SigTime — CS2 Stats

76561197992661263[U:1:32395535]✓ No bans

195Tracked matches50%Win rate2020Tracked since

943Hours in CS1Hrs last 2 wks

CSDB Rating4.2 Developing

Ladder ranks via Leetify

Performance scores

Aim34

Positioning59

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWLLLLWLWWW

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

Player DNA

Aim3.4

Aggression7.7

Utility4.2

Positioning5.9

Opening Duels2.8

Clutch2.6

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 82% playstyle similarity

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

Where you differ: lower utility contribution; 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. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4

Positioning5.9

Utility4.2

Mechanics3.8

Opening Duels2.8

Win Impact5.0

Composite 4.2/10 (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 rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time564ms−37ms

first ⅓ avg 601ms → last ⅓ avg 564ms

Headshot accuracy12.9%−1.4%

first ⅓ avg 14.3% → last ⅓ avg 12.9%

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

0.12Best rating — overpass 13–5

13–1Biggest win — overpass

6Longest win streak

6–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 63% over 8dust2Weakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	19	10–9	53%	0.01
nuke	B	17	9–8	53%	-0.00
overpass	A	16	9–7	56%	0.00
ancient	C	12	5–7	42%	0.00
dust2	D	12	2–10	17%	-0.03
anubis	A	8	5–3	63%	-0.00
mirage	A	7	4–3	57%	0.02
cache	—	4	2–2	50%	-0.02
train	—	2	1–1	50%	0.00
warden	—	1	0–1	0%	-0.04
alpine	—	1	1–0	100%	-0.03
vertigo	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,381Lifetime kills

1.43K/D · Top 10% of tracked players

1,390Matches

49.9%Match win rate · Top 25% of tracked players

45.5%Headshot %

12.6%Shot accuracy · Top 50% of tracked players

3,046MVPs

559Hours (in match)

1,222Bombs planted

377Bombs defused

Most-used weapons

AK-4710,875

AWP5,938

M4A4 / M4A1-S4,108

P903,236

P2501,404

P2000 / USP-S1,155

UMP-45729

Desert Eagle708

Tec-9613

Glock-18534

Lifetime map wins

2,487dust2

1,558inferno

1,102nuke

757train

432cbble

322vertigo

173lake

133office

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

Faceit stats

Combat

12Matches

50%Win rate

1.12Avg K/D

66.3ADR

30%Headshot %

Clutches & streaks

33%1v1 clutch win

17%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	3	67%	1.25	10.3
Inferno	2	50%	0.88	14.0
Dust2	1	0%	0.75	12.0
Nuke	1	0%	1.07	15.0
Vertigo	1	100%	0.89	17.0

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.

12.6%Headshot accuracy

27.7%Accuracy (enemy spotted)

