BabyBacon62 — CS2 Stats

US76561199112792636[U:1:1152526908]Steam profile ↗✓ No bans

1,573Tracked matches30%Win rate2023Tracked since

1,696Hours in CS17Hrs last 2 wks

CSDB Rating5.2 DevelopingSupport

Ladder ranks via Leetify

Performance scores

Aim78

Positioning41

Utility72

0–100 skill scores via Leetify.

Recent form

COLD40–52–8Last 10040%Win rateLLWWLLWTLL

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim7.8

Aggression3.2

Utility7.2

Positioning4.1

Opening Duels0.4

Clutch2.4

Effective flashes

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 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

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

Aim7.8

Positioning4.1

Utility7.2

Mechanics7.5

Opening Duels0.9

Win Impact0.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time560ms−72ms

first ⅓ avg 632ms → last ⅓ avg 560ms

Headshot accuracy18.1%−1.7%

first ⅓ avg 19.8% → last ⅓ avg 18.1%

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

0.28Best rating — train 13–0

13–0Biggest win — train

5Longest win streak

L2Current streak

6–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 24% over 21

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	21	5–16	24%	0.02
inferno	C	18	7–11	39%	-0.00
cache	D	12	4–8	33%	0.02
mirage	D	8	2–6	25%	-0.01
anubis	C	7	3–4	43%	0.04
overpass	A	7	4–3	57%	0.02
train	A	7	4–3	57%	0.05
ancient	D	6	2–4	33%	0.04
nuke	S	6	4–2	67%	0.06
vertigo	A	5	3–2	60%	0.02
office	—	2	1–1	50%	0.03
warden	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,147Lifetime kills

1.41K/D · Top 10% of tracked players

2,524Matches

47.6%Match win rate · Top 50% of tracked players

45.7%Headshot %

0.9%Shot accuracy

7,235MVPs

880Hours (in match)

3,775Bombs planted

950Bombs defused

Most-used weapons

AK-4717,927

AWP9,991

M4A4 / M4A1-S8,544

P2000 / USP-S2,525

Desert Eagle2,353

Glock-181,818

Five-SeveN1,054

Tec-91,004

Galil AR971

MAC-10944

Lifetime map wins

3,808inferno

3,519nuke

2,489vertigo

2,373dust2

902train

133office

5lake

4ar_shoots

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

Faceit stats

Combat

77Matches

62%Win rate

1.27Avg K/D

83.9ADR

46%Headshot %

Clutches & streaks

32%1v1 clutch win

27%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	21	67%	1.14	16.2
Ancient	16	69%	1.69	16.8
Nuke	13	46%	1.17	20.3
Anubis	10	80%	1.18	15.6
Dust2	8	12%	0.85	13.1
Overpass	4	100%	1.68	18.0
Train	2	100%	1.42	20.0
Mirage	2	50%	1.28	18.5

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.

17.9%Headshot accuracy

34.3%Accuracy (enemy spotted)

37.6%Spray accuracy

83.8%Counter-strafing

8.8°Preaim

549msReaction time

25.8%T opening success

37.1%CT opening success

0.75Enemies flashed / flash

6.8%Flash assists

11.39HE damage / grenade

15.54Flashes / 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
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 25.8242% — below the 40% mark we flag

