Segt- — CS2 Stats

SE76561198150597378[U:1:190331650]Steam profile ↗✓ No bans

1,529Tracked matches46%Win rate2020Tracked since

7,846Hours in CS19Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating21,358Top 50% of 29,473 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#12947 of 40530 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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	Pink band median	Red band median	vs Red band
Headshot rate	49.4%	47.1%	50.0%	meets
Shot accuracy	15.1%	12.8%	13.5%	above
Kill/death ratio	1.06	1.08	1.13	0.07 short
Match win rate	44.5%	46.6%	48.4%	3.9% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

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Performance scores

Aim86

Positioning54

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWWLWLLTWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim8.6

Aggression7.0

Utility6.0

Positioning5.4

Opening Duels2.7

Clutch3.4

Sharp aimerEffective flashes

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 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Positioning5.4

Utility6.0

Mechanics7.5

Opening Duels2.7

Win Impact3.8

Composite 6.5/10 (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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time517ms−86ms

first ⅓ avg 603ms → last ⅓ avg 517ms

Headshot accuracy23.0%−6.5%

first ⅓ avg 29.4% → last ⅓ avg 23.0%

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

0.19Best rating — mirage 13–3

13–1Biggest win — mirage

6Longest win streak

6–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 63% over 19cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	26	11–15	42%	0.03
ancient	B	21	10–11	48%	0.00
anubis	A	19	12–7	63%	0.02
inferno	C	18	8–10	44%	0.03
cache	C	8	3–5	38%	0.02
nuke	—	4	2–2	50%	0.04
dust2	—	3	1–2	33%	-0.02
eldorado	—	1	0–1	0%	0.13

Across the last 100 tracked matches.

Lifetime stats

190,799Lifetime kills

1.06K/D

8,334Matches

44.5%Match win rate

49.4%Headshot % · Top 50% of Pink band

15.1%Shot accuracy · Top 50% of Pink band

21,122MVPs

4,136Hours (in match)

6,878Bombs planted

2,366Bombs defused

Most-used weapons

AK-4758,170

AWP40,234

M4A4 / M4A1-S28,527

Desert Eagle14,801

P2000 / USP-S10,561

Glock-186,016

SSG 084,816

Knife3,312

P902,933

UMP-452,429

Lifetime map wins

19,646inferno

6,867dust2

3,872train

3,164nuke

1,919vertigo

1,884cbble

133office

105lake

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

Faceit stats

Combat

1,897Matches

52%Win rate

1.15Avg K/D

79.1ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	62	55%	1.35	16.9
Ancient	32	53%	1.13	16.5
Inferno	27	63%	1.43	17.3
Anubis	27	56%	1.05	14.4
Dust2	10	40%	1.01	14.0
Overpass	10	50%	1.14	14.8
Nuke	9	44%	1.27	14.9
Cache	7	57%	1.40	20.0

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.

22.8%Headshot accuracy

34.1%Accuracy (enemy spotted)

