BigYeeterz — CS2 Stats

US76561198167946068[U:1:207680340]Steam profile ↗

2,187Tracked matches70%Win rate2020Tracked since

6,027Hours in CS35Hrs last 2 wks

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating29,999Top 1% of 819 CSDB-tracked playersRed band · top ~0.6% of ranked players (population est.)

CSDB Leaderboard#82 of 17283 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning56

Utility72

0–100 skill scores via Leetify.

Recent form

HOT59–35–6Last 10059%Win rateWWWLLLWWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.6

Aggression8.9

Utility7.2

Positioning5.6

Opening Duels3.6

Clutch4.4

Sharp aimer

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 jL 94% playstyle similarity

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

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 613ms 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

Aim8.6

Positioning5.6

Utility7.2

Mechanics8.0

Opening Duels3.6

Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time609ms+21ms

first ⅓ avg 588ms → last ⅓ avg 609ms

Headshot accuracy27.3%+3.2%

first ⅓ avg 24.1% → last ⅓ avg 27.3%

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

0.11Best rating — dust2 13–11

13–1Biggest win — dust2

8Longest win streak

W3Current streak

14–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 72% over 25nukeWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	13–12	52%	0.02
mirage	S	25	18–7	72%	0.02
inferno	A	11	6–5	55%	0.00
nuke	B	11	5–6	45%	0.01
ancient	A	11	6–5	55%	0.03
anubis	A	8	5–3	63%	0.00
vertigo	—	3	3–0	100%	0.06
cache	—	3	1–2	33%	0.04
overpass	—	2	2–0	100%	0.02
train	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

282,994Lifetime kills

1.05K/D

5,276Matches

53.2%Match win rate · Top 10% of tracked players

63.4%Headshot % · Top 5% of tracked players

17.1%Shot accuracy · Top 25% of tracked players

18,736MVPs

10,110Hours (in match)

10,842Bombs planted

2,773Bombs defused

Most-used weapons

AK-47136,689

M4A4 / M4A1-S41,408

Desert Eagle25,858

AWP21,723

P2000 / USP-S18,618

Glock-186,887

SSG 084,041

SG 5533,635

Knife2,923

P2502,781

Lifetime map wins

15,207dust2

12,604inferno

4,041nuke

2,772vertigo

2,219train

1,260cbble

125office

68italy

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

Faceit stats

Combat

1,248Matches

56%Win rate

1.26Avg K/D

81.0ADR

47%Headshot %

Clutches & streaks

42%1v1 clutch win

28%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	155	51%	1.09	15.8
Dust2	116	59%	1.21	17.1
Ancient	69	48%	1.18	17.4
Inferno	65	68%	1.23	15.2
Anubis	51	51%	1.08	16.0
Nuke	46	59%	1.13	17.0
Vertigo	27	74%	1.17	16.0
Train	8	50%	1.13	16.8

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.

27.0%Headshot accuracy

38.2%Accuracy (enemy spotted)

40.5%Spray accuracy

85.8%Counter-strafing

10.1°Preaim

613msReaction time

37.3%T opening success

51.3%CT opening success

0.69Enemies flashed / flash

11.5%Flash assists

11.20HE damage / grenade

12.47Flashes / 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 37.3218% — below the 40% mark we flag

