Ballrr4life — CS2 Stats

76561199109446961[U:1:1149181233]

1,427Tracked matches48%Win rate2024Tracked since

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating13,839Blue band · top ~34.5% of ranked players (population est.)

CSDB Leaderboard#28750 of 44614 tracked

FaceitLevel 5 · 1,311 ELOTop 67.6% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning56

Utility57

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateWLTLWWLLLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.0

Aggression8.5

Utility5.7

Positioning5.6

Opening Duels3.7

Clutch4.6

Strong CT-side opener

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 b1t 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0

Positioning5.6

Utility5.7

Mechanics7.6

Opening Duels3.8

Win Impact4.4

Composite 6.0/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time560ms−61ms

first ⅓ avg 621ms → last ⅓ avg 560ms

Headshot accuracy12.3%+0.1%

first ⅓ avg 12.2% → last ⅓ avg 12.3%

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

0.18Best rating — mirage 13–7

13–1Biggest win — dust2

6Longest win streak

8–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 67% over 6cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	42	21–21	50%	0.02
mirage	B	19	9–10	47%	-0.00
ancient	B	11	5–6	45%	-0.02
cache	D	9	3–6	33%	0.00
inferno	D	6	2–4	33%	-0.02
nuke	S	6	4–2	67%	-0.01
anubis	—	4	1–3	25%	0.00
overpass	—	2	0–2	0%	-0.00
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

438Matches

50%Win rate

1.01Avg K/D

78.7ADR

37%Headshot %

Clutches & streaks

43%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	129	53%	1.03	14.7
Dust2	120	57%	1.10	15.2
Inferno	48	46%	0.87	13.5
Anubis	40	35%	0.92	13.3
Ancient	38	45%	0.94	14.7
Nuke	36	44%	1.01	15.1
Cache	18	50%	1.09	17.0
Overpass	8	50%	1.02	16.0

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.

13.1%Headshot accuracy

39.4%Accuracy (enemy spotted)

