →
cache	7–1	0.14	18%	30 May →
dust2	6–13	-0.04	25%	30 May →
dust2	13–8	-0.04	0%	29 May →
dust2	7–13	-0.02	11%	28 May →
nuke	13–8	0.07	6%	28 May →
dust2	4–13	-0.07	18%	26 May →
nuke	13–10	-0.01	10%	26 May →
mirage	13–7	-0.04	14%	25 May →
dust2	2–13	-0.05	22%	24 May →
dust2	7–13	-0.04	14%	24 May →
dust2	13–11	-0.03	12%	24 May →
nuke	13–9	0.01	10%	24 May →
mirage	13–6	0.01	11%	24 May →
dust2	13–8	-0.01	18%	24 May →
dust2	13–9	-0.02	18%	24 May →
cache	12–12	-0.04	0%	23 May →
nuke	6–13	0.01	13%	22 May →
dust2	2–13	-0.02	10%	22 May →
dust2	10–13	0.00	13%	21 May →
mirage	12–12	-0.02	9%	21 May →