Tschmiki — CS2 Stats

76561198205165605[U:1:244899877]Steam profile ↗

1,501Tracked matches59%Win rate2020Tracked since

CSDB Rating5.5 SolidPassive Rifler

FaceitLevel 10 · 1,727 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning39

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWLWLWLWLLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim7.6

Aggression3.7

Utility5.3

Positioning3.9

Opening Duels0.3

Clutch3.4

Strong CT-side openerLimited utility dependence

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 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Aim7.6

Positioning3.9

Utility5.3

Mechanics6.5

Opening Duels1.2

Win Impact7.9

Composite 5.5/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time555ms−9ms

first ⅓ avg 564ms → last ⅓ avg 555ms

Headshot accuracy20.7%+0.2%

first ⅓ avg 20.4% → last ⅓ avg 20.7%

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

0.12Best rating — anubis 13–2

13–2Biggest win — anubis

7Longest win streak

7–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

overpassBest map · 63% over 8ancientWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	14–14	50%	0.00
dust2	B	22	11–11	50%	-0.01
ancient	B	13	6–7	46%	-0.02
nuke	A	11	6–5	55%	-0.01
mirage	A	9	5–4	56%	0.01
overpass	A	8	5–3	63%	0.02
anubis	A	5	3–2	60%	0.00
cache	—	3	1–2	33%	0.02
vertigo	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,091Matches

52%Win rate

1.06Avg K/D

77.7ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	51	51%	0.93	14.8
Ancient	44	61%	0.96	15.4
Inferno	40	60%	1.08	16.8
Overpass	28	64%	0.98	14.2
Mirage	25	36%	1.05	18.0
Nuke	16	44%	0.79	14.8
Anubis	14	50%	1.15	17.9
Vertigo	7	14%	1.06	16.6

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.

21.6%Headshot accuracy

30.7%Accuracy (enemy spotted)

33.4%Spray accuracy

79.4%Counter-strafing

7.1°Preaim

553msReaction time

22.5%T opening success

39.7%CT opening success

0.63Enemies flashed / flash

18.5%Flash assists

13.36HE damage / grenade

2.43Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.432 — below the 4 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 22.5265% — below the 40% mark we flag

