Schimanski — CS2 Stats

CG76561198086047356[U:1:125781628]Steam profile ↗

3,082Tracked matches60%Win rate2021Tracked since

CSDB Rating5.4 DevelopingPassive Rifler

Premier CS Rating20,000Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#18309 of 47504 tracked

FaceitLevel 8 · 1,635 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning39

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateWLLLLWLWWW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.1

Aggression3.4

Utility6.7

Positioning3.9

Opening Duels0.9

Clutch4.0

Strong 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 NiKo 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 41% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim6.1

Positioning3.9

Utility6.7

Mechanics4.6

Opening Duels1.4

Win Impact8.3

Composite 5.4/10 (Developing), 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 rating-0.03−0.03

first ⅓ avg -0.00 → last ⅓ avg -0.03

Reaction time611ms+11ms

first ⅓ avg 600ms → last ⅓ avg 611ms

Headshot accuracy16.9%+2.0%

first ⅓ avg 14.9% → last ⅓ avg 16.9%

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

0.11Best rating — anubis 13–0

13–0Biggest win — anubis

8Longest win streak

8–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 89% over 9mirageWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	26	17–9	65%	-0.01
mirage	D	21	7–14	33%	-0.02
ancient	S	17	12–5	71%	-0.02
cache	A	15	9–6	60%	-0.03
anubis	S	9	8–1	89%	0.00
dust2	A	7	4–3	57%	-0.02
nuke	—	2	0–2	0%	-0.03
overpass	—	2	1–1	50%	-0.05
shelter	—	1	0–1	0%	-0.14

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

236Matches

57%Win rate

0.91Avg K/D

71.3ADR

44%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	72	43%	0.80	11.8
Inferno	58	72%	1.03	14.3
Ancient	45	64%	0.90	13.6
Anubis	28	61%	0.95	14.0
Dust2	9	44%	0.96	14.3
Vertigo	7	57%	0.83	13.3
Overpass	6	67%	0.77	13.2
Cache	4	25%	0.89	18.0

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.

17.4%Headshot accuracy

34.6%Accuracy (enemy spotted)

40.9%Spray accuracy

70.7%Counter-strafing

10.4°Preaim

613msReaction time

25.7%T opening success

41.2%CT opening success

0.68Enemies flashed / flash

6.5%Flash assists

12.02HE damage / grenade

10.46Flashes / 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 25.6574% — below the 40% mark we flag

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.