Spend your practice time on Dust 2

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

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	0.08	13%	26 Aug →
overpass	8–13	0.06	17%	26 Aug →
ancient	13–10	-0.04	3%	26 Aug →
inferno	13–4	0.06	17%	26 Aug →
dust2	5–13	0.11	19%	26 Aug →
cache	7–13	-0.04	15%	26 Aug →
nuke	13–4	0.03	22%	25 Aug →
cache	12–12	0.02	13%	24 Aug →
inferno	1–9	0.00	26%	24 Aug →
dust2	8–13	0.00	11%	24 Aug →
inferno	12–12	0.05	17%	20 Aug →
dust2	8–13	0.05	16%	20 Aug →
dust2	8–13	0.04	16%	20 Aug →
dust2	4–13	-0.02	17%	19 Aug →
vertigo	11–13	0.04	12%	19 Aug →
anubis	9–13	-0.02	17%	19 Aug →
overpass	13–9	0.03	32%	19 Aug →
dust2	13–4	-0.08	15%	17 Aug →
dust2	13–2	0.07	31%	17 Aug →
inferno	11–13	0.03	27%	17 Aug →
nuke	8–13	-0.01	22%	17 Aug →
mirage	4–13	-0.02	18%	17 Aug →
vertigo	13–10	0.04	22%	17 Aug →
office	5–13	-0.10	12%	17 Aug →
dust2	12–12	0.12	20%	17 Aug →
inferno	6–13	-0.06	11%	10 Aug →
dust2	11–13	-0.02	30%	10 Aug →
dust2	8–13	-0.01	13%	10 Aug →
vertigo	13–10	0.00	18%	10 Aug →
anubis	16–19	-0.07	21%	10 Aug →
anubis	13–5	0.13	21%	10 Aug →
anubis	16–13	0.06	19%	10 Aug →
train	13–7	0.05	16%	29 Jul →
nuke	13–6	0.06	18%	28 Jul →
mirage	13–11	0.03	26%	27 Jul →
inferno	12–12	-0.02	12%	27 Jul →
cache	6–13	0.02	15%	27 Jul →
train	13–2	0.01	26%	27 Jul →
dust2	8–13	0.02	35%	27 Jul →
cache	5–13	-0.06	16%	27 Jul →
ancient	13–11	0.00	16%	27 Jul →
overpass	13–11	-0.01	16%	27 Jul →
dust2	13–8	0.01	21%	27 Jul →
ancient	8–13	0.01	22%	20 Jul →
nuke	13–6	0.11	16%	20 Jul →
cache	13–7	0.10	29%	20 Jul →
inferno	5–13	-0.03	15%	20 Jul →
anubis	13–5	0.10	19%	20 Jul →
mirage	11–13	0.08	31%	20 Jul →
dust2	8–3	0.05	50%	20 Jul →
train	12–12	0.05	33%	20 Jul →
vertigo	6–13	-0.01	36%	19 Jul →
overpass	9–13	0.03	26%	19 Jul →
dust2	5–13	-0.01	29%	19 Jul →
nuke	12–12	0.07	21%	19 Jul →
dust2	12–12	0.02	29%	15 Jul →
ancient	12–12	0.07	13%	15 Jul →
cache	3–13	-0.01	16%	15 Jul →
inferno	13–11	-0.02	17%	15 Jul →
mirage	10–13	-0.03	20%	13 Jul →
mirage	0–13	-0.05	25%	13 Jul →
mirage	3–13	-0.06	19%	3 Jul →
inferno	5–9	-0.08	21%	3 Jul →
inferno	8–13	-0.05	20%	21 Jun →
vertigo	13–1	0.04	18%	21 Jun →
dust2	9–13	-0.02	22%	21 Jun →
train	8–13	-0.06	13%	18 Jun →
warden	13–8	0.02	17%	18 Jun →
inferno	4–13	-0.07	8%	18 Jun →
cache	13–11	-0.05	22%	18 Jun →
cache	13–7	0.03	14%	17 Jun →
dust2	8–13	-0.06	12%	17 Jun →
inferno	5–13	0.02	18%	16 Jun →
dust2	11–13	-0.01	18%	16 Jun →
cache	9–13	0.04	26%	16 Jun →
office	13–5	0.17	28%	15 Jun →
dust2	1–7	0.09	30%	15 Jun →
cache	13–3	0.05	18%	14 Jun →
train	4–7	0.00	31%	14 Jun →
dust2	9–13	0.05	15%	11 Jun →
inferno	7–13	0.01	20%	11 Jun →
inferno	13–5	0.01	42%	8 Jun →
dust2	13–10	0.06	24%	8 Jun →
mirage	8–2	-0.01	0%	8 Jun →
train	13–0	0.28	21%	8 Jun →
ancient	7–13	0.05	16%	8 Jun →
overpass	13–11	0.10	22%	6 Jun →
nuke	13–9	0.08	22%	6 Jun →
anubis	7–13	-0.02	4%	6 Jun →
inferno	13–6	0.00	14%	6 Jun →
train	13–4	0.04	24%	6 Jun →
overpass	13–1	0.05	27%	4 Jun →
inferno	13–8	0.06	12%	4 Jun →
ancient	11–13	0.17	17%	1 Jun →
cache	3–13	0.00	25%	1 Jun →
mirage	4–13	0.00	27%	1 Jun →
inferno	13–8	-0.01	22%	1 Jun →
cache	9–13	0.07	27%	1 Jun →
inferno	13–4	0.11	23%	25 May →
overpass	3–13	-0.11	8%	25 May →