BetOnMischa — CS2 Stats

DE76561197993858874[U:1:33593146]Steam profile ↗✓ No bans

3,749Tracked matches41%Win rate2021Tracked since

CSDB Rating5.9 SolidSupport

Premier CS Rating20,307Top 50% of 194,975 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)

CSDB Leaderboard#74088 of 242650 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+634Premier CS Rating · 19,673 → 20,307

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 16 days played since 30 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,307 -3,845 30 Aug – 24 Sept · 18 days played

26,467Peak Premier in tracked matches

16Days played since 2026-08-30

Premier CS Rating

5,831 below peak (26,138)
-3,845 over 30 days · declining
Next: Red band at 25,000 — 4,693 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-31
Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim79

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateLWLWLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −4.0pp headshot accuracy · +30ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 484ms

Last 10

6–4 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 539ms

Last 20

8–11–1 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 524ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim7.9

Utility5.8

Positioning5.4

Opening Duels2.1

Clutch4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like device 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.9

Positioning5.4

Utility5.8

Mechanics6.1

Opening Duels3.0

Win Impact2.1

Composite 5.9/10 (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 rating-0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time526ms+14ms

first ⅓ avg 512ms → last ⅓ avg 526ms

Headshot accuracy17.2%−1.0%

first ⅓ avg 18.2% → last ⅓ avg 17.2%

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.

Personal bests

0.13Best match rating · 13–6 · inferno, 15 Sept →

31%Best headshot accuracy · 13–7 · ancient, 20 Sept →

313msFastest reaction time · 3–13 · inferno, 20 Sept →

13–3Biggest win · anubis, 24 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

7–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 80% over 5anubisWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	35	14–21	40%	-0.00
dust2	C	25	11–14	44%	-0.00
ancient	C	17	7–10	41%	0.01
anubis	D	13	4–9	31%	0.02
nuke	S	5	4–1	80%	0.03
cache	—	4	1–3	25%	-0.02
mirage	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

296Matches

54%Win rate

1.10Avg K/D

79.4ADR

49%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	81	51%	1.08	15.2
Inferno	80	56%	1.06	15.5
Anubis	57	44%	1.17	15.4
Ancient	48	62%	1.11	16.3
Cache	18	61%	1.05	15.8
Nuke	6	83%	1.10	17.7
Mirage	4	50%	1.08	12.0
Overpass	1	100%	1.71	12.0

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.

17.2%Headshot accuracy

34.7%Accuracy (enemy spotted)

40.7%Spray accuracy

77.4%Counter-strafing

7.9°Preaim

526msReaction time

38.8%T opening success

45.6%CT opening success

0.49Enemies flashed / flash

3.8%Flash assists

10.00HE damage / grenade

7.45Flashes / 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.

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 0.4917 — 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 38.7923% — below the 40% mark we flag

