scrimmy bingus — CS2 Stats

76561199040958631[U:1:1080692903]Steam profile ↗

713Tracked matches45%Win rate2024Tracked since

637Hours in CS11Hrs last 2 wks

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim39

Positioning36

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY39–56–5Last 10039%Win rateLWLLWWLLWL

Last 10 vs previous 10: -10pp win rate · -0.05 avg rating

Player DNA

Aim3.9

Aggression1.6

Utility4.7

Positioning3.6

Opening Duels0.0

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 NiKo 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 642ms 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

Aim3.9

Positioning3.6

Utility4.7

Mechanics3.2

Opening Duels0.0

Win Impact3.3

Composite 3.4/10 (Learning), 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-0.04+0.01

first ⅓ avg -0.05 → last ⅓ avg -0.04

Reaction time660ms+17ms

first ⅓ avg 643ms → last ⅓ avg 660ms

Headshot accuracy9.5%−1.8%

first ⅓ avg 11.3% → last ⅓ avg 9.5%

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 8–13

13–1Biggest win — fachwerk

5Longest win streak

6–5In matches decided by ≤2 rounds

Map breakdown

trainBest map · 80% over 5anubisWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
anubis	D	13	2–11	15%	-0.01
cache	C	11	4–7	36%	-0.01
nuke	D	9	3–6	33%	-0.06
office	D	9	3–6	33%	-0.07
vertigo	C	8	3–5	38%	-0.03
dust2	D	6	2–4	33%	-0.08
mirage	D	6	2–4	33%	-0.03
boulder	B	6	3–3	50%	-0.07
train	S	5	4–1	80%	-0.03
fachwerk	C	5	2–3	40%	-0.02
italy	A	5	3–2	60%	-0.03
inferno	—	4	2–2	50%	-0.07
overpass	—	3	1–2	33%	-0.02
ancient	—	3	1–2	33%	-0.03
alpine	—	3	2–1	67%	-0.03
shelter	—	2	1–1	50%	-0.03
stronghold	—	1	0–1	0%	-0.09
warden	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,552Lifetime kills

0.56K/D

800Matches

39.1%Match win rate

37.2%Headshot %

0.0%Shot accuracy

580MVPs

290Hours (in match)

961Bombs planted

55Bombs defused

Most-used weapons

M4A4 / M4A1-S1,427

Galil AR1,287

Desert Eagle532

MP9510

AK-47432

MAC-10403

Glock-18379

P2000 / USP-S371

SG 553182

AWP159

Lifetime map wins

891office

802nuke

471vertigo

426italy

395train

378inferno

281dust2

13lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.3%Headshot accuracy

33.4%Accuracy (enemy spotted)

38.9%Spray accuracy

64.2%Counter-strafing

10.2°Preaim

642msReaction time

26.3%T opening success

29.2%CT opening success

0.48Enemies flashed / flash

3.7%Flash assists

7.11HE damage / grenade

9.74Flashes / 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 9.2753% — 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 0.4786 — 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 26.3025% — below the 40% mark we flag

