Tirehtöööri tai Konduktööö — CS2 Stats

FI76561198007809079[U:1:47543351]Steam profile ↗✓ No bans

703Tracked matches67%Win rate2023Tracked since

CSDB Rating5.4 Developing

Ladder ranks via Leetify

Performance scores

Aim54

Positioning49

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateWWWWWLLLTL

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

Player DNA

Aim5.4

Aggression6.7

Utility4.0

Positioning4.9

Opening Duels2.6

Clutch0.0

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 ropz 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 615ms 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

Aim5.4

Positioning4.9

Utility4.0

Mechanics6.3

Opening Duels2.6

Win Impact10.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time611ms+6ms

first ⅓ avg 605ms → last ⅓ avg 611ms

Headshot accuracy12.3%−2.7%

first ⅓ avg 15.1% → last ⅓ avg 12.3%

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

0.13Best rating — mirage 13–3

13–1Biggest win — cache

6Longest win streak

W5Current streak

10–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 60% over 15anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	20	10–10	50%	-0.01
mirage	A	18	10–8	56%	-0.01
cache	A	15	9–6	60%	-0.02
inferno	B	14	7–7	50%	-0.01
ancient	A	10	6–4	60%	-0.02
anubis	D	7	1–6	14%	-0.02
dust2	D	7	2–5	29%	-0.00
vertigo	—	3	1–2	33%	-0.02
office	—	2	2–0	100%	0.02
overpass	—	2	1–1	50%	-0.02
train	—	1	1–0	100%	0.04
alpine	—	1	1–0	100%	-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches

40%Win rate

0.60Avg K/D

70.6ADR

36%Headshot %

Clutches & streaks

0%1v1 clutch win

25%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1	100%	0.77	10.0
Anubis	1	0%	0.33	5.0
Cache	1	100%	0.94	15.0

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.

12.6%Headshot accuracy

35.1%Accuracy (enemy spotted)

32.6%Spray accuracy

78.6%Counter-strafing

10.5°Preaim

615msReaction time

35.6%T opening success

44.8%CT opening success

0.35Enemies flashed / flash

3.1%Flash assists

5.78HE damage / grenade

6.29Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.6492% — below the 15% mark we flag
Aim Training →
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 0.3518 — 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 35.59% — 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.

