BIGR — CS2 Stats

CZ76561197997059630[U:1:36793902]Steam profile ↗

2,087Tracked matches50%Win rate2020Tracked since

4,209Hours in CS

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating19,864Purple band · top ~9% of ranked players (population est.)

CSDB Leaderboard#9443 of 21028 tracked

FaceitLevel 9 · 1,835 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	vs Level 10
Headshot rate	45.0%	52.8%	7.7% short
Shot accuracy	14.9%	13.7%	above
Kill/death ratio	1.18	1.08	above
Match win rate	65.1%	49.2%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim61

Positioning50

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLWWWLWWLL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression6.0

Utility6.5

Positioning5.0

Opening Duels2.1

Clutch3.4

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 Twistzz 89% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

T-side openings. Opening success drops from 51% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 666ms 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

Aim6.1

Positioning5.0

Utility6.5

Mechanics5.6

Opening Duels2.6

Win Impact5.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time666ms−5ms

first ⅓ avg 671ms → last ⅓ avg 666ms

Headshot accuracy22.9%−4.1%

first ⅓ avg 27.0% → last ⅓ avg 22.9%

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

0.17Best rating — anubis 13–6

13–0Biggest win — mirage

6Longest win streak

11–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 58% over 12infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	22	10–12	45%	0.02
cache	B	21	10–11	48%	-0.01
mirage	A	18	10–8	56%	0.02
anubis	A	12	7–5	58%	0.00
dust2	C	12	5–7	42%	-0.02
ancient	C	5	2–3	40%	0.02
inferno	D	5	1–4	20%	-0.01
vertigo	—	4	2–2	50%	0.02
train	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

223,649Lifetime kills

1.18K/D · Top 25% of tracked players

14,325Matches

65.1%Match win rate · Top 5% of tracked players

45.0%Headshot %

14.9%Shot accuracy · Top 50% of tracked players

23,783MVPs

4,209Hours (in match)

11,068Bombs planted

2,457Bombs defused

Most-used weapons

AK-4760,045

AWP41,374

M4A4 / M4A1-S37,991

P2000 / USP-S13,600

Desert Eagle8,485

Tec-98,203

Glock-188,196

Five-SeveN5,845

Knife4,016

P903,949

Lifetime map wins

11,943inferno

9,489vertigo

7,237dust2

4,354nuke

2,915train

1,539office

1,046cbble

164aztec

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

Faceit stats

Combat

2,539Matches

50%Win rate

0.99Avg K/D

81.3ADR

38%Headshot %

Clutches & streaks

37%1v1 clutch win

17%1v2 clutch win

18Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	58	43%	1.19	19.2
Mirage	35	40%	0.89	14.3
Ancient	24	62%	0.96	14.0
Nuke	17	65%	1.28	17.3
Dust2	8	12%	0.75	14.4
Train	8	88%	1.30	20.4
Inferno	4	50%	0.64	9.8
Vertigo	2	50%	1.12	22.0

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.

22.6%Headshot accuracy

32.3%Accuracy (enemy spotted)