Spend your practice time on Anubis

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	6–13	-0.12	19%	29 Aug →
train	5–0	-0.03	0%	29 Aug →
dust2	4–13	-0.12	17%	29 Aug →
vertigo	3–13	-0.10	3%	27 Aug →
inferno	13–7	-0.05	6%	27 Aug →
inferno	13–2	-0.07	3%	27 Aug →
shelter	4–13	-0.06	4%	27 Aug →
cache	3–13	0.00	0%	17 Aug →
train	13–8	-0.01	12%	17 Aug →
dust2	3–13	-0.09	9%	17 Aug →
nuke	13–8	0.02	15%	17 Aug →
overpass	13–7	-0.03	9%	16 Aug →
ancient	13–8	-0.01	9%	16 Aug →
anubis	1–13	-0.02	16%	16 Aug →
vertigo	13–8	0.08	8%	16 Aug →
mirage	8–13	0.00	6%	16 Aug →
mirage	3–8	-0.01	8%	16 Aug →
office	13–11	-0.11	3%	16 Aug →
ancient	8–13	0.01	14%	16 Aug →
boulder	12–12	-0.09	2%	15 Aug →
mirage	13–6	-0.06	8%	15 Aug →
inferno	9–13	-0.11	13%	15 Aug →
train	13–9	-0.05	6%	12 Aug →
nuke	8–13	-0.07	16%	11 Aug →
fachwerk	6–13	0.00	16%	11 Aug →
boulder	13–10	-0.05	5%	11 Aug →
anubis	13–11	0.00	7%	8 Aug →
nuke	9–13	-0.05	11%	8 Aug →
dust2	5–13	-0.06	13%	6 Aug →
ancient	0–13	-0.10	15%	6 Aug →
cache	2–13	-0.05	13%	6 Aug →
cache	6–13	0.02	15%	5 Aug →
boulder	10–13	-0.03	12%	5 Aug →
cache	3–13	-0.06	24%	5 Aug →
italy	12–12	-0.04	10%	4 Aug →
mirage	3–13	-0.03	8%	4 Aug →
cache	13–11	-0.02	16%	4 Aug →
office	12–12	0.04	9%	2 Aug →
anubis	1–13	-0.08	8%	1 Aug →
vertigo	5–13	0.03	9%	1 Aug →
italy	13–6	-0.03	12%	1 Aug →
cache	8–13	0.10	14%	31 Jul →
nuke	1–13	-0.05	20%	31 Jul →
vertigo	6–13	0.01	6%	31 Jul →
fachwerk	13–3	-0.05	10%	29 Jul →
boulder	13–5	-0.07	9%	29 Jul →
anubis	8–13	-0.01	12%	25 Jul →
anubis	11–13	0.03	14%	25 Jul →
vertigo	13–11	-0.02	9%	15 Jul →
anubis	5–13	0.02	16%	13 Jul →
fachwerk	13–1	-0.00	4%	13 Jul →
anubis	11–13	0.03	16%	12 Jul →
shelter	13–8	-0.01	12%	12 Jul →
nuke	1–13	-0.07	0%	12 Jul →
boulder	13–9	-0.10	7%	11 Jul →
boulder	1–13	-0.10	6%	10 Jul →
fachwerk	9–13	-0.01	15%	10 Jul →
fachwerk	11–13	-0.03	7%	9 Jul →
italy	13–10	-0.03	12%	2 Jul →
anubis	7–13	-0.03	9%	1 Jul →
alpine	13–5	-0.01	20%	1 Jul →
office	11–13	-0.03	2%	30 Jun →
train	13–5	0.08	1%	30 Jun →
dust2	5–13	-0.12	13%	30 Jun →
nuke	10–13	-0.08	4%	13 Jun →
alpine	10–13	-0.07	17%	6 Jun →
cache	8–13	-0.05	5%	6 Jun →
nuke	12–12	-0.08	13%	6 Jun →
office	9–13	-0.07	4%	6 Jun →
office	2–0	-0.05	0%	6 Jun →
stronghold	9–13	-0.09	6%	5 Jun →
anubis	13–2	-0.00	23%	25 May →
warden	13–11	-0.06	2%	20 May →
alpine	13–8	-0.01	10%	17 May →
italy	12–12	-0.05	15%	17 May →
dust2	8–3	-0.02	22%	17 May →
cache	13–4	-0.03	8%	17 May →
cache	13–10	-0.01	12%	17 May →
cache	13–9	-0.05	12%	13 May →
nuke	13–10	-0.10	0%	13 May →
mirage	4–13	-0.09	7%	13 May →
office	13–8	-0.05	6%	9 May →
italy	13–8	-0.03	6%	9 May →
office	5–13	-0.08	11%	2 May →
cache	5–13	0.00	5%	1 May →
overpass	0–13	-0.03	16%	15 Apr →
dust2	13–3	-0.05	15%	12 Apr →
anubis	7–13	0.04	13%	11 Apr →
anubis	8–13	-0.06	11%	11 Apr →
inferno	10–13	-0.06	9%	29 Mar →
vertigo	12–5	-0.03	14%	29 Mar →
mirage	13–6	-0.02	11%	26 Mar →
vertigo	6–13	-0.07	15%	25 Mar →
office	7–13	-0.13	5%	17 Mar →
overpass	11–13	-0.01	15%	17 Mar →
nuke	13–10	-0.05	5%	17 Mar →
anubis	4–13	-0.04	18%	12 Mar →
vertigo	4–13	-0.11	0%	11 Mar →
office	8–13	-0.13	50%	11 Mar →
anubis	5–13	-0.06	14%	11 Mar →