Sissi-Repa — CS2 Stats

76561198202875203[U:1:242609475]Steam profile ↗✓ No bans

1,061Tracked matches47%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 9 · 1,977 ELOTop 20.7% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73

Positioning66

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateLWWLLWWLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim7.3

Aggression8.3

Utility7.7

Positioning6.6

Opening Duels4.0

Clutch2.6

Strong CT-side openerEffective flashesHigh utility contribution

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 jL 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 27% 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

Aim7.3

Positioning6.6

Utility7.7

Mechanics7.4

Opening Duels4.4

Win Impact3.9

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time535ms−57ms

first ⅓ avg 591ms → last ⅓ avg 535ms

Headshot accuracy17.3%+2.2%

first ⅓ avg 15.1% → last ⅓ avg 17.3%

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

0.14Best rating — inferno 13–6

13–1Biggest win — inferno

7Longest win streak

6–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 63% over 8nukeWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	51	28–23	55%	0.02
inferno	A	26	16–10	62%	0.02
nuke	C	9	4–5	44%	0.01
dust2	A	8	5–3	63%	0.02
anubis	—	2	1–1	50%	0.01
cache	—	2	0–2	0%	-0.05
ancient	—	1	0–1	0%	0.02
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

710Matches

51%Win rate

1.21Avg K/D

82.1ADR

40%Headshot %

Clutches & streaks

33%1v1 clutch win

18%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	199	53%	1.08	16.3
Inferno	137	57%	1.15	15.9
Nuke	96	54%	1.38	17.1
Anubis	60	48%	1.21	17.0
Dust2	28	32%	1.02	15.4
Overpass	22	45%	0.95	13.6
Ancient	4	75%	1.30	21.5
Train	3	33%	1.10	17.3

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.

18.4%Headshot accuracy

31.9%Accuracy (enemy spotted)

33.1%Spray accuracy

83.3%Counter-strafing

9.4°Preaim

519msReaction time

26.9%T opening success

65.2%CT opening success

0.74Enemies flashed / flash

13.2%Flash assists

14.11HE damage / grenade

17.02Flashes / 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 26.8974% — 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.

44% win rate across 9 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
ancient	11–13	0.02	21%	30 Aug →
inferno	13–6	0.11	28%	30 Aug →
anubis	13–10	0.03	13%	30 Aug →
nuke	5–13	0.04	19%	30 Aug →
mirage	5–13	-0.04	17%	30 Aug →
mirage	13–10	-0.01	16%	28 Aug →
mirage	13–9	0.04	16%	27 Aug →
mirage	9–13	0.01	10%	27 Aug →
mirage	9–13	0.08	16%	27 Aug →
mirage	10–13	-0.03	12%	27 Aug →
mirage	8–13	0.05	26%	25 Aug →
mirage	13–2	0.05	19%	25 Aug →
mirage	8–13	0.01	14%	24 Aug →
anubis	7–13	-0.01	23%	24 Aug →
mirage	8–13	0.06	18%	24 Aug →
nuke	1–13	-0.08	5%	18 Aug →
mirage	13–11	0.00	17%	18 Aug →
inferno	13–7	0.01	23%	18 Aug →
dust2	3–13	-0.08	15%	17 Aug →
nuke	13–4	0.05	22%	17 Aug →
inferno	9–13	0.01	14%	17 Aug →
nuke	8–13	0.04	21%	17 Aug →
inferno	13–9	0.01	35%	21 Jul →
inferno	13–10	0.03	25%	20 Jul →
inferno	3–13	0.08	18%	20 Jul →
mirage	13–2	0.03	15%	20 Jul →
inferno	7–0	-0.03	0%	28 Jun →
dust2	9–3	0.05	24%	28 Jun →
mirage	13–9	0.11	21%	28 Jun →
inferno	12–16	-0.05	16%	6 Jun →
nuke	5–13	-0.08	7%	25 May →
mirage	8–13	-0.03	13%	24 May →
mirage	7–13	-0.06	11%	22 May →
dust2	13–11	0.10	18%	14 May →
dust2	13–16	-0.01	17%	11 May →
nuke	9–5	0.13	5%	10 May →
inferno	13–10	0.03	12%	10 May →
nuke	13–2	-0.01	9%	9 May →
cache	12–12	-0.05	6%	6 May →
cache	4–13	-0.06	9%	6 May →
dust2	13–6	0.01	9%	4 May →
inferno	13–10	0.04	10%	4 May →
mirage	12–12	0.03	9%	25 Apr →
mirage	13–11	0.04	17%	25 Apr →
mirage	7–13	-0.02	13%	25 Apr →
mirage	13–9	-0.05	20%	25 Apr →
mirage	13–4	0.10	26%	25 Apr →
mirage	13–4	-0.06	11%	25 Apr →
nuke	13–8	0.00	10%	20 Apr →
inferno	13–8	-0.02	19%	19 Apr →
mirage	13–9	0.01	23%	19 Apr →
inferno	13–2	-0.03	15%	16 Apr →
dust2	14–16	0.03	14%	13 Apr →
inferno	14–16	-0.05	15%	13 Apr →
inferno	19–17	0.04	16%	12 Apr →
dust2	13–9	0.01	14%	12 Apr →
mirage	12–12	-0.02	18%	11 Apr →
mirage	1–13	-0.05	21%	11 Apr →
mirage	7–13	-0.02	23%	11 Apr →
inferno	3–13	-0.05	5%	9 Apr →
mirage	6–13	0.03	18%	9 Apr →
inferno	9–13	-0.02	9%	9 Apr →
mirage	13–9	0.04	14%	9 Apr →
mirage	13–4	-0.01	27%	9 Apr →
mirage	13–4	0.04	15%	9 Apr →
mirage	10–13	0.10	16%	7 Apr →
overpass	4–13	-0.02	13%	7 Apr →
inferno	13–11	-0.04	15%	6 Apr →
inferno	13–1	0.10	11%	6 Apr →
mirage	13–10	0.01	12%	6 Apr →
mirage	3–13	0.02	22%	6 Apr →
mirage	13–10	0.01	11%	6 Apr →
mirage	13–3	0.02	18%	6 Apr →
mirage	13–9	-0.01	16%	6 Apr →
mirage	8–13	-0.01	10%	6 Apr →
inferno	13–6	0.08	17%	5 Apr →
inferno	13–4	0.08	27%	5 Apr →
mirage	11–13	-0.00	15%	5 Apr →
mirage	13–3	-0.02	19%	5 Apr →
mirage	13–5	-0.01	7%	5 Apr →
mirage	13–11	0.12	8%	5 Apr →
mirage	13–10	0.02	12%	5 Apr →
mirage	6–13	0.08	21%	5 Apr →
inferno	13–7	0.03	11%	4 Apr →
inferno	12–12	0.09	19%	4 Apr →
inferno	12–12	0.07	28%	4 Apr →
inferno	13–6	0.14	22%	4 Apr →
mirage	8–13	-0.06	18%	4 Apr →
mirage	12–12	0.04	10%	3 Apr →
mirage	13–9	0.08	14%	3 Apr →
mirage	13–4	0.05	24%	3 Apr →
mirage	12–12	0.02	12%	3 Apr →
mirage	13–9	0.06	19%	3 Apr →
mirage	13–3	0.09	17%	3 Apr →
mirage	13–4	0.06	20%	3 Apr →
mirage	13–6	0.01	8%	3 Apr →
inferno	13–16	-0.01	3%	31 Mar →
nuke	10–13	-0.02	14%	31 Mar →
dust2	13–8	0.04	15%	30 Mar →
inferno	8–13	-0.05	5%	30 Mar →