Singus Biggle — CS2 Stats

76561198001190478[U:1:40924750]Steam profile ↗✓ No bans

785Tracked matches57%Win rate2024Tracked since

1,872Hours in CS6Hrs last 2 wks

CSDB Rating4.2 Developing

FaceitLevel 2 · 613 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim44

Positioning34

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateTLLLWLWWLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim4.4

Aggression4.9

Utility6.1

Positioning3.4

Opening Duels1.5

Clutch2.2

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 NiKo 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 641ms 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

Aim4.4

Positioning3.4

Utility6.1

Mechanics5.4

Opening Duels1.5

Win Impact7.4

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time647ms−14ms

first ⅓ avg 661ms → last ⅓ avg 647ms

Headshot accuracy13.9%−2.0%

first ⅓ avg 15.8% → last ⅓ avg 13.9%

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

0.07Best rating — dust2 13–3

13–1Biggest win — train

6Longest win streak

7–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	11–10	52%	-0.04
mirage	C	16	6–10	38%	-0.05
inferno	A	14	8–6	57%	-0.04
cache	A	12	7–5	58%	-0.03
nuke	D	8	2–6	25%	-0.04
train	A	7	4–3	57%	-0.07
anubis	A	7	4–3	57%	-0.03
overpass	A	5	3–2	60%	-0.07
office	A	5	3–2	60%	-0.08
ancient	—	4	2–2	50%	-0.02
italy	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,894Lifetime kills

0.89K/D

2,373Matches

43.9%Match win rate

47.2%Headshot % · Top 50% of tracked players

6.4%Shot accuracy

2,498MVPs

806Hours (in match)

1,670Bombs planted

409Bombs defused

Most-used weapons

AK-4716,148

M4A4 / M4A1-S5,791

AWP1,693

Desert Eagle1,386

P2000 / USP-S1,097

P90947

MP9781

P250747

Glock-18734

MP7725

Lifetime map wins

3,128inferno

2,762dust2

1,186train

810nuke

542office

276cbble

166vertigo

82assault

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

Faceit stats

Combat

46Matches

43%Win rate

0.60Avg K/D

54.0ADR

42%Headshot %

Clutches & streaks

31%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	56%	0.67	10.1
Inferno	9	56%	0.58	9.3
Dust2	5	40%	0.51	7.2
Train	4	25%	0.76	10.8
Nuke	3	0%	0.33	5.3
Anubis	3	67%	0.81	7.7
Ancient	2	0%	0.22	3.5
Overpass	1	0%	0.41	7.0

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.

14.3%Headshot accuracy

29.4%Accuracy (enemy spotted)

31.8%Spray accuracy

74.4%Counter-strafing

9.7°Preaim

641msReaction time

31.9%T opening success

40.4%CT opening success

0.75Enemies flashed / flash

5.0%Flash assists

9.95HE damage / grenade

9.24Flashes / 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 14.2798% — 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 31.927% — 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.