33% win rate across 21 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
ancient	13–9	-0.01	17%	28 Aug →
inferno	11–13	-0.04	19%	28 Aug →
mirage	8–13	-0.01	25%	26 Aug →
inferno	8–13	-0.01	22%	26 Aug →
inferno	4–13	-0.03	15%	24 Aug →
inferno	13–7	0.01	43%	24 Aug →
mirage	9–13	-0.04	14%	23 Aug →
inferno	13–8	-0.05	11%	23 Aug →
dust2	13–11	-0.06	11%	23 Aug →
ancient	13–10	-0.03	17%	23 Aug →
ancient	19–17	-0.02	24%	21 Aug →
inferno	13–5	-0.05	9%	21 Aug →
anubis	13–11	0.03	13%	17 Aug →
ancient	13–9	0.05	19%	17 Aug →
inferno	13–10	-0.00	11%	16 Aug →
nuke	11–13	-0.03	21%	16 Aug →
cache	17–19	-0.04	20%	16 Aug →
anubis	13–9	-0.01	22%	16 Aug →
ancient	13–4	-0.05	13%	16 Aug →
cache	6–13	-0.10	27%	16 Aug →
ancient	10–13	-0.04	15%	13 Aug →
ancient	13–10	-0.03	5%	9 Aug →
ancient	11–13	-0.03	11%	9 Aug →
inferno	13–8	0.01	18%	9 Aug →
mirage	3–13	-0.02	13%	9 Aug →
inferno	13–11	-0.09	12%	9 Aug →
inferno	13–9	0.01	21%	7 Aug →
cache	13–8	-0.04	16%	7 Aug →
overpass	8–13	-0.07	10%	7 Aug →
overpass	13–10	-0.03	25%	6 Aug →
ancient	9–13	0.01	20%	4 Aug →
cache	9–13	-0.08	11%	2 Aug →
anubis	13–5	-0.09	11%	2 Aug →
inferno	13–7	-0.00	10%	2 Aug →
mirage	13–5	-0.01	8%	2 Aug →
mirage	15–15	0.00	20%	2 Aug →
cache	3–13	-0.06	16%	2 Aug →
ancient	13–6	-0.05	23%	2 Aug →
inferno	16–14	0.03	21%	1 Aug →
ancient	8–13	-0.07	17%	30 Jul →
cache	13–7	-0.05	17%	30 Jul →
ancient	13–8	-0.06	13%	30 Jul →
inferno	19–15	0.04	22%	24 Jul →
nuke	11–13	-0.03	10%	24 Jul →
mirage	8–13	-0.04	8%	24 Jul →
anubis	10–13	-0.03	11%	23 Jul →
cache	9–13	-0.03	14%	23 Jul →
ancient	7–13	-0.05	15%	21 Jul →
dust2	5–13	-0.07	29%	20 Jul →
mirage	2–13	-0.07	7%	20 Jul →
inferno	8–8	0.09	27%	20 Jul →
inferno	13–10	0.06	19%	20 Jul →
mirage	13–3	0.05	15%	20 Jul →
cache	13–2	-0.01	15%	20 Jul →
shelter	0–3	-0.14	0%	20 Jul →
dust2	13–6	0.08	16%	19 Jul →
mirage	8–13	-0.04	9%	19 Jul →
anubis	13–5	0.03	6%	19 Jul →
mirage	7–13	-0.11	5%	19 Jul →
ancient	13–9	-0.03	17%	19 Jul →
inferno	10–13	-0.08	7%	16 Jul →
inferno	13–3	-0.00	6%	16 Jul →
cache	13–4	0.04	10%	16 Jul →
mirage	13–10	0.01	20%	16 Jul →
dust2	6–13	-0.04	16%	15 Jul →
inferno	13–5	0.03	16%	14 Jul →
dust2	13–16	-0.08	6%	14 Jul →
mirage	9–13	-0.02	19%	14 Jul →
anubis	13–0	0.11	12%	14 Jul →
mirage	5–13	0.02	14%	14 Jul →
cache	13–7	-0.01	11%	14 Jul →
anubis	13–8	-0.02	16%	12 Jul →
inferno	5–13	-0.05	13%	12 Jul →
inferno	13–0	-0.02	7%	12 Jul →
ancient	13–6	0.03	13%	12 Jul →
mirage	4–13	-0.03	10%	12 Jul →
mirage	1–13	-0.08	15%	12 Jul →
inferno	13–11	-0.01	15%	12 Jul →
inferno	10–13	0.03	12%	12 Jul →
dust2	13–6	0.00	13%	12 Jul →
mirage	6–13	0.02	11%	12 Jul →
cache	13–5	-0.03	21%	10 Jul →
ancient	13–7	0.02	7%	9 Jul →
ancient	16–13	0.01	16%	9 Jul →
inferno	7–13	-0.01	14%	9 Jul →
mirage	16–14	-0.00	14%	9 Jul →
inferno	2–13	0.00	13%	9 Jul →
cache	13–2	-0.02	19%	9 Jul →
mirage	13–10	-0.00	8%	8 Jul →
anubis	16–14	0.01	10%	7 Jul →
anubis	13–9	0.01	15%	7 Jul →
mirage	13–6	0.04	15%	7 Jul →
cache	19–16	0.01	20%	6 Jul →
cache	13–6	0.03	12%	5 Jul →
mirage	13–6	-0.00	26%	4 Jul →
cache	11–13	-0.01	23%	4 Jul →
mirage	11–13	-0.02	20%	4 Jul →
dust2	13–6	0.03	24%	4 Jul →
inferno	13–5	0.00	17%	4 Jul →
inferno	13–10	-0.10	18%	4 Jul →