Spend your practice time on Nuke

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	0.05	26%	26 Aug →
mirage	13–11	0.04	20%	19 Aug →
inferno	13–9	-0.02	31%	12 Aug →
mirage	9–13	0.04	33%	29 Jul →
dust2	9–13	-0.07	20%	15 Jul →
dust2	4–13	-0.06	26%	30 May →
mirage	13–11	-0.00	32%	22 May →
nuke	13–4	0.01	27%	22 May →
vertigo	13–6	0.10	31%	20 May →
dust2	13–11	0.11	18%	17 May →
dust2	9–13	0.05	23%	15 May →
inferno	13–8	0.03	17%	11 May →
cache	8–13	0.03	28%	11 May →
nuke	11–13	-0.00	38%	6 May →
cache	13–7	0.03	26%	1 May →
cache	12–12	0.06	23%	1 May →
ancient	16–14	0.01	27%	29 Apr →
dust2	13–6	0.06	10%	24 Apr →
inferno	12–12	0.02	37%	19 Apr →
anubis	13–9	0.03	35%	19 Apr →
vertigo	13–11	-0.02	32%	19 Apr →
mirage	12–12	0.01	33%	19 Apr →
dust2	13–11	0.10	30%	19 Apr →
ancient	13–4	0.09	22%	19 Apr →
mirage	13–9	0.04	13%	17 Apr →
ancient	5–13	0.06	20%	17 Apr →
dust2	11–13	0.08	25%	16 Apr →
dust2	13–11	0.08	33%	15 Apr →
inferno	13–9	0.05	36%	12 Apr →
mirage	13–2	0.06	32%	12 Apr →
dust2	8–13	-0.04	41%	12 Apr →
overpass	13–10	0.04	26%	12 Apr →
ancient	13–3	0.05	28%	11 Apr →
mirage	7–13	-0.01	14%	10 Apr →
nuke	13–9	0.07	40%	9 Apr →
nuke	4–9	-0.14	17%	8 Apr →
inferno	9–4	0.03	25%	8 Apr →
anubis	2–13	-0.10	17%	8 Apr →
dust2	13–2	0.01	26%	8 Apr →
mirage	13–10	-0.03	17%	8 Apr →
mirage	13–11	0.05	30%	7 Apr →
nuke	13–6	0.02	15%	7 Apr →
inferno	16–14	0.01	24%	7 Apr →
mirage	13–11	-0.00	36%	5 Apr →
ancient	7–13	-0.07	19%	5 Apr →
mirage	12–3	-0.02	23%	5 Apr →
dust2	13–5	-0.04	30%	5 Apr →
anubis	13–8	-0.02	13%	3 Apr →
dust2	12–12	0.07	23%	3 Apr →
dust2	2–13	-0.06	25%	3 Apr →
mirage	8–13	0.04	22%	3 Apr →
anubis	4–13	0.05	16%	3 Apr →
mirage	5–13	-0.06	21%	3 Apr →
inferno	6–13	-0.01	16%	2 Apr →
mirage	13–5	0.07	22%	1 Apr →
nuke	1–13	-0.01	21%	31 Mar →
mirage	13–4	0.06	23%	31 Mar →
dust2	13–10	0.03	28%	31 Mar →
mirage	13–6	0.04	29%	31 Mar →
ancient	9–13	-0.04	15%	31 Mar →
nuke	11–13	0.01	11%	29 Mar →
dust2	14–16	0.02	20%	29 Mar →
mirage	10–13	0.01	21%	29 Mar →
inferno	9–13	0.03	17%	29 Mar →
mirage	13–6	0.02	22%	28 Mar →
mirage	9–1	0.01	43%	28 Mar →
ancient	16–12	0.07	9%	28 Mar →
mirage	13–5	0.07	14%	26 Mar →
dust2	16–12	0.07	29%	26 Mar →
anubis	13–10	0.02	27%	25 Mar →
dust2	13–1	0.02	50%	25 Mar →
nuke	12–16	0.07	20%	25 Mar →
mirage	13–6	0.09	16%	25 Mar →
inferno	5–13	-0.03	24%	22 Mar →
mirage	13–3	0.02	16%	22 Mar →
dust2	11–13	0.01	37%	21 Mar →
dust2	13–11	-0.03	26%	21 Mar →
dust2	13–2	0.07	35%	21 Mar →
nuke	11–1	0.04	21%	21 Mar →
inferno	11–13	-0.04	23%	21 Mar →
mirage	13–6	0.02	20%	20 Mar →
nuke	11–13	-0.03	22%	19 Mar →
anubis	13–3	0.04	18%	19 Mar →
dust2	8–13	-0.07	14%	19 Mar →
ancient	16–14	0.02	22%	17 Mar →
anubis	8–13	0.02	28%	17 Mar →
train	12–12	-0.09	16%	15 Mar →
ancient	13–3	0.02	38%	15 Mar →
vertigo	13–4	0.10	14%	15 Mar →
overpass	13–5	-0.01	30%	15 Mar →
anubis	13–11	-0.02	26%	15 Mar →
nuke	13–6	0.06	32%	15 Mar →
inferno	13–6	-0.02	23%	15 Mar →
dust2	13–4	0.07	24%	15 Mar →
mirage	13–7	0.08	28%	14 Mar →
ancient	12–12	0.08	17%	14 Mar →
dust2	11–13	-0.02	14%	14 Mar →
ancient	12–16	0.02	23%	14 Mar →
dust2	5–13	-0.00	21%	13 Mar →
mirage	4–13	-0.06	27%	13 Mar →