fan-bigo-man — CS2 Stats

US76561198169971989[U:1:209706261]Steam profile ↗✓ No bans

782Tracked matches67%Win rate2021Tracked since

CSDB Rating6.4 SolidHybrid Rifler

Premier CS Rating21,044Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning50

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateLWLWWLWWWW

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

Player DNA

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

Aim7.3

Aggression6.2

Utility5.0

Positioning5.0

Opening Duels2.6

Strong CT-side openerLimited utility dependence

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; lower utility contribution.

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 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim7.3

Positioning5.0

Utility5.0

Mechanics7.3

Opening Duels2.6

Win Impact10.0

Composite 6.4/10 (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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time572ms−80ms

first ⅓ avg 652ms → last ⅓ avg 572ms

Headshot accuracy13.2%+2.3%

first ⅓ avg 11.0% → last ⅓ avg 13.2%

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 — cache 13–8

13–2Biggest win — ancient

11Longest win streak

8–6In matches decided by ≤2 rounds

15Overtime games

Map breakdown

cacheBest map · 77% over 13infernoWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	21	12–9	57%	-0.01
dust2	A	19	11–8	58%	-0.00
inferno	C	14	6–8	43%	-0.01
cache	S	13	10–3	77%	0.03
anubis	B	11	5–6	45%	0.01
nuke	S	11	8–3	73%	-0.01
ancient	S	9	6–3	67%	-0.01
overpass	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.8%Headshot accuracy

35.8%Accuracy (enemy spotted)

37.4%Spray accuracy

82.8%Counter-strafing

7.8°Preaim

579msReaction time

30.0%T opening success

50.7%CT opening success

0.45Enemies flashed / flash

6.1%Flash assists

13.40HE damage / grenade

4.95Flashes / 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 11.781% — below the 15% mark we flag
Aim Training →
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 0.4531 — 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 30.0269% — 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.

43% win rate across 14 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	9–13	-0.03	6%	28 Aug →
dust2	13–10	-0.07	4%	28 Aug →
cache	7–13	-0.04	12%	28 Aug →
mirage	13–9	0.03	4%	28 Aug →
dust2	16–12	-0.01	13%	27 Aug →
anubis	11–13	-0.01	11%	27 Aug →
nuke	13–7	-0.03	16%	27 Aug →
ancient	13–2	0.00	3%	27 Aug →
dust2	13–6	0.01	8%	27 Aug →
dust2	13–5	0.01	16%	27 Aug →
mirage	13–6	-0.01	11%	27 Aug →
dust2	3–1	0.00	50%	27 Aug →
cache	13–5	0.04	15%	26 Aug →
nuke	13–9	-0.02	15%	26 Aug →
mirage	13–11	-0.03	11%	26 Aug →
mirage	13–7	0.00	6%	26 Aug →
dust2	13–9	-0.00	10%	26 Aug →
ancient	11–13	-0.02	10%	26 Aug →
anubis	13–6	-0.02	11%	26 Aug →
inferno	10–13	-0.00	12%	25 Aug →
dust2	13–10	0.09	20%	25 Aug →
cache	13–11	-0.04	9%	25 Aug →
inferno	13–5	0.08	12%	24 Aug →
cache	11–13	-0.04	10%	23 Aug →
mirage	13–10	-0.04	17%	23 Aug →
dust2	11–13	0.01	17%	22 Aug →
mirage	13–9	-0.06	12%	22 Aug →
nuke	7–13	0.04	15%	21 Aug →
mirage	6–13	-0.09	12%	15 Aug →
cache	5–13	0.06	16%	15 Aug →
mirage	13–3	0.10	19%	15 Aug →
anubis	9–13	-0.00	10%	13 Aug →
ancient	16–13	0.04	25%	13 Aug →
inferno	2–13	0.02	15%	13 Aug →
dust2	14–16	-0.00	15%	10 Aug →
cache	13–6	0.00	4%	9 Aug →
mirage	5–13	-0.06	14%	9 Aug →
inferno	13–11	-0.01	14%	9 Aug →
inferno	3–13	-0.08	19%	9 Aug →
dust2	10–13	0.00	14%	9 Aug →
dust2	13–4	0.02	18%	8 Aug →
dust2	13–11	-0.02	25%	8 Aug →
mirage	8–13	-0.04	6%	8 Aug →
nuke	7–13	-0.03	15%	7 Aug →
nuke	13–6	0.05	22%	7 Aug →
inferno	12–16	-0.07	12%	7 Aug →
mirage	8–13	0.04	28%	1 Aug →
mirage	13–8	-0.03	11%	30 Jul →
ancient	13–3	0.03	12%	30 Jul →
ancient	1–13	-0.07	12%	30 Jul →
inferno	8–13	-0.09	11%	29 Jul →
anubis	5–13	0.01	18%	29 Jul →
mirage	10–13	-0.05	11%	26 Jul →
dust2	4–13	-0.12	19%	26 Jul →
cache	13–10	-0.01	15%	26 Jul →
inferno	12–16	0.05	18%	24 Jul →
cache	13–9	0.00	19%	24 Jul →
nuke	13–7	0.06	15%	24 Jul →
dust2	1–13	-0.07	11%	23 Jul →
inferno	13–11	-0.03	11%	21 Jul →
mirage	2–13	-0.05	17%	21 Jul →
nuke	13–11	-0.02	12%	21 Jul →
mirage	3–13	-0.03	9%	21 Jul →
mirage	13–8	-0.02	18%	20 Jul →
anubis	13–16	-0.07	10%	20 Jul →
anubis	13–10	0.05	14%	20 Jul →
inferno	16–13	0.08	13%	20 Jul →
inferno	13–9	-0.01	13%	19 Jul →
nuke	13–9	-0.02	5%	19 Jul →
ancient	13–7	0.01	6%	18 Jul →
ancient	13–7	-0.04	10%	18 Jul →
cache	13–10	0.10	13%	17 Jul →
mirage	15–15	0.00	7%	17 Jul →
ancient	13–10	-0.01	9%	16 Jul →
mirage	13–6	0.04	10%	16 Jul →
dust2	10–13	-0.05	10%	15 Jul →
cache	16–13	0.06	16%	15 Jul →
anubis	16–12	0.05	14%	15 Jul →
mirage	10–13	-0.01	8%	15 Jul →
anubis	10–13	-0.02	10%	11 Jul →
mirage	13–10	-0.04	6%	11 Jul →
dust2	12–16	0.02	9%	11 Jul →
dust2	13–5	0.06	8%	9 Jul →
cache	13–8	0.18	11%	8 Jul →
cache	13–6	0.02	19%	8 Jul →
cache	13–10	0.10	12%	7 Jul →
dust2	14–16	0.05	13%	6 Jul →
overpass	13–5	0.08	12%	6 Jul →
overpass	13–11	-0.02	6%	4 Jul →
anubis	13–6	0.10	19%	4 Jul →
inferno	13–16	-0.08	8%	25 Jun →
ancient	10–13	-0.03	13%	25 Jun →
dust2	13–10	0.00	14%	22 Jun →
inferno	13–8	0.00	13%	21 Jun →
nuke	10–13	-0.09	6%	21 Jun →
inferno	8–13	-0.07	12%	20 Jun →
anubis	13–9	0.04	4%	20 Jun →
nuke	16–13	-0.03	12%	20 Jun →
mirage	16–13	0.04	14%	20 Jun →
nuke	13–7	-0.01	18%	20 Jun →