Spend your practice time on Ancient

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–5	-0.01	15%	28 Aug →
cache	11–13	0.01	20%	24 Aug →
dust2	13–3	0.08	23%	24 Aug →
dust2	7–13	-0.07	16%	21 Aug →
inferno	13–5	-0.07	20%	21 Aug →
ancient	10–13	-0.09	19%	26 Jul →
cache	13–10	-0.00	35%	26 Jul →
anubis	11–13	-0.11	10%	26 Jul →
inferno	9–13	-0.01	23%	10 Jul →
mirage	1–13	-0.09	43%	10 Jul →
inferno	13–9	0.03	25%	10 Jul →
nuke	13–4	0.11	17%	9 Jul →
nuke	10–1	-0.13	24%	9 Jul →
inferno	13–9	0.01	15%	9 Jul →
inferno	11–13	0.01	22%	5 Jul →
nuke	10–13	-0.06	36%	5 Jul →
ancient	13–9	-0.02	17%	5 Jul →
dust2	13–7	-0.00	18%	5 Jul →
inferno	13–5	0.06	13%	5 Jul →
overpass	13–8	0.01	17%	5 Jul →
mirage	13–7	0.05	21%	5 Jul →
dust2	10–13	-0.04	21%	3 Jul →
dust2	10–13	-0.02	25%	3 Jul →
nuke	5–13	0.02	26%	3 Jul →
dust2	13–5	0.03	20%	2 Jul →
inferno	13–10	0.02	36%	2 Jul →
inferno	13–9	-0.01	14%	1 Jul →
ancient	10–13	-0.05	21%	30 Jun →
dust2	16–14	-0.01	24%	30 Jun →
overpass	15–15	0.04	17%	30 Jun →
anubis	13–10	-0.02	12%	29 Jun →
inferno	5–13	-0.03	4%	29 Jun →
dust2	5–13	0.02	16%	29 Jun →
mirage	13–8	0.02	22%	29 Jun →
inferno	8–13	0.06	21%	28 Jun →
nuke	13–11	0.02	27%	28 Jun →
ancient	13–11	-0.01	12%	28 Jun →
dust2	13–4	0.06	17%	27 Jun →
dust2	13–6	-0.04	15%	27 Jun →
inferno	13–6	0.09	21%	27 Jun →
ancient	13–5	-0.07	7%	27 Jun →
nuke	13–10	0.01	20%	27 Jun →
dust2	6–13	-0.03	18%	27 Jun →
overpass	14–16	-0.00	11%	27 Jun →
inferno	13–7	-0.07	14%	27 Jun →
inferno	8–13	0.04	21%	26 Jun →
inferno	13–10	-0.03	10%	26 Jun →
dust2	13–16	-0.01	25%	26 Jun →
overpass	7–0	0.11	54%	26 Jun →
mirage	9–13	0.00	21%	21 Jun →
inferno	13–11	-0.03	19%	21 Jun →
ancient	13–7	0.12	17%	21 Jun →
overpass	13–16	-0.01	15%	21 Jun →
ancient	13–7	0.02	19%	21 Jun →
mirage	5–13	-0.04	20%	21 Jun →
dust2	10–13	-0.07	30%	21 Jun →
ancient	6–13	-0.05	12%	21 Jun →
inferno	6–13	-0.02	36%	21 Jun →
mirage	11–13	-0.03	19%	21 Jun →
dust2	16–13	0.03	21%	12 Jun →
inferno	13–16	-0.05	18%	12 Jun →
inferno	16–14	0.04	12%	12 Jun →
nuke	13–8	-0.05	15%	12 Jun →
dust2	13–8	0.09	30%	10 Jun →
inferno	15–15	0.00	11%	9 Jun →
anubis	9–13	0.00	5%	9 Jun →
ancient	11–13	-0.08	9%	8 Jun →
dust2	13–7	0.01	15%	8 Jun →
mirage	13–3	0.08	13%	7 Jun →
dust2	13–7	0.04	18%	7 Jun →
overpass	13–6	0.01	21%	7 Jun →
ancient	13–5	0.08	14%	7 Jun →
overpass	13–11	0.04	26%	7 Jun →
ancient	11–13	-0.07	22%	7 Jun →
inferno	6–13	-0.02	20%	6 Jun →
overpass	16–14	-0.01	20%	5 Jun →
inferno	7–13	-0.03	18%	5 Jun →
inferno	11–13	-0.02	16%	31 May →
anubis	13–9	0.03	23%	31 May →
mirage	13–6	0.02	20%	30 May →
ancient	8–13	-0.01	31%	29 May →
dust2	7–13	-0.07	23%	29 May →
anubis	13–2	0.12	19%	29 May →
inferno	7–13	-0.01	26%	27 May →
inferno	13–4	0.08	27%	26 May →
cache	11–13	0.05	13%	25 May →
vertigo	8–8	0.03	23%	25 May →
mirage	13–8	0.07	25%	25 May →
nuke	9–13	-0.08	11%	25 May →
ancient	7–13	-0.02	20%	25 May →
dust2	13–16	-0.04	34%	23 May →
dust2	9–13	-0.04	20%	23 May →
inferno	8–13	-0.03	20%	22 May →
nuke	10–13	0.03	16%	19 May →
nuke	15–15	-0.01	28%	19 May →
inferno	13–2	0.09	24%	19 May →
dust2	9–13	-0.04	24%	18 May →
nuke	13–10	0.04	15%	18 May →
inferno	13–9	-0.05	13%	18 May →
inferno	11–13	0.04	17%	15 May →