seizha — CS2 Stats

76561198020107992[U:1:59842264]Steam profile ↗✓ No bans

1,989Tracked matches62%Win rate2020Tracked since

7,108Hours in CS5Hrs last 2 wks

CSDB Rating7.6 StrongEntry Fragger

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim88

Positioning72

Utility64

0–100 skill scores via Leetify.

Recent form

HOT49–43–8Last 10049%Win rateWWWWWLLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.8

Aggression10.0

Utility6.4

Positioning7.2

Opening Duels6.6

Clutch4.2

Sharp aimerStrong 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 s1mple 96% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.4° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 72% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.8

Positioning7.2

Utility6.4

Mechanics6.1

Opening Duels6.3

Win Impact9.0

Composite 7.6/10 (Strong), 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 rating0.05+0.00

first ⅓ avg 0.05 → last ⅓ avg 0.05

Reaction time511ms−7ms

first ⅓ avg 518ms → last ⅓ avg 511ms

Headshot accuracy17.9%−4.5%

first ⅓ avg 22.5% → last ⅓ avg 17.9%

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

0.19Best rating — vertigo 12–12

13–1Biggest win — train

6Longest win streak

W5Current streak

7–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

trainBest map · 80% over 5mirageWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	14	7–7	50%	0.05
ancient	D	12	4–8	33%	0.03
dust2	C	11	4–7	36%	0.03
office	A	11	7–4	64%	0.03
mirage	D	9	2–7	22%	0.04
vertigo	A	9	5–4	56%	0.07
inferno	C	7	3–4	43%	0.06
nuke	S	7	5–2	71%	0.09
overpass	A	7	4–3	57%	0.02
train	S	5	4–1	80%	0.10
anubis	—	4	0–4	0%	0.04
alpine	—	2	2–0	100%	0.09
boulder	—	1	1–0	100%	0.03
warden	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

229,943Lifetime kills

1.25K/D · Top 25% of tracked players

7,531Matches

53.9%Match win rate · Top 10% of tracked players

52.3%Headshot % · Top 25% of tracked players

19.8%Shot accuracy · Top 5% of tracked players

32,142MVPs

4,502Hours (in match)

7,310Bombs planted

2,619Bombs defused

Most-used weapons

AK-4796,260

M4A4 / M4A1-S41,854

AWP15,371

P2000 / USP-S13,060

Desert Eagle9,175

Glock-188,483

FAMAS7,427

P2504,731

MAC-104,669

Knife4,337

Lifetime map wins

14,312inferno

11,276dust2

4,895train

4,776nuke

4,414cbble

2,436vertigo

843office

149italy

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

Faceit stats

Combat

2,519Matches

56%Win rate

1.29Avg K/D

96.5ADR

49%Headshot %

Clutches & streaks

41%1v1 clutch win

32%1v2 clutch win

16Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	156	63%	1.38	19.3
Anubis	104	54%	1.39	18.0
Inferno	70	60%	1.36	18.8
Mirage	62	47%	1.20	17.9
Dust2	52	58%	1.20	17.4
Nuke	48	58%	1.50	19.8
Overpass	21	57%	1.33	16.5
Train	20	65%	1.29	20.1

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.

17.5%Headshot accuracy

44.6%Accuracy (enemy spotted)

