BigBallsAle — CS2 Stats

AF76561198336400274[U:1:376134546]Steam profile ↗VAC banned

2,378Tracked matches53%Win rate2020Tracked since

5,617Hours in CS24Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating22,151Top 50% of 44,590 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)

CSDB Leaderboard#14929 of 57102 tracked

FaceitLevel 10 · 2,608 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	42.9%	51.7%
Shot accuracy	7.7%	13.8%
Kill/death ratio	1.26	1.09
Match win rate	39.0%	48.7%

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Performance scores

Aim84

Positioning59

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWWLLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

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

Aim8.4

Aggression7.0

Utility5.3

Positioning5.9

Opening Duels2.3

Clutch3.6

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 94% playstyle similarity

Most alike: opening-duel success, 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.4

Positioning5.9

Utility5.3

Mechanics5.7

Opening Duels2.3

Win Impact6.1

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time530ms−2ms

first ⅓ avg 532ms → last ⅓ avg 530ms

Headshot accuracy18.6%+2.8%

first ⅓ avg 15.7% → last ⅓ avg 18.6%

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

0.26Best rating — vertigo 9–2

10–0Biggest win — mirage

6Longest win streak

W3Current streak

10–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

overpassBest map · 67% over 6trainWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	26	16–10	62%	0.03
nuke	S	17	11–6	65%	0.01
mirage	C	17	7–10	41%	0.02
anubis	C	14	6–8	43%	0.01
train	D	7	2–5	29%	0.01
dust2	D	6	2–4	33%	0.01
overpass	S	6	4–2	67%	0.03
inferno	—	4	2–2	50%	0.03
cache	—	1	1–0	100%	-0.00
vertigo	—	1	1–0	100%	0.26
metal	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

171,288Lifetime kills

1.26K/D · Top 25% of Level 10 players

6,384Matches

39.0%Match win rate

42.9%Headshot %

7.7%Shot accuracy

15,770MVPs

2,751Hours (in match)

6,081Bombs planted

2,191Bombs defused

Most-used weapons

AK-4773,310

AWP25,809

M4A4 / M4A1-S24,405

Desert Eagle13,364

P2000 / USP-S6,695

Glock-183,795

Knife2,907

Galil AR2,021

SSG 081,903

MP91,679

Lifetime map wins

7,402dust2

4,704inferno

2,512nuke

2,199train

2,069vertigo

1,044cbble

752office

151dust

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

Faceit stats

Combat

2,735Matches

52%Win rate

1.22Avg K/D

84.8ADR

43%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	557	57%	1.25	17.6
Mirage	498	51%	1.16	16.5
Anubis	437	51%	1.25	17.4
Dust2	228	49%	1.13	15.9
Inferno	177	46%	1.16	17.1
Nuke	151	50%	1.15	16.3
Overpass	111	54%	1.24	16.7
Train	79	46%	1.20	17.7

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.

18.5%Headshot accuracy

38.7%Accuracy (enemy spotted)

44.5%Spray accuracy

75.7%Counter-strafing

8.6°Preaim

532msReaction time

35.0%T opening success

43.2%CT opening success

0.48Enemies flashed / flash

6.3%Flash assists

8.94HE damage / grenade

8.27Flashes / 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.