Spend your practice time on Anubis

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.01	16%	24 Sept →
anubis	13–3	0.10	14%	24 Sept →
dust2	13–16	-0.01	20%	24 Sept →
inferno	13–11	0.01	14%	24 Sept →
nuke	14–16	-0.01	11%	24 Sept →
ancient	13–9	0.06	23%	24 Sept →
cache	13–9	-0.02	21%	24 Sept →
mirage	10–13	-0.01	16%	23 Sept →
nuke	13–11	0.00	13%	23 Sept →
inferno	13–6	-0.03	15%	22 Sept →
anubis	6–13	-0.11	18%	22 Sept →
inferno	13–8	0.02	24%	22 Sept →
inferno	13–4	0.04	26%	22 Sept →
anubis	10–13	0.05	9%	22 Sept →
dust2	4–13	-0.11	27%	22 Sept →
inferno	8–8	-0.04	16%	22 Sept →
dust2	11–13	-0.04	26%	22 Sept →
ancient	8–13	0.08	10%	22 Sept →
anubis	8–13	0.08	23%	22 Sept →
dust2	8–13	-0.06	24%	22 Sept →
ancient	3–13	-0.00	9%	22 Sept →
inferno	13–5	-0.05	14%	21 Sept →
anubis	9–13	-0.06	16%	21 Sept →
dust2	5–13	-0.04	15%	21 Sept →
inferno	13–5	-0.07	19%	21 Sept →
inferno	5–13	-0.02	6%	21 Sept →
anubis	15–15	0.02	17%	21 Sept →
dust2	6–13	-0.09	15%	21 Sept →
dust2	13–5	0.05	15%	21 Sept →
dust2	13–4	0.08	26%	21 Sept →
dust2	9–13	-0.02	18%	21 Sept →
dust2	4–13	-0.06	15%	21 Sept →
ancient	16–13	0.07	19%	20 Sept →
inferno	9–13	-0.04	20%	20 Sept →
dust2	13–8	0.01	20%	20 Sept →
inferno	3–13	-0.07	23%	20 Sept →
inferno	7–13	-0.06	21%	20 Sept →
dust2	16–12	0.06	27%	20 Sept →
ancient	13–7	0.06	31%	20 Sept →
inferno	8–13	-0.04	23%	19 Sept →
ancient	13–6	0.04	18%	19 Sept →
anubis	11–13	-0.06	15%	19 Sept →
dust2	13–9	0.05	25%	18 Sept →
inferno	16–13	0.04	15%	18 Sept →
inferno	9–13	0.03	16%	18 Sept →
inferno	7–13	-0.06	22%	18 Sept →
anubis	11–13	0.04	21%	18 Sept →
dust2	13–4	0.03	14%	18 Sept →
anubis	4–13	0.01	17%	18 Sept →
dust2	8–13	0.05	23%	18 Sept →
dust2	4–13	-0.03	26%	17 Sept →
inferno	13–16	0.01	20%	17 Sept →
anubis	13–4	0.05	21%	17 Sept →
dust2	9–13	-0.04	19%	17 Sept →
ancient	10–13	-0.04	22%	17 Sept →
ancient	15–15	-0.04	18%	15 Sept →
dust2	13–8	-0.02	28%	15 Sept →
inferno	10–13	0.01	20%	15 Sept →
ancient	15–15	0.04	18%	15 Sept →
inferno	13–6	0.13	28%	15 Sept →
dust2	11–13	0.00	18%	15 Sept →
inferno	9–13	0.02	11%	14 Sept →
dust2	10–13	0.00	20%	14 Sept →
dust2	13–11	0.01	22%	14 Sept →
inferno	8–2	0.05	17%	14 Sept →
dust2	13–9	-0.00	29%	14 Sept →
inferno	4–13	-0.03	21%	14 Sept →
ancient	4–13	-0.05	8%	14 Sept →
ancient	2–13	-0.05	25%	14 Sept →
inferno	13–11	0.01	22%	14 Sept →
inferno	13–10	0.02	29%	14 Sept →
inferno	8–13	-0.03	18%	13 Sept →
inferno	9–13	0.01	15%	13 Sept →
dust2	3–13	0.02	23%	13 Sept →
dust2	13–9	-0.01	17%	13 Sept →
dust2	13–11	0.05	25%	12 Sept →
inferno	9–13	-0.04	20%	11 Sept →
inferno	7–13	0.02	23%	11 Sept →
inferno	13–7	0.04	16%	11 Sept →
inferno	8–13	-0.04	15%	10 Sept →
ancient	13–9	0.01	14%	10 Sept →
inferno	8–13	0.09	19%	10 Sept →
anubis	11–13	-0.03	21%	10 Sept →
nuke	13–8	0.07	22%	10 Sept →
inferno	5–13	-0.04	8%	10 Sept →
cache	2–13	-0.02	16%	10 Sept →
anubis	13–7	0.05	18%	10 Sept →
cache	10–13	-0.03	14%	10 Sept →
inferno	6–13	-0.04	25%	9 Sept →
anubis	13–7	0.12	6%	9 Sept →
ancient	13–5	0.01	13%	9 Sept →
inferno	13–9	0.05	21%	9 Sept →
nuke	16–14	0.01	16%	9 Sept →
ancient	15–15	0.03	24%	9 Sept →
inferno	13–8	-0.00	23%	8 Sept →
cache	7–13	-0.01	22%	8 Sept →
nuke	13–3	0.05	21%	8 Sept →
ancient	4–13	-0.03	14%	8 Sept →
ancient	2–13	-0.07	14%	8 Sept →
ancient	16–14	0.00	12%	8 Sept →