50.1%Spray accuracy

77.4%Counter-strafing

11.4°Preaim

511msReaction time

40.1%T opening success

72.3%CT opening success

0.67Enemies flashed / flash

7.2%Flash assists

8.64HE damage / grenade

9.81Flashes / match

Recommended for you

Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–7	0.06	14%	29 Aug →
cache	13–10	-0.02	14%	26 Aug →
train	13–8	0.06	20%	22 Aug →
train	13–4	0.12	16%	18 Aug →
train	13–1	0.12	27%	16 Aug →
ancient	7–13	0.06	33%	16 Aug →
dust2	7–13	0.07	22%	16 Aug →
dust2	13–11	-0.04	15%	15 Aug →
cache	13–2	0.09	19%	15 Aug →
dust2	16–13	0.05	15%	15 Aug →
ancient	13–5	0.12	17%	15 Aug →
inferno	13–3	0.14	25%	15 Aug →
dust2	8–13	0.01	18%	15 Aug →
cache	11–13	0.09	19%	9 Aug →
mirage	5–13	0.02	14%	9 Aug →
cache	13–10	0.06	17%	8 Aug →
ancient	13–5	-0.01	24%	8 Aug →
vertigo	13–6	0.11	23%	29 Jul →
vertigo	13–11	0.00	15%	29 Jul →
anubis	8–13	-0.05	7%	24 Jul →
nuke	13–5	0.18	20%	24 Jul →
ancient	8–13	-0.01	14%	24 Jul →
office	12–12	0.03	19%	20 Jul →
nuke	10–13	0.07	9%	19 Jul →
inferno	4–13	0.06	13%	19 Jul →
boulder	13–6	0.03	21%	15 Jul →
mirage	6–13	0.04	15%	15 Jul →
office	13–3	0.11	18%	10 Jul →
office	5–13	-0.08	14%	9 Jul →
ancient	13–11	0.05	16%	4 Jul →
cache	12–12	0.08	19%	2 Jul →
dust2	13–4	0.16	22%	29 Jun →
cache	12–12	0.02	16%	25 Jun →
dust2	13–8	-0.04	21%	23 Jun →
dust2	9–12	-0.03	14%	21 Jun →
inferno	10–13	0.10	21%	21 Jun →
ancient	11–13	-0.00	24%	20 Jun →
nuke	13–8	0.11	23%	20 Jun →
inferno	11–13	0.00	18%	20 Jun →
ancient	0–5	-0.05	0%	19 Jun →
mirage	8–13	0.06	14%	19 Jun →
inferno	13–7	0.00	23%	19 Jun →
mirage	4–13	-0.05	14%	19 Jun →
train	6–13	0.11	29%	17 Jun →
train	13–11	0.08	23%	17 Jun →
cache	7–13	-0.03	24%	5 Jun →
vertigo	13–11	0.07	30%	3 Jun →
anubis	10–13	0.02	24%	2 Jun →
office	10–13	0.05	31%	31 May →
anubis	9–13	0.12	10%	27 May →
cache	12–12	0.00	12%	24 May →
cache	12–12	0.07	27%	23 May →
cache	13–8	0.02	19%	22 May →
office	13–10	0.04	23%	14 May →
office	5–13	0.05	27%	14 May →
cache	3–13	-0.00	23%	9 May →
cache	13–3	0.18	29%	6 May →
office	13–10	-0.01	23%	4 May →
cache	13–6	0.12	28%	29 Apr →
office	13–8	0.08	15%	28 Apr →
dust2	7–13	-0.03	15%	23 Apr →
vertigo	12–12	0.19	24%	21 Apr →
vertigo	11–13	0.06	22%	20 Apr →
nuke	13–10	0.06	31%	18 Apr →
office	13–7	0.01	11%	14 Apr →
vertigo	7–13	0.07	18%	11 Apr →
vertigo	13–7	0.01	20%	11 Apr →
anubis	12–12	0.08	29%	2 Apr →
ancient	0–3	0.05	33%	2 Apr →
mirage	4–13	0.03	12%	27 Mar →
nuke	10–13	0.05	24%	26 Mar →
dust2	10–13	0.01	27%	25 Mar →
mirage	5–13	0.05	26%	23 Mar →
inferno	11–13	0.01	23%	22 Mar →
dust2	14–16	0.04	25%	19 Mar →
office	13–10	0.08	30%	18 Mar →
office	13–5	0.03	22%	18 Mar →
overpass	5–13	0.02	23%	14 Mar →
overpass	13–3	0.07	31%	12 Mar →
overpass	3–13	-0.10	10%	12 Mar →
ancient	13–16	0.07	15%	8 Mar →
ancient	6–13	-0.05	17%	7 Mar →
nuke	13–11	0.12	20%	2 Mar →
dust2	4–13	0.10	24%	2 Mar →
overpass	6–13	-0.03	17%	28 Feb →
inferno	5–0	0.14	29%	27 Feb →
overpass	13–4	0.08	21%	27 Feb →
ancient	13–11	0.09	29%	21 Feb →
overpass	13–10	0.10	16%	15 Feb →
vertigo	13–8	0.07	14%	13 Feb →
mirage	13–8	0.09	16%	11 Feb →
vertigo	5–13	0.05	16%	11 Feb →
overpass	13–6	0.01	26%	10 Feb →
mirage	13–5	0.06	20%	9 Feb →
warden	13–10	0.11	25%	8 Feb →
alpine	13–5	0.04	31%	8 Feb →
ancient	5–13	0.01	17%	3 Feb →
alpine	13–1	0.13	37%	1 Feb →
nuke	13–7	0.02	14%	1 Feb →
mirage	12–12	0.01	21%	1 Feb →