bamos — CS2 Stats

76561198124098391[U:1:163832663]Steam profile ↗✓ No bans

628Tracked matches39%Win rate2022Tracked since

1,179Hours in CS7Hrs last 2 wks

CSDB Rating1.6 Learning

Ladder ranks via Leetify

Performance scores

Aim12

Positioning21

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateLLWWLLTWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim1.2

Aggression0.0

Utility3.5

Positioning2.1

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 57% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 28% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.2

Positioning2.1

Utility3.5

Mechanics1.3

Opening Duels0.0

Win Impact1.4

Composite 1.6/10 (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-0.05+0.00

first ⅓ avg -0.05 → last ⅓ avg -0.05

Reaction time629ms−49ms

first ⅓ avg 678ms → last ⅓ avg 629ms

Headshot accuracy13.0%−3.0%

first ⅓ avg 16.0% → last ⅓ avg 13.0%

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

0.08Best rating — boulder 13–3

13–0Biggest win — anubis

4Longest win streak

L2Current streak

6–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

vertigoBest map · 70% over 10cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	30	10–20	33%	-0.05
vertigo	S	10	7–3	70%	-0.04
office	A	10	6–4	60%	-0.04
nuke	C	10	4–6	40%	-0.06
cache	D	7	2–5	29%	-0.04
anubis	D	7	2–5	29%	-0.06
train	C	5	2–3	40%	-0.06
inferno	—	4	1–3	25%	-0.08
overpass	—	4	0–4	0%	-0.09
italy	—	3	3–0	100%	-0.02
boulder	—	2	2–0	100%	0.02
fachwerk	—	2	1–1	50%	-0.08
shelter	—	2	1–1	50%	-0.10
ancient	—	2	1–1	50%	-0.06
dust2	—	1	0–1	0%	-0.03
warden	—	1	1–0	100%	-0.08

Across the last 100 tracked matches.

Lifetime stats

21,368Lifetime kills

0.67K/D

1,865Matches

41.3%Match win rate

34.0%Headshot %

7.1%Shot accuracy

2,271MVPs

657Hours (in match)

1,349Bombs planted

175Bombs defused

Most-used weapons

AK-472,862

M4A4 / M4A1-S2,741

P902,233

AWP1,645

MAC-101,068

P2000 / USP-S843

XM1014793

Galil AR791

MP7788

UMP-45723

Lifetime map wins

3,042office

1,170dust2

887inferno

883nuke

827vertigo

358train

202italy

134cbble

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.

12.5%Headshot accuracy

23.7%Accuracy (enemy spotted)

26.9%Spray accuracy

55.9%Counter-strafing

13.4°Preaim

620msReaction time

9.1%T opening success

28.3%CT opening success

0.40Enemies flashed / flash

1.4%Flash assists

6.50HE damage / grenade

3.12Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.3642° — above the 12° mark we flag
Aim Training →
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 12.5228% — 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 0.3961 — below the 0.5 mark we flag
Grenade Lineups →