39.4%Spray accuracy

75.2%Counter-strafing

10.5°Preaim

666msReaction time

25.7%T opening success

51.2%CT opening success

0.64Enemies flashed / flash

8.0%Flash assists

7.17HE damage / grenade

11.49Flashes / 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 25.6516% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–6	0.17	22%	25 Aug →
dust2	0–13	-0.04	55%	25 Aug →
nuke	13–3	0.05	24%	25 Aug →
anubis	13–5	0.01	21%	3 Aug →
ancient	13–2	0.08	20%	3 Aug →
inferno	5–13	-0.07	8%	3 Aug →
cache	13–7	0.02	24%	3 Aug →
cache	13–11	-0.02	26%	3 Aug →
dust2	3–13	-0.04	20%	3 Aug →
mirage	1–13	-0.05	8%	3 Aug →
mirage	13–3	0.02	22%	3 Aug →
cache	13–11	-0.01	24%	3 Aug →
ancient	9–13	-0.00	25%	3 Aug →
dust2	13–2	-0.04	39%	3 Aug →
mirage	13–7	0.05	16%	3 Aug →
cache	13–4	0.07	13%	2 Aug →
inferno	3–13	-0.07	25%	2 Aug →
nuke	11–13	0.01	24%	2 Aug →
anubis	8–13	0.08	18%	2 Aug →
nuke	11–13	0.02	28%	2 Aug →
mirage	13–7	-0.00	14%	30 Jul →
mirage	5–13	-0.01	36%	9 Jul →
dust2	13–11	-0.04	20%	9 Jul →
ancient	13–4	0.05	13%	9 Jul →
cache	10–13	-0.09	15%	8 Jul →
mirage	2–13	0.07	26%	1 Jul →
dust2	11–13	-0.01	31%	1 Jul →
cache	2–13	-0.09	0%	1 Jul →
inferno	3–13	-0.01	23%	30 Jun →
nuke	13–3	0.03	50%	30 Jun →
ancient	6–13	0.01	34%	30 Jun →
nuke	16–13	0.05	15%	30 Jun →
nuke	1–13	-0.03	19%	29 Jun →
dust2	12–16	0.00	56%	29 Jun →
anubis	7–13	-0.10	13%	28 Jun →
mirage	15–15	0.00	11%	28 Jun →
dust2	9–13	-0.06	12%	28 Jun →
anubis	13–11	-0.05	16%	28 Jun →
mirage	13–3	-0.05	19%	28 Jun →
anubis	13–11	-0.02	7%	28 Jun →
dust2	10–13	-0.03	27%	28 Jun →
anubis	13–10	-0.02	18%	26 Jun →
mirage	8–13	-0.02	11%	26 Jun →
inferno	10–13	-0.05	12%	26 Jun →
nuke	9–13	0.02	19%	26 Jun →
anubis	16–14	-0.06	13%	26 Jun →
nuke	10–13	-0.04	33%	26 Jun →
ancient	6–13	-0.03	20%	26 Jun →
nuke	13–5	-0.01	15%	26 Jun →
cache	13–11	0.05	25%	18 Jun →
cache	13–9	-0.01	24%	18 Jun →
cache	10–13	-0.03	26%	17 Jun →
vertigo	13–11	0.02	29%	16 Jun →
cache	3–13	-0.02	50%	16 Jun →
vertigo	8–13	-0.01	44%	11 Jun →
cache	1–13	-0.04	37%	11 Jun →
nuke	11–13	-0.00	25%	11 Jun →
cache	13–11	-0.01	20%	11 Jun →
cache	7–13	-0.05	37%	11 Jun →
mirage	13–10	0.04	15%	8 Jun →
nuke	6–13	-0.06	17%	8 Jun →
cache	7–13	-0.00	24%	8 Jun →
cache	12–12	0.09	20%	8 Jun →
cache	13–7	0.08	31%	5 Jun →
nuke	12–12	-0.03	20%	5 Jun →
mirage	13–2	0.04	13%	4 Jun →
cache	13–1	-0.01	27%	4 Jun →
mirage	13–5	0.15	21%	3 Jun →
dust2	13–8	-0.04	18%	3 Jun →
dust2	13–9	-0.02	24%	1 Jun →
dust2	13–7	-0.00	29%	1 Jun →
nuke	11–13	0.01	39%	24 May →
train	9–13	0.00	41%	21 May →
vertigo	13–6	0.12	31%	21 May →
cache	3–13	-0.02	32%	21 May →
cache	6–13	-0.06	23%	16 May →
nuke	8–13	-0.01	24%	16 May →
cache	11–13	-0.07	18%	16 May →
nuke	13–7	0.06	37%	16 May →
cache	13–9	0.06	25%	29 Apr →
nuke	13–4	0.08	44%	28 Apr →
nuke	13–4	0.14	71%	28 Apr →
mirage	13–0	-0.05	40%	28 Apr →
mirage	10–13	-0.07	32%	28 Apr →
anubis	13–11	-0.02	18%	26 Apr →
mirage	10–13	0.09	22%	20 Apr →
anubis	14–16	0.06	15%	15 Apr →
nuke	16–12	0.00	28%	15 Apr →
vertigo	9–13	-0.02	20%	13 Apr →
nuke	13–1	0.05	30%	11 Apr →
mirage	13–11	0.11	26%	11 Apr →
inferno	13–8	0.15	24%	1 Apr →
nuke	7–13	0.06	10%	30 Mar →
mirage	13–8	0.04	21%	30 Mar →
anubis	6–13	-0.04	20%	25 Mar →
mirage	9–13	0.01	16%	25 Mar →
dust2	12–12	0.02	30%	24 Mar →
nuke	13–10	0.09	29%	23 Mar →
anubis	7–13	-0.00	10%	17 Mar →
nuke	10–13	0.03	21%	16 Mar →