BAMMY — CS2 Stats

US76561198118582932[U:1:158317204]Steam profile ↗✓ No bans

2,042Tracked matches54%Win rate2021Tracked since

CSDB Rating4.2 DevelopingClutch Specialist

Premier CS Rating7,919Light Blue band · top ~64.8% of ranked players (population est.)

CSDB Leaderboard#41901 of 56419 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSilver III

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim49

Positioning53

Utility8

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateTLWTTLWWWW

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.9

Aggression7.4

Utility0.8

Positioning5.3

Opening Duels4.2

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 79% playstyle similarity

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

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. 693ms 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

Aim4.9

Positioning5.3

Utility0.8

Mechanics6.3

Opening Duels4.2

Win Impact6.3

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time698ms−2ms

first ⅓ avg 701ms → last ⅓ avg 698ms

Headshot accuracy16.6%−1.6%

first ⅓ avg 18.2% → last ⅓ avg 16.6%

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

0.10Best rating — nuke 6–13

13–1Biggest win — mirage

5Longest win streak

7–7In matches decided by ≤2 rounds

Map breakdown

trainBest map · 63% over 8ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	34	18–16	53%	0.01
dust2	D	10	3–7	30%	-0.03
cache	D	9	3–6	33%	-0.02
train	A	8	5–3	63%	-0.00
vertigo	D	7	2–5	29%	-0.02
ancient	D	7	1–6	14%	-0.01
mirage	B	6	3–3	50%	-0.02
office	B	6	3–3	50%	-0.03
inferno	—	4	3–1	75%	-0.05
shelter	—	3	2–1	67%	0.01
anubis	—	2	0–2	0%	-0.02
overpass	—	2	2–0	100%	-0.01
italy	—	1	1–0	100%	0.05
boulder	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches

45%Win rate

0.75Avg K/D

72.0ADR

47%Headshot %

Clutches & streaks

100%1v1 clutch win

12%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	71%	0.88	13.9
Mirage	2	0%	0.32	5.0
Inferno	1	0%	0.74	14.0
Anubis	1	0%	0.69	24.0

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.

16.4%Headshot accuracy

36.2%Accuracy (enemy spotted)