33.8%Spray accuracy

83.6%Counter-strafing

7.0°Preaim

513msReaction time

35.0%T opening success

47.0%CT opening success

0.72Enemies flashed / flash

5.3%Flash assists

7.93HE damage / grenade

10.81Flashes / 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 34.9519% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.00	27%	29 Aug →
inferno	13–7	0.07	33%	29 Aug →
ancient	13–10	0.08	33%	29 Aug →
ancient	9–13	0.01	21%	29 Aug →
mirage	13–8	0.05	43%	29 Aug →
inferno	14–16	-0.09	12%	29 Aug →
cache	1–13	-0.04	32%	29 Aug →
dust2	15–15	-0.01	13%	29 Aug →
anubis	13–4	0.01	22%	29 Aug →
mirage	13–1	0.03	16%	29 Aug →
mirage	5–13	-0.01	28%	29 Aug →
cache	13–1	-0.03	17%	29 Aug →
inferno	15–15	0.10	17%	29 Aug →
anubis	16–13	0.01	24%	29 Aug →
inferno	4–13	0.09	21%	28 Aug →
anubis	13–10	0.04	25%	28 Aug →
mirage	13–3	0.19	25%	28 Aug →
inferno	11–13	0.04	28%	28 Aug →
ancient	5–1	0.04	33%	28 Aug →
anubis	6–13	-0.07	13%	28 Aug →
ancient	13–4	-0.00	21%	28 Aug →
mirage	13–6	0.07	23%	28 Aug →
nuke	7–13	0.02	23%	15 Aug →
cache	5–13	0.07	35%	15 Aug →
mirage	14–16	0.00	14%	15 Aug →
mirage	6–13	0.05	15%	15 Aug →
ancient	13–9	-0.01	15%	15 Aug →
inferno	13–16	0.07	31%	15 Aug →
mirage	10–13	0.05	20%	15 Aug →
mirage	7–13	0.02	25%	15 Aug →
dust2	7–13	-0.01	16%	13 Aug →
anubis	1–13	-0.04	15%	13 Aug →
nuke	13–5	0.05	27%	12 Aug →
anubis	10–1	-0.00	43%	12 Aug →
inferno	11–13	0.08	18%	12 Aug →
ancient	4–13	-0.04	12%	12 Aug →
dust2	13–11	-0.02	27%	12 Aug →
nuke	13–11	0.03	20%	12 Aug →
anubis	14–16	0.01	28%	12 Aug →
anubis	3–13	0.00	28%	2 Aug →
inferno	7–13	-0.07	27%	2 Aug →
ancient	2–13	-0.05	29%	2 Aug →
cache	16–12	0.01	40%	2 Aug →
inferno	7–13	0.03	15%	2 Aug →
inferno	13–7	0.02	29%	2 Aug →
mirage	3–13	-0.08	19%	2 Aug →
inferno	10–13	0.03	24%	2 Aug →
inferno	13–10	0.09	24%	1 Aug →
cache	10–13	-0.03	30%	1 Aug →
mirage	13–9	0.07	30%	1 Aug →
mirage	6–13	-0.09	23%	30 Jul →
anubis	16–13	0.03	15%	30 Jul →
mirage	13–8	0.09	52%	30 Jul →
ancient	11–13	0.02	25%	30 Jul →
anubis	13–4	0.10	30%	28 Jul →
mirage	13–11	0.01	32%	28 Jul →
inferno	8–13	-0.07	29%	28 Jul →
anubis	11–13	0.06	29%	28 Jul →
mirage	13–9	0.06	48%	28 Jul →
anubis	13–2	0.02	22%	28 Jul →
ancient	13–11	0.00	35%	28 Jul →
ancient	13–11	0.01	18%	28 Jul →
mirage	13–9	0.01	28%	27 Jul →
inferno	13–7	-0.00	32%	27 Jul →
ancient	10–13	0.06	33%	27 Jul →
inferno	13–2	0.06	38%	27 Jul →
ancient	13–8	0.01	23%	27 Jul →
anubis	13–5	0.10	21%	25 Jul →
ancient	9–13	-0.03	25%	25 Jul →
anubis	11–13	-0.02	19%	25 Jul →
mirage	10–13	-0.00	31%	25 Jul →
inferno	13–6	0.06	27%	25 Jul →
cache	9–13	-0.01	28%	25 Jul →
ancient	13–16	0.07	32%	25 Jul →
mirage	13–3	0.05	24%	25 Jul →
mirage	7–13	0.05	27%	25 Jul →
mirage	7–13	0.01	19%	20 Jul →
anubis	13–10	0.01	22%	20 Jul →
ancient	12–16	-0.01	30%	20 Jul →
anubis	13–7	0.01	27%	20 Jul →
mirage	8–13	-0.02	46%	19 Jul →
mirage	6–13	0.01	35%	19 Jul →
ancient	13–8	0.03	22%	19 Jul →
ancient	1–13	-0.03	26%	11 Jul →
anubis	5–13	0.01	57%	11 Jul →
mirage	11–13	0.09	25%	11 Jul →
anubis	13–11	0.04	21%	11 Jul →
ancient	2–13	-0.06	18%	11 Jul →
cache	13–10	0.06	39%	10 Jul →
inferno	13–7	0.01	35%	10 Jul →
nuke	8–13	0.04	26%	10 Jul →
inferno	13–3	0.10	42%	10 Jul →
ancient	7–13	-0.06	36%	10 Jul →
cache	8–13	0.10	24%	9 Jul →
ancient	13–3	0.02	25%	9 Jul →
anubis	13–8	0.05	32%	9 Jul →
mirage	13–9	0.05	47%	9 Jul →
ancient	16–13	0.05	22%	9 Jul →
eldorado	8–8	0.13	25%	9 Jul →
mirage	2–13	-0.03	37%	9 Jul →