40.7%Spray accuracy

84.3%Counter-strafing

9.3°Preaim

543msReaction time

29.6%T opening success

60.3%CT opening success

0.54Enemies flashed / flash

6.8%Flash assists

8.50HE damage / grenade

8.28Flashes / 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 13.0547% — below the 15% mark we flag
Aim Training →
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 29.623% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–9	-0.05	11%	29 Aug →
ancient	7–13	0.01	10%	28 Aug →
mirage	15–15	-0.03	14%	25 Aug →
dust2	5–13	0.01	18%	24 Aug →
dust2	13–5	-0.00	11%	24 Aug →
dust2	13–4	0.01	12%	22 Aug →
mirage	8–13	0.03	14%	21 Aug →
dust2	9–13	0.00	14%	21 Aug →
anubis	9–13	-0.03	20%	18 Aug →
dust2	14–16	-0.03	16%	18 Aug →
mirage	9–13	-0.16	0%	18 Aug →
dust2	10–13	0.03	8%	17 Aug →
mirage	6–13	-0.06	12%	17 Aug →
inferno	13–11	0.02	16%	17 Aug →
ancient	11–13	0.01	10%	13 Aug →
ancient	0–13	-0.04	11%	12 Aug →
mirage	11–13	-0.04	10%	11 Aug →
mirage	13–4	0.06	8%	10 Aug →
mirage	13–2	-0.05	9%	10 Aug →
cache	13–3	0.00	28%	7 Aug →
anubis	11–13	0.01	8%	5 Aug →
dust2	13–6	0.12	9%	5 Aug →
dust2	13–1	0.11	15%	5 Aug →
mirage	2–13	-0.01	10%	5 Aug →
ancient	13–10	0.02	15%	4 Aug →
mirage	13–5	-0.03	13%	3 Aug →
dust2	13–2	0.10	13%	2 Aug →
dust2	13–4	0.06	21%	2 Aug →
cache	6–13	-0.01	6%	2 Aug →
mirage	13–8	0.12	17%	31 Jul →
cache	13–4	0.05	5%	31 Jul →
mirage	13–7	0.18	5%	30 Jul →
ancient	13–7	-0.04	13%	29 Jul →
dust2	13–5	0.05	8%	27 Jul →
dust2	13–7	0.05	16%	27 Jul →
mirage	10–13	0.00	12%	24 Jul →
dust2	7–13	-0.03	23%	24 Jul →
ancient	13–10	0.01	12%	23 Jul →
mirage	16–14	0.01	9%	23 Jul →
dust2	9–13	-0.04	7%	22 Jul →
dust2	3–13	-0.05	7%	22 Jul →
dust2	10–13	-0.05	6%	22 Jul →
dust2	13–6	0.00	5%	22 Jul →
cache	7–13	0.02	16%	22 Jul →
dust2	3–13	-0.05	9%	21 Jul →
dust2	4–13	-0.04	19%	21 Jul →
cache	13–8	-0.04	5%	21 Jul →
dust2	10–13	-0.05	21%	21 Jul →
dust2	10–13	0.00	10%	20 Jul →
dust2	8–13	-0.04	13%	19 Jul →
inferno	9–13	-0.09	13%	19 Jul →
dust2	13–9	0.01	10%	18 Jul →
dust2	4–13	-0.01	15%	18 Jul →
cache	3–13	0.05	12%	17 Jul →
train	13–11	-0.02	17%	17 Jul →
ancient	7–13	-0.05	13%	17 Jul →
mirage	13–8	-0.03	13%	13 Jul →
ancient	13–11	-0.00	14%	13 Jul →
cache	14–16	0.01	15%	10 Jul →
anubis	13–2	0.02	6%	10 Jul →
cache	13–16	-0.01	7%	10 Jul →
dust2	13–6	0.00	19%	8 Jul →
inferno	13–6	-0.04	9%	8 Jul →
ancient	16–19	0.00	10%	4 Jul →
overpass	13–16	0.03	15%	4 Jul →
dust2	13–9	0.07	8%	4 Jul →
mirage	7–13	-0.04	6%	4 Jul →
dust2	13–9	0.08	9%	4 Jul →
dust2	7–13	0.00	13%	1 Jul →
dust2	13–6	0.07	15%	27 Jun →
mirage	8–13	-0.07	13%	27 Jun →
inferno	10–13	0.00	15%	27 Jun →
mirage	13–7	0.05	21%	19 Jun →
ancient	13–10	-0.05	9%	19 Jun →
dust2	5–13	0.02	15%	19 Jun →
overpass	3–12	-0.03	14%	17 Jun →
inferno	9–13	0.05	3%	7 Jun →
nuke	1–1	-0.04	0%	4 Jun →
anubis	11–13	-0.00	9%	2 Jun →
dust2	13–10	-0.01	8%	2 Jun →
nuke	13–10	0.03	13%	2 Jun →
dust2	13–9	-0.01	8%	21 May →
nuke	13–11	0.01	14%	20 May →
cache	2–13	-0.05	20%	16 May →
dust2	13–1	0.02	18%	16 May →
mirage	4–13	-0.02	14%	15 May →
mirage	13–8	0.07	12%	10 May →
dust2	10–13	0.06	13%	10 May →
nuke	11–13	-0.04	3%	7 May →
dust2	13–11	0.02	19%	30 Apr →
dust2	8–13	-0.01	21%	30 Apr →
inferno	15–15	-0.06	9%	28 Apr →
ancient	10–13	-0.04	15%	26 Apr →
dust2	10–13	-0.03	5%	25 Apr →
dust2	13–6	0.11	9%	25 Apr →
dust2	9–13	0.08	23%	25 Apr →
nuke	13–7	0.04	7%	24 Apr →
dust2	5–13	0.02	13%	23 Apr →
dust2	13–11	0.03	9%	21 Apr →
nuke	12–16	-0.03	15%	20 Apr →