pelimiesten peli mies — CS2 Stats

76561198978073438[U:1:1017807710]Steam profile ↗✓ No bans

1,748Tracked matches50%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating21,207Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#17545 of 55668 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning61

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLWLLWLWLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.8

Aggression7.1

Utility6.1

Positioning6.1

Opening Duels3.3

Clutch3.8

Sharp aimerStrong CT-side openerEffective flashes

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 b1t 97% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim8.8

Positioning6.1

Utility6.1

Mechanics7.6

Opening Duels3.3

Win Impact5.0

Composite 6.9/10 (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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time554ms−73ms

first ⅓ avg 627ms → last ⅓ avg 554ms

Headshot accuracy29.5%−1.2%

first ⅓ avg 30.7% → last ⅓ avg 29.5%

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

0.18Best rating — mirage 13–5

13–2Biggest win — anubis

8Longest win streak

5–12In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 86% over 7infernoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	41	23–18	56%	0.03
nuke	C	12	5–7	42%	0.04
vertigo	B	11	5–6	45%	0.01
dust2	C	10	4–6	40%	0.01
inferno	C	8	3–5	38%	0.02
anubis	S	7	6–1	86%	0.02
cache	B	6	3–3	50%	0.04
ancient	C	5	2–3	40%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

882Matches

51%Win rate

1.11Avg K/D

77.3ADR

46%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	300	51%	1.10	15.6
Nuke	109	56%	1.08	15.8
Ancient	97	47%	1.04	14.4
Dust2	96	46%	1.08	15.7
Anubis	92	52%	1.35	17.4
Vertigo	72	60%	1.08	15.7
Inferno	44	45%	1.08	15.4
Train	32	50%	1.06	15.5

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.

28.1%Headshot accuracy

34.5%Accuracy (enemy spotted)

41.1%Spray accuracy

84.0%Counter-strafing

9.0°Preaim

555msReaction time

35.0%T opening success

51.4%CT opening success

0.71Enemies flashed / flash

4.8%Flash assists

8.99HE damage / grenade

10.37Flashes / 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 34.979% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	0.01	9%	29 Aug →
mirage	13–11	0.09	28%	29 Aug →
mirage	7–13	-0.04	18%	29 Aug →
dust2	6–13	0.00	26%	29 Aug →
mirage	13–9	0.04	20%	24 Aug →
dust2	8–13	0.08	36%	24 Aug →
anubis	13–9	0.03	38%	24 Aug →
cache	6–13	0.01	40%	23 Aug →
vertigo	13–11	0.04	38%	23 Aug →
mirage	9–13	-0.01	31%	23 Aug →
nuke	13–3	0.16	39%	22 Aug →
vertigo	13–9	0.01	22%	19 Aug →
ancient	13–5	0.07	20%	17 Aug →
mirage	13–7	0.02	32%	14 Aug →
mirage	13–10	0.01	26%	12 Aug →
inferno	6–13	0.08	33%	11 Aug →
ancient	7–13	-0.01	28%	11 Aug →
vertigo	10–13	0.00	32%	10 Aug →
dust2	6–13	0.00	19%	10 Aug →
mirage	13–3	0.08	36%	10 Aug →
nuke	13–8	0.13	32%	10 Aug →
ancient	7–13	0.03	29%	9 Aug →
mirage	21–25	-0.01	21%	6 Aug →
mirage	11–13	-0.07	11%	5 Aug →
nuke	6–12	0.05	32%	29 Jul →
dust2	13–11	-0.03	33%	29 Jul →
nuke	4–13	0.00	30%	28 Jul →
vertigo	13–10	-0.03	50%	27 Jul →
mirage	13–8	0.02	21%	26 Jul →
anubis	13–2	0.04	29%	26 Jul →
mirage	13–5	0.03	48%	26 Jul →
nuke	3–13	-0.05	19%	26 Jul →
nuke	2–13	-0.04	50%	26 Jul →
nuke	13–7	0.03	49%	25 Jul →
mirage	13–6	0.06	47%	25 Jul →
mirage	11–13	0.02	30%	24 Jul →
vertigo	12–12	0.02	28%	23 Jul →
mirage	13–6	0.04	35%	23 Jul →
mirage	13–4	0.03	39%	22 Jul →
mirage	13–10	0.08	41%	22 Jul →
mirage	13–9	0.07	25%	22 Jul →
mirage	13–5	0.18	20%	21 Jul →
dust2	13–6	-0.06	43%	21 Jul →
inferno	13–3	0.04	88%	20 Jul →
cache	13–10	0.14	36%	20 Jul →
anubis	5–13	0.00	25%	20 Jul →
mirage	5–13	0.03	22%	20 Jul →
ancient	11–13	0.04	31%	20 Jul →
mirage	13–2	0.07	22%	20 Jul →
mirage	13–16	-0.02	32%	19 Jul →
inferno	4–13	0.03	43%	19 Jul →
inferno	9–13	-0.04	18%	18 Jul →
mirage	11–13	-0.01	45%	18 Jul →
mirage	1–13	-0.07	0%	18 Jul →
cache	11–13	-0.03	28%	18 Jul →
dust2	11–13	0.03	25%	18 Jul →
mirage	5–13	-0.03	19%	17 Jul →
nuke	13–2	0.02	54%	17 Jul →
mirage	13–2	0.03	39%	17 Jul →
anubis	13–10	0.05	21%	17 Jul →
ancient	13–3	0.03	43%	17 Jul →
mirage	13–3	0.08	36%	16 Jul →
anubis	13–8	-0.03	17%	16 Jul →
mirage	13–9	0.07	26%	16 Jul →
inferno	13–8	-0.00	23%	16 Jul →
inferno	4–13	-0.03	36%	16 Jul →
nuke	13–3	0.02	20%	16 Jul →
vertigo	13–9	-0.01	28%	15 Jul →
cache	13–2	0.11	41%	15 Jul →
mirage	13–3	0.07	38%	15 Jul →
nuke	9–13	0.10	37%	14 Jul →
anubis	13–11	0.07	20%	14 Jul →
vertigo	10–13	0.01	33%	14 Jul →
nuke	10–13	0.05	23%	12 Jul →
cache	11–13	-0.04	22%	12 Jul →
anubis	13–4	-0.05	18%	12 Jul →
mirage	13–9	0.03	17%	12 Jul →
cache	13–2	0.04	34%	12 Jul →
vertigo	10–13	0.03	35%	12 Jul →
mirage	5–13	0.05	44%	12 Jul →
mirage	11–13	-0.05	16%	10 Jul →
dust2	8–13	0.00	29%	10 Jul →
mirage	5–13	-0.00	21%	9 Jul →
dust2	13–11	0.07	30%	9 Jul →
vertigo	11–13	0.01	25%	9 Jul →
mirage	5–13	-0.01	31%	9 Jul →
inferno	11–13	0.01	30%	8 Jul →
inferno	13–5	0.04	34%	8 Jul →
mirage	13–8	0.05	36%	5 Jul →
dust2	13–16	0.01	26%	5 Jul →
vertigo	13–4	0.01	27%	3 Jul →
mirage	13–5	-0.00	50%	3 Jul →
mirage	13–5	0.10	28%	2 Jul →
mirage	9–13	-0.01	38%	2 Jul →
dust2	13–7	0.02	41%	2 Jul →
mirage	8–13	0.12	36%	1 Jul →
mirage	13–7	0.02	26%	1 Jul →
mirage	11–13	-0.01	22%	1 Jul →
nuke	6–13	-0.01	43%	1 Jul →
vertigo	3–13	0.04	37%	1 Jul →