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 0.4825 — 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 35.0135% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–4	0.10	31%	19 Aug →
anubis	13–6	-0.03	25%	5 Aug →
cache	16–14	-0.00	25%	2 Aug →
nuke	7–13	-0.02	22%	21 Jul →
anubis	8–13	0.02	9%	16 Jul →
ancient	13–10	0.01	27%	16 Jul →
anubis	13–6	0.06	19%	12 Jul →
ancient	11–13	-0.01	19%	12 Jul →
mirage	10–13	0.09	13%	10 Jul →
ancient	13–4	0.05	28%	8 Jul →
nuke	2–13	-0.06	39%	2 Jul →
anubis	5–13	-0.04	15%	1 Jul →
anubis	7–13	-0.01	21%	1 Jul →
ancient	9–13	-0.02	12%	28 Jun →
anubis	13–11	0.00	14%	28 Jun →
inferno	8–13	-0.00	15%	26 Jun →
mirage	13–5	0.05	16%	22 Jun →
anubis	3–13	-0.00	26%	21 Jun →
mirage	13–11	0.01	24%	19 Jun →
anubis	13–8	-0.06	11%	15 Jun →
ancient	16–14	0.03	11%	13 Jun →
anubis	10–13	-0.01	13%	11 Jun →
dust2	11–13	-0.04	21%	9 Jun →
mirage	9–13	-0.00	8%	7 Jun →
ancient	13–6	-0.02	10%	6 Jun →
mirage	10–0	0.00	18%	6 Jun →
ancient	4–13	-0.03	22%	5 Jun →
ancient	13–9	0.05	14%	24 May →
ancient	13–7	0.10	18%	10 May →
mirage	13–6	0.07	25%	9 May →
dust2	19–22	0.07	18%	19 Apr →
ancient	13–16	0.07	9%	18 Apr →
nuke	13–8	0.05	15%	7 Apr →
mirage	13–7	0.05	8%	6 Apr →
anubis	13–10	0.05	15%	6 Apr →
mirage	14–16	-0.05	10%	3 Apr →
anubis	9–13	0.01	16%	8 Mar →
anubis	9–13	0.04	11%	8 Mar →
nuke	7–13	-0.01	18%	22 Feb →
mirage	11–13	-0.04	10%	18 Jan →
nuke	9–13	-0.02	8%	18 Jan →
ancient	4–13	0.06	14%	17 Jan →
anubis	13–5	-0.01	17%	17 Jan →
train	11–13	-0.03	12%	11 Jan →
anubis	11–13	0.08	18%	11 Jan →
ancient	8–13	0.04	12%	8 Jan →
train	13–10	0.03	21%	6 Jan →
train	13–16	-0.03	14%	6 Jan →
ancient	13–10	0.04	19%	5 Jan →
ancient	13–4	0.12	24%	5 Jan →
overpass	2–13	-0.05	25%	5 Jan →
train	21–25	-0.02	16%	4 Jan →
ancient	13–6	0.08	14%	4 Jan →
dust2	13–11	0.03	15%	4 Jan →
mirage	2–13	-0.07	8%	3 Jan →
ancient	10–13	-0.05	22%	2 Jan →
dust2	1–13	-0.07	33%	1 Jan →
nuke	6–13	0.00	14%	29 Dec →
ancient	10–13	0.02	11%	29 Dec →
ancient	13–11	0.03	20%	28 Dec →
mirage	15–19	0.00	17%	20 Dec →
train	15–15	0.06	28%	19 Dec →
ancient	13–5	0.17	25%	19 Dec →
mirage	13–5	0.10	22%	19 Dec →
nuke	13–9	0.05	13%	5 Nov →
train	13–5	0.05	21%	5 Nov →
nuke	13–9	-0.01	17%	28 Oct →
overpass	13–7	0.04	15%	25 Oct →
mirage	6–8	-0.02	23%	19 Oct →
overpass	9–7	0.07	19%	18 Oct →
nuke	9–5	0.10	9%	18 Oct →
inferno	9–6	0.05	10%	18 Oct →
vertigo	9–2	0.26	35%	18 Oct →
mirage	10–13	-0.02	7%	18 Oct →
dust2	10–13	0.05	8%	17 Oct →
train	9–13	-0.01	5%	16 Oct →
mirage	13–7	0.15	20%	14 Oct →
nuke	8–13	-0.07	24%	10 Oct →
ancient	13–4	0.01	22%	7 Oct →
mirage	7–13	-0.02	14%	7 Oct →
ancient	16–14	-0.02	13%	6 Oct →
overpass	13–8	0.05	18%	6 Oct →
mirage	6–13	0.01	17%	6 Oct →
overpass	13–8	0.07	8%	30 Sept →
nuke	16–13	0.04	13%	30 Sept →
inferno	13–11	0.01	11%	29 Sept →
dust2	13–10	0.04	23%	29 Sept →
nuke	13–6	0.02	18%	28 Sept →
metal	6–13	-0.08	0%	26 Sept →
inferno	7–13	0.05	12%	26 Sept →
nuke	19–16	0.05	15%	26 Sept →
ancient	16–14	0.01	15%	26 Sept →
ancient	11–13	0.03	8%	26 Sept →
ancient	14–16	-0.01	16%	25 Sept →
nuke	13–8	-0.01	15%	23 Sept →
nuke	13–4	0.01	31%	18 Sept →
ancient	13–6	0.05	13%	18 Sept →
ancient	13–4	-0.00	11%	18 Sept →
overpass	3–13	0.01	34%	17 Sept →
nuke	13–7	0.01	18%	17 Sept →