14% win rate across 7 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
nuke	13–2	-0.02	9%	24 Aug →
ancient	13–11	-0.04	8%	24 Aug →
cache	13–10	0.03	17%	18 Aug →
nuke	13–4	0.12	12%	18 Aug →
office	13–6	0.01	18%	18 Aug →
ancient	9–13	0.01	15%	17 Aug →
cache	0–13	-0.10	10%	17 Aug →
nuke	10–13	-0.03	19%	17 Aug →
nuke	12–12	-0.02	10%	14 Aug →
mirage	6–13	-0.03	12%	14 Aug →
nuke	13–9	-0.04	15%	10 Aug →
cache	13–10	0.04	3%	10 Aug →
mirage	9–13	-0.04	14%	7 Aug →
mirage	12–12	0.02	17%	24 Jul →
cache	9–13	-0.04	14%	24 Jul →
inferno	13–9	-0.01	11%	22 Jul →
anubis	12–12	-0.02	10%	22 Jul →
train	13–10	0.04	15%	20 Jul →
anubis	13–3	-0.01	9%	20 Jul →
inferno	13–10	0.01	11%	17 Jul →
cache	13–1	0.04	3%	17 Jul →
mirage	13–11	0.05	7%	16 Jul →
dust2	13–5	0.01	7%	16 Jul →
anubis	10–13	-0.04	11%	13 Jul →
mirage	10–13	-0.08	11%	13 Jul →
dust2	6–13	-0.05	15%	10 Jul →
mirage	13–11	-0.05	17%	10 Jul →
mirage	13–4	0.00	30%	9 Jul →
cache	13–11	-0.03	13%	9 Jul →
mirage	13–8	-0.00	16%	8 Jul →
cache	13–11	-0.03	14%	7 Jul →
nuke	2–13	-0.04	12%	6 Jul →
anubis	5–13	-0.03	5%	6 Jul →
dust2	10–13	-0.01	12%	4 Jul →
nuke	13–2	-0.04	15%	30 Jun →
ancient	13–10	-0.01	13%	23 Jun →
overpass	13–9	0.03	23%	23 Jun →
nuke	3–13	-0.04	15%	23 Jun →
cache	13–11	-0.06	19%	22 Jun →
nuke	13–6	0.02	14%	22 Jun →
ancient	13–5	0.04	13%	17 Jun →
nuke	10–13	-0.04	18%	17 Jun →
inferno	10–13	-0.10	7%	16 Jun →
cache	13–8	-0.02	11%	16 Jun →
ancient	13–11	-0.03	6%	11 Jun →
dust2	13–8	0.01	11%	29 May →
nuke	6–13	-0.02	14%	29 May →
mirage	13–3	0.13	13%	29 May →
cache	12–12	-0.05	9%	27 May →
mirage	8–13	-0.05	17%	27 May →
ancient	13–5	-0.01	8%	25 May →
inferno	9–13	-0.01	13%	25 May →
cache	13–7	0.01	9%	25 May →
mirage	3–13	-0.02	16%	22 May →
office	13–7	0.03	18%	22 May →
inferno	13–8	0.04	14%	22 May →
ancient	0–6	-0.06	8%	22 May →
inferno	12–12	-0.04	5%	19 May →
anubis	5–13	0.01	19%	14 May →
nuke	13–6	0.07	10%	14 May →
cache	13–2	0.03	12%	14 May →
mirage	16–14	-0.06	9%	13 May →
nuke	8–13	-0.05	9%	13 May →
nuke	3–13	-0.06	29%	11 May →
inferno	4–13	-0.06	14%	11 May →
mirage	7–13	-0.05	18%	9 May →
cache	12–12	-0.02	23%	9 May →
mirage	13–1	0.05	17%	2 May →
dust2	9–13	0.02	9%	1 May →
cache	4–13	-0.05	13%	1 May →
anubis	2–13	-0.01	13%	30 Apr →
cache	12–12	-0.01	20%	30 Apr →
ancient	3–13	-0.08	13%	6 Mar →
inferno	13–10	0.03	18%	6 Mar →
mirage	3–13	-0.02	26%	6 Mar →
ancient	13–11	-0.01	12%	5 Mar →
inferno	13–5	0.03	18%	5 Mar →
mirage	13–8	-0.01	12%	5 Mar →
nuke	5–13	-0.03	10%	28 Feb →
ancient	1–13	-0.01	19%	28 Feb →
dust2	11–13	0.01	9%	28 Feb →
anubis	10–13	-0.05	9%	27 Feb →
inferno	12–12	-0.04	17%	27 Feb →
nuke	13–10	-0.02	15%	27 Feb →
vertigo	3–13	-0.08	36%	26 Feb →
inferno	13–4	0.04	20%	25 Feb →
mirage	13–8	0.05	17%	25 Feb →
dust2	12–12	-0.01	21%	25 Feb →
nuke	13–8	0.08	19%	24 Feb →
inferno	13–9	0.01	15%	24 Feb →
mirage	13–6	-0.04	11%	24 Feb →
alpine	13–11	-0.09	8%	24 Feb →
inferno	11–13	-0.03	8%	23 Feb →
nuke	13–3	0.04	19%	23 Feb →
overpass	5–13	-0.06	14%	23 Feb →
inferno	7–13	0.04	20%	23 Feb →
nuke	5–13	-0.07	13%	20 Feb →
vertigo	13–5	0.01	10%	20 Feb →
nuke	13–3	-0.02	10%	19 Feb →
vertigo	11–13	0.02	10%	19 Feb →