25% win rate across 8 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
nuke	12–12	-0.01	5%	17 Aug →
inferno	1–10	-0.08	10%	17 Aug →
inferno	4–13	-0.07	21%	15 Aug →
dust2	7–13	-0.07	22%	15 Aug →
mirage	13–11	-0.00	14%	14 Aug →
dust2	9–13	-0.08	19%	11 Aug →
overpass	13–4	-0.05	9%	5 Aug →
cache	13–11	-0.01	3%	4 Aug →
train	5–13	-0.08	16%	3 Aug →
dust2	13–4	-0.05	9%	31 Jul →
dust2	13–4	0.06	10%	30 Jul →
overpass	5–13	-0.11	15%	29 Jul →
nuke	13–7	-0.04	21%	29 Jul →
inferno	13–10	-0.05	17%	27 Jul →
dust2	13–16	-0.01	16%	27 Jul →
inferno	8–13	-0.02	11%	27 Jul →
cache	13–4	0.00	17%	27 Jul →
dust2	13–7	-0.04	13%	27 Jul →
ancient	10–13	-0.06	3%	25 Jul →
dust2	13–9	-0.03	14%	25 Jul →
mirage	13–9	-0.06	9%	24 Jul →
dust2	13–9	-0.05	27%	24 Jul →
inferno	13–8	-0.04	15%	24 Jul →
train	13–8	-0.10	16%	23 Jul →
nuke	11–13	-0.04	18%	22 Jul →
office	13–9	-0.05	9%	22 Jul →
dust2	6–13	-0.07	13%	21 Jul →
anubis	13–8	-0.01	18%	21 Jul →
inferno	12–12	-0.03	25%	18 Jul →
inferno	8–13	-0.03	13%	5 Jul →
mirage	13–7	-0.08	13%	4 Jun →
dust2	10–13	-0.06	7%	3 Jun →
cache	13–8	-0.07	11%	3 Jun →
dust2	13–2	-0.01	15%	30 May →
cache	13–7	-0.03	12%	30 May →
anubis	13–4	-0.02	5%	29 May →
anubis	13–3	-0.03	4%	29 May →
mirage	4–13	-0.09	7%	28 May →
dust2	2–13	-0.10	22%	24 May →
mirage	12–12	-0.07	13%	20 May →
cache	12–12	-0.04	20%	19 May →
cache	6–13	0.04	23%	18 May →
office	13–6	-0.10	13%	18 May →
train	13–9	-0.08	14%	18 May →
cache	13–5	-0.04	15%	17 May →
cache	13–9	0.01	7%	17 May →
train	13–10	-0.05	10%	17 May →
cache	13–3	-0.01	7%	16 May →
office	10–13	-0.09	36%	16 May →
nuke	1–13	-0.10	0%	15 May →
inferno	13–8	-0.05	10%	15 May →
dust2	13–10	-0.01	25%	10 May →
anubis	3–9	0.02	7%	9 May →
italy	10–5	0.01	39%	9 May →
mirage	6–13	-0.02	13%	9 May →
cache	7–13	-0.02	11%	9 May →
inferno	13–11	-0.01	15%	6 May →
cache	3–13	-0.11	25%	2 May →
cache	3–13	-0.10	0%	2 May →
nuke	2–9	-0.02	13%	27 Apr →
inferno	13–11	-0.03	13%	27 Apr →
dust2	4–13	-0.09	20%	27 Apr →
mirage	8–13	-0.05	12%	24 Apr →
mirage	11–13	-0.05	13%	23 Apr →
mirage	13–9	-0.02	11%	22 Apr →
ancient	11–13	-0.03	13%	21 Apr →
nuke	6–13	-0.01	15%	19 Apr →
dust2	13–3	0.07	16%	19 Apr →
inferno	13–11	0.02	15%	19 Apr →
mirage	13–4	0.01	19%	19 Apr →
inferno	13–6	-0.06	27%	18 Apr →
nuke	9–13	-0.04	7%	18 Apr →
ancient	13–7	-0.00	16%	18 Apr →
dust2	2–13	-0.02	15%	15 Apr →
overpass	13–9	-0.04	13%	14 Apr →
mirage	4–13	-0.10	10%	12 Apr →
inferno	13–6	-0.05	21%	12 Apr →
dust2	13–10	-0.06	9%	12 Apr →
mirage	6–13	-0.03	16%	12 Apr →
overpass	10–13	-0.10	10%	10 Apr →
train	13–1	-0.02	11%	8 Apr →
mirage	16–14	-0.04	15%	8 Apr →
mirage	4–13	-0.12	0%	7 Apr →
office	7–13	-0.07	33%	6 Apr →
ancient	13–6	0.03	15%	6 Apr →
anubis	7–13	-0.09	11%	5 Apr →
anubis	2–13	-0.06	14%	5 Apr →
dust2	10–13	-0.07	19%	3 Apr →
anubis	13–8	0.01	11%	1 Apr →
overpass	13–7	-0.05	19%	29 Mar →
dust2	13–7	-0.03	12%	29 Mar →
train	8–13	-0.06	11%	29 Mar →
inferno	11–13	-0.05	8%	29 Mar →
mirage	11–13	-0.02	13%	28 Mar →
dust2	9–13	-0.01	21%	28 Mar →
nuke	13–9	-0.03	15%	28 Mar →
mirage	12–12	-0.05	15%	13 Mar →
dust2	13–5	-0.07	7%	20 Feb →
train	4–13	-0.09	35%	20 Feb →
office	13–11	-0.08	42%	13 Feb →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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