Sika "Schwing" Siimala — CS2 Stats

FI76561197963433763[U:1:3168035]Steam profile ↗✓ No bans

1,434Tracked matches53%Win rate2020Tracked since

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating21,744Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)

CSDB Leaderboard#9783 of 32001 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning56

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateLWWLLWWWLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim7.0

Aggression5.3

Utility7.1

Positioning5.6

Opening Duels1.0

Clutch3.2

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 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.0

Positioning5.6

Utility7.1

Mechanics5.6

Opening Duels1.5

Win Impact6.1

Composite 6.0/10 (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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time513ms−62ms

first ⅓ avg 576ms → last ⅓ avg 513ms

Headshot accuracy14.3%+1.6%

first ⅓ avg 12.7% → last ⅓ avg 14.3%

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

0.28Best rating — inferno 9–4

13–1Biggest win — nuke

5Longest win streak

10–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 83% over 12vertigoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	20	13–7	65%	0.02
ancient	B	17	8–9	47%	0.01
anubis	C	16	7–9	44%	-0.00
inferno	S	12	10–2	83%	0.04
cache	A	11	6–5	55%	0.03
dust2	B	11	5–6	45%	0.01
vertigo	C	5	2–3	40%	0.03
overpass	—	2	2–0	100%	0.10
train	—	2	2–0	100%	0.03
debris	—	1	0–1	0%	0.00
eldorado	—	1	1–0	100%	0.09
poseidon	—	1	0–1	0%	0.12
mirage	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

377Matches

54%Win rate

1.12Avg K/D

85.5ADR

36%Headshot %

Clutches & streaks

36%1v1 clutch win

28%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	39	46%	1.22	16.4
Ancient	32	53%	1.46	17.0
Anubis	32	50%	1.24	15.8
Dust2	30	57%	1.25	16.0
Inferno	14	64%	1.19	15.4
Cache	12	58%	1.57	21.8
Overpass	7	86%	1.29	18.6
Mirage	4	50%	1.93	17.8

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.

14.0%Headshot accuracy

34.4%Accuracy (enemy spotted)

40.6%Spray accuracy

75.2%Counter-strafing

9.7°Preaim

519msReaction time

25.5%T opening success

42.2%CT opening success

0.66Enemies flashed / flash

7.1%Flash assists

14.58HE damage / grenade

7.52Flashes / 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 14.0115% — below the 15% mark we flag
Aim Training →
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 25.5483% — below the 40% mark we flag

Spend your practice time on Vertigo

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	0.06	16%	28 Aug →
nuke	13–5	0.04	20%	28 Aug →
dust2	13–11	0.06	13%	28 Aug →
ancient	11–13	0.02	6%	27 Aug →
cache	8–13	-0.02	14%	27 Aug →
nuke	13–11	-0.01	8%	26 Aug →
dust2	13–6	-0.05	12%	26 Aug →
nuke	13–9	-0.05	7%	25 Aug →
ancient	6–13	-0.03	14%	25 Aug →
anubis	13–8	0.04	5%	25 Aug →
cache	8–13	-0.02	12%	25 Aug →
nuke	13–1	0.03	17%	25 Aug →
dust2	3–13	-0.04	17%	25 Aug →
ancient	13–8	-0.08	24%	25 Aug →
vertigo	13–16	-0.01	16%	24 Aug →
anubis	3–13	-0.11	5%	24 Aug →
overpass	13–9	0.05	16%	19 Aug →
inferno	13–5	0.08	21%	19 Aug →
train	13–5	0.08	19%	19 Aug →
inferno	13–4	0.09	12%	18 Aug →
nuke	6–13	-0.04	21%	18 Aug →
vertigo	13–11	0.09	17%	17 Aug →
anubis	13–9	-0.01	7%	17 Aug →
ancient	11–13	-0.03	11%	17 Aug →
cache	6–13	-0.04	25%	17 Aug →
dust2	7–13	0.02	21%	17 Aug →
nuke	4–13	-0.04	13%	14 Aug →
vertigo	16–13	0.02	7%	14 Aug →
inferno	13–6	-0.00	18%	14 Aug →
dust2	11–13	0.01	14%	14 Aug →
vertigo	8–8	0.04	14%	14 Aug →
nuke	9–3	0.10	10%	14 Aug →
inferno	9–7	0.01	21%	14 Aug →
anubis	13–9	0.01	11%	14 Aug →
inferno	13–5	0.00	13%	13 Aug →
cache	13–6	0.05	22%	13 Aug →
anubis	5–13	-0.04	14%	13 Aug →
nuke	13–5	0.03	13%	13 Aug →
inferno	13–10	0.02	13%	13 Aug →
nuke	8–13	0.02	23%	12 Aug →
ancient	14–16	-0.05	6%	12 Aug →
anubis	5–13	-0.08	21%	12 Aug →
inferno	7–9	0.05	19%	9 Aug →
nuke	9–2	0.18	16%	9 Aug →
inferno	4–9	0.01	11%	9 Aug →
overpass	9–6	0.15	14%	9 Aug →
debris	2–9	0.00	11%	9 Aug →
nuke	9–6	0.02	20%	9 Aug →
eldorado	9–7	0.09	23%	9 Aug →
poseidon	7–9	0.12	22%	9 Aug →
inferno	9–4	0.28	15%	9 Aug →
vertigo	3–9	0.02	21%	9 Aug →
anubis	4–13	-0.06	9%	5 Aug →
anubis	11–13