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–13	-0.06	13%	24 Aug →
cache	1–9	-0.06	10%	23 Aug →
boulder	13–10	-0.03	13%	21 Aug →
cache	13–9	0.01	15%	21 Aug →
fachwerk	9–13	-0.10	7%	21 Aug →
mirage	10–13	-0.08	13%	20 Aug →
vertigo	12–12	-0.06	17%	20 Aug →
office	13–8	-0.06	6%	18 Aug →
cache	9–13	-0.02	16%	15 Aug →
vertigo	13–8	-0.01	15%	15 Aug →
mirage	2–6	-0.01	0%	15 Aug →
office	11–13	-0.09	12%	9 Aug →
nuke	13–16	-0.07	20%	4 Aug →
mirage	2–13	-0.09	4%	29 Jul →
office	13–2	-0.09	17%	29 Jul →
vertigo	9–13	-0.07	6%	29 Jul →
mirage	2–13	-0.08	13%	22 Jul →
mirage	4–13	-0.09	10%	22 Jul →
nuke	13–8	-0.04	11%	22 Jul →
inferno	6–13	-0.13	4%	22 Jul →
mirage	13–5	0.02	18%	20 Jul →
mirage	1–13	-0.10	9%	14 Jul →
office	12–12	-0.08	15%	14 Jul →
shelter	0–11	-0.15	67%	14 Jul →
train	2–13	-0.11	11%	14 Jul →
fachwerk	13–5	-0.07	7%	9 Jul →
shelter	13–6	-0.05	8%	9 Jul →
boulder	13–3	0.08	17%	9 Jul →
office	13–8	-0.01	8%	5 Jul →
mirage	4–13	-0.07	4%	28 Jun →
train	12–12	-0.06	11%	23 Jun →
anubis	13–0	0.07	27%	12 Jun →
vertigo	13–6	0.02	8%	11 Jun →
mirage	8–13	-0.03	28%	10 Jun →
vertigo	13–8	-0.07	11%	8 Jun →
cache	12–12	-0.05	4%	8 Jun →
nuke	7–13	-0.04	15%	5 Jun →
anubis	4–13	-0.09	0%	1 Jun →
mirage	13–8	0.00	22%	1 Jun →
mirage	6–13	-0.09	17%	31 May →
mirage	13–11	0.00	9%	31 May →
cache	1–13	-0.09	17%	26 May →
mirage	12–12	-0.05	14%	24 May →
anubis	8–13	-0.08	25%	23 May →
nuke	11–13	-0.01	15%	22 May →
overpass	10–13	-0.10	11%	22 May →
cache	13–10	-0.01	16%	20 May →
mirage	13–5	-0.00	22%	20 May →
mirage	12–12	-0.04	16%	19 May →
mirage	13–2	0.07	20%	19 May →
vertigo	13–11	-0.05	11%	4 May →
mirage	5–13	-0.09	10%	4 May →
cache	5–13	-0.06	6%	4 May →
mirage	13–6	-0.06	8%	27 Apr →
ancient	9–13	-0.11	13%	26 Apr →
nuke	8–13	-0.06	17%	26 Apr →
nuke	13–9	-0.05	7%	23 Apr →
dust2	3–13	-0.03	11%	23 Apr →
italy	8–4	0.04	6%	23 Apr →
office	13–6	-0.07	15%	19 Apr →
italy	13–8	-0.02	10%	19 Apr →
vertigo	8–13	-0.06	26%	19 Apr →
vertigo	13–8	-0.05	12%	19 Apr →
mirage	3–13	-0.08	4%	19 Apr →
train	12–12	-0.03	23%	11 Apr →
mirage	9–13	-0.11	10%	11 Apr →
office	11–13	0.02	14%	8 Apr →
vertigo	13–7	0.00	25%	8 Apr →
mirage	3–13	-0.04	27%	8 Apr →
inferno	13–10	-0.06	14%	8 Apr →
anubis	4–13	-0.06	9%	5 Apr →
nuke	6–13	-0.06	32%	5 Apr →
anubis	7–13	-0.09	19%	30 Mar →
nuke	13–11	-0.05	16%	23 Mar →
anubis	3–13	-0.10	10%	22 Mar →
mirage	13–1	-0.01	30%	17 Mar →
mirage	13–3	0.04	15%	17 Mar →
inferno	11–13	-0.06	16%	13 Mar →
mirage	9–13	-0.04	20%	12 Mar →
mirage	12–12	-0.09	14%	11 Mar →
train	13–8	-0.04	11%	11 Mar →
italy	13–11	-0.07	20%	11 Mar →
mirage	8–13	-0.01	15%	10 Mar →
mirage	13–3	-0.04	24%	10 Mar →
nuke	6–9	-0.15	24%	8 Mar →
vertigo	13–7	-0.06	17%	8 Mar →
mirage	13–2	-0.04	11%	5 Mar →
office	10–13	-0.06	12%	5 Mar →
train	13–2	-0.04	28%	25 Feb →
office	13–6	-0.02	16%	25 Feb →
mirage	9–13	-0.10	17%	23 Feb →
warden	13–11	-0.08	18%	23 Feb →
office	13–5	0.02	11%	23 Feb →
anubis	13–9	-0.04	9%	22 Feb →
overpass	7–13	-0.06	8%	21 Feb →
overpass	1–13	-0.07	6%	21 Feb →
mirage	6–13	-0.11	7%	21 Feb →
ancient	13–11	-0.02	11%	18 Feb →
overpass	6–13	-0.14	14%	18 Feb →
nuke	13–3	-0.04	5%	18 Feb →