29.6%Spray accuracy

67.3%Counter-strafing

10.8°Preaim

580msReaction time

38.8%T opening success

43.2%CT opening success

0.46Enemies flashed / flash

3.7%Flash assists

6.49HE damage / grenade

6.74Flashes / 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 12.6296% — 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 0.4595 — 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 38.7969% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–6	0.09	15%	28 Aug →
anubis	9–13	-0.07	10%	5 Aug →
ancient	5–13	0.00	27%	28 May →
dust2	2–11	0.03	33%	27 May →
dust2	7–13	-0.06	18%	27 May →
nuke	13–2	-0.01	11%	18 May →
inferno	7–13	0.03	7%	18 May →
overpass	16–14	0.01	13%	15 May →
inferno	13–6	-0.05	6%	14 May →
overpass	13–5	-0.02	11%	14 May →
inferno	13–4	0.06	18%	13 May →
nuke	13–9	0.01	12%	13 May →
ancient	8–13	0.01	13%	10 May →
overpass	13–5	0.12	21%	10 May →
warden	4–13	-0.04	9%	8 May →
cache	9–13	-0.01	7%	8 May →
anubis	13–7	-0.04	14%	8 May →
ancient	14–16	-0.05	8%	8 May →
overpass	13–6	0.08	12%	8 May →
cache	13–5	-0.01	11%	7 May →
overpass	11–13	-0.02	11%	7 May →
nuke	2–13	-0.07	9%	6 May →
inferno	8–1	-0.01	12%	6 May →
nuke	3–13	-0.06	16%	2 May →
cache	13–11	0.01	11%	2 May →
inferno	8–13	-0.01	13%	1 May →
nuke	13–2	-0.04	21%	1 May →
anubis	15–15	0.03	12%	30 Apr →
cache	12–12	-0.08	21%	29 Apr →
inferno	4–13	-0.02	9%	26 Apr →
ancient	0–7	-0.03	0%	26 Apr →
mirage	2–3	0.05	15%	25 Apr →
dust2	0–3	-0.16	0%	22 Apr →
overpass	0–8	-0.04	8%	18 Apr →
inferno	13–8	0.07	3%	18 Apr →
overpass	10–2	-0.01	20%	15 Apr →
nuke	13–2	-0.04	12%	15 Apr →
inferno	9–1	0.03	11%	13 Apr →
inferno	13–9	0.03	9%	13 Apr →
nuke	14–16	-0.01	9%	9 Apr →
ancient	13–8	0.01	11%	7 Apr →
nuke	7–13	0.06	22%	28 Mar →
dust2	6–13	0.02	28%	27 Mar →
nuke	13–8	0.08	19%	27 Mar →
overpass	6–13	-0.06	16%	27 Mar →
anubis	13–9	0.02	17%	27 Mar →
ancient	11–13	-0.00	12%	24 Mar →
nuke	11–13	0.04	8%	20 Mar →
dust2	1–13	-0.00	18%	19 Mar →
overpass	10–13	0.05	6%	18 Mar →
ancient	13–10	0.04	14%	18 Mar →
inferno	16–14	-0.03	12%	18 Mar →
dust2	13–10	0.04	14%	17 Mar →
inferno	7–13	-0.05	6%	15 Mar →
ancient	6–13	-0.03	9%	15 Mar →
inferno	13–11	0.08	16%	14 Mar →
dust2	6–13	-0.09	8%	13 Mar →
overpass	13–4	0.01	6%	13 Mar →
inferno	13–9	0.04	19%	12 Mar →
overpass	4–13	-0.06	5%	12 Mar →
inferno	7–13	-0.04	5%	11 Mar →
anubis	8–13	-0.05	10%	11 Mar →
inferno	10–13	0.01	16%	9 Mar →
nuke	13–11	0.00	16%	8 Mar →
overpass	13–3	0.07	10%	8 Mar →
dust2	7–13	-0.04	16%	8 Mar →
mirage	13–6	0.01	28%	8 Mar →
overpass	10–13	-0.05	7%	6 Mar →
overpass	13–8	0.02	14%	4 Mar →
nuke	13–7	0.03	19%	3 Mar →
ancient	13–9	0.06	13%	3 Mar →
nuke	5–13	-0.02	14%	2 Mar →
inferno	15–15	-0.02	16%	2 Mar →
dust2	13–4	0.00	17%	2 Mar →
mirage	10–13	-0.03	11%	28 Feb →
overpass	8–13	-0.10	10%	28 Feb →
nuke	11–13	-0.06	12%	26 Feb →
train	6–13	-0.02	10%	26 Feb →
nuke	7–1	0.04	28%	26 Feb →
ancient	13–5	0.09	9%	20 Feb →
alpine	13–10	-0.03	7%	20 Feb →
dust2	4–13	-0.04	13%	18 Feb →
mirage	13–5	0.07	14%	18 Feb →
mirage	13–5	-0.02	15%	18 Feb →
mirage	2–13	0.01	6%	16 Feb →
inferno	12–12	0.07	13%	15 Feb →
vertigo	13–8	0.05	15%	15 Feb →
dust2	9–13	-0.04	33%	14 Feb →
anubis	16–12	0.00	11%	13 Feb →
mirage	13–8	0.02	20%	13 Feb →
inferno	13–8	0.04	18%	13 Feb →
nuke	13–10	0.01	20%	13 Feb →
anubis	13–10	-0.01	23%	13 Feb →
ancient	13–8	-0.00	7%	10 Feb →
inferno	6–13	0.03	10%	10 Feb →
dust2	6–13	-0.03	6%	10 Feb →
nuke	12–12	-0.04	13%	10 Feb →
ancient	4–13	-0.09	16%	10 Feb →
train	13–11	0.03	14%	3 Feb →
overpass	13–1	0.06	16%	2 Feb →