36.5%Spray accuracy

78.4%Counter-strafing

12.7°Preaim

693msReaction time

45.7%T opening success

47.9%CT opening success

0.04Enemies flashed / flash

0.0%Flash assists

7.75HE damage / grenade

0.34Flashes / 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 12.7249° — above the 12° 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 0.038 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	12–12	-0.06	10%	31 Aug →
ancient	11–13	-0.01	15%	30 Aug →
ancient	13–5	-0.03	19%	30 Aug →
nuke	12–12	0.03	17%	30 Aug →
nuke	12–12	0.00	14%	30 Aug →
dust2	4–13	-0.03	23%	30 Aug →
nuke	13–9	0.05	16%	29 Aug →
nuke	13–6	0.05	15%	27 Aug →
nuke	13–4	-0.02	21%	25 Aug →
nuke	13–10	0.05	20%	24 Aug →
cache	13–7	-0.01	13%	23 Aug →
nuke	9–13	-0.04	15%	23 Aug →
nuke	6–13	0.10	20%	22 Aug →
inferno	13–10	-0.02	21%	22 Aug →
mirage	11–13	-0.13	11%	22 Aug →
nuke	10–13	0.00	18%	22 Aug →
nuke	13–9	0.08	21%	20 Aug →
nuke	13–9	0.03	19%	20 Aug →
nuke	12–12	0.00	14%	20 Aug →
ancient	5–13	-0.06	20%	17 Aug →
anubis	9–13	0.01	14%	17 Aug →
office	13–10	-0.01	19%	17 Aug →
nuke	13–7	0.06	13%	16 Aug →
nuke	7–13	0.01	13%	16 Aug →
nuke	3–13	-0.09	21%	16 Aug →
nuke	13–11	0.05	24%	16 Aug →
ancient	6–13	0.04	21%	16 Aug →
dust2	13–11	0.01	14%	15 Aug →
train	7–3	-0.11	0%	13 Aug →
nuke	11–13	0.01	11%	13 Aug →
train	13–9	0.00	11%	12 Aug →
vertigo	7–13	0.01	21%	10 Aug →
nuke	2–13	-0.07	27%	10 Aug →
train	8–13	0.01	16%	10 Aug →
dust2	12–12	-0.04	7%	10 Aug →
nuke	4–13	0.00	21%	10 Aug →
nuke	13–10	-0.04	5%	9 Aug →
vertigo	13–10	-0.03	3%	9 Aug →
ancient	8–13	0.01	15%	9 Aug →
shelter	10–13	0.01	14%	9 Aug →
vertigo	11–13	0.02	12%	8 Aug →
italy	13–7	0.05	33%	8 Aug →
nuke	13–10	0.03	23%	8 Aug →
inferno	13–4	-0.02	27%	7 Aug →
train	13–10	0.00	17%	7 Aug →
office	2–13	-0.05	10%	7 Aug →
vertigo	9–13	-0.06	10%	5 Aug →
office	13–11	-0.02	20%	5 Aug →
nuke	9–4	-0.07	24%	5 Aug →
cache	8–13	-0.07	15%	5 Aug →
nuke	9–13	-0.03	18%	4 Aug →
nuke	12–12	0.01	11%	4 Aug →
vertigo	13–9	0.05	21%	3 Aug →
overpass	13–8	-0.02	24%	2 Aug →
anubis	8–13	-0.05	11%	2 Aug →
inferno	13–11	-0.08	17%	1 Aug →
ancient	3–13	-0.06	11%	1 Aug →
nuke	13–8	0.04	8%	30 Jul →
cache	13–6	-0.02	15%	29 Jul →
office	12–12	-0.03	20%	27 Jul →
cache	13–7	-0.03	16%	27 Jul →
nuke	13–10	-0.01	15%	27 Jul →
train	10–13	-0.01	16%	27 Jul →
nuke	12–12	-0.09	27%	26 Jul →
nuke	13–7	-0.04	11%	26 Jul →
office	8–13	-0.04	30%	25 Jul →
train	13–9	0.03	20%	25 Jul →
nuke	7–13	0.09	18%	23 Jul →
dust2	10–13	0.04	17%	23 Jul →
cache	8–13	0.01	27%	20 Jul →
boulder	3–13	0.00	19%	20 Jul →
nuke	13–7	-0.01	16%	20 Jul →
overpass	13–11	-0.00	16%	20 Jul →
train	13–9	0.02	22%	20 Jul →
cache	12–12	0.01	10%	20 Jul →
dust2	13–8	-0.02	15%	20 Jul →
mirage	13–9	0.05	11%	20 Jul →
dust2	5–13	0.01	19%	20 Jul →
nuke	13–8	-0.00	20%	19 Jul →
nuke	13–9	0.07	15%	19 Jul →
mirage	6–13	-0.00	6%	19 Jul →
mirage	13–1	0.04	13%	19 Jul →
train	4–13	0.02	17%	19 Jul →
office	13–5	-0.05	21%	19 Jul →
cache	0–9	-0.08	0%	19 Jul →
ancient	11–13	0.02	10%	19 Jul →
dust2	1–13	-0.07	50%	19 Jul →
mirage	13–1	-0.01	3%	19 Jul →
nuke	13–11	0.04	16%	19 Jul →
mirage	3–13	-0.04	32%	19 Jul →
cache	11–13	0.05	23%	18 Jul →
inferno	4–13	-0.08	19%	18 Jul →
dust2	13–5	-0.00	25%	18 Jul →
dust2	10–13	-0.07	25%	18 Jul →
shelter	13–11	-0.00	20%	18 Jul →
shelter	11–2	0.02	12%	18 Jul →
vertigo	11–13	-0.04	29%	17 Jul →
cache	7–13	-0.01	21%	17 Jul →
nuke	12–12	0.07	20%	17 Jul →
dust2	9–13	-0.08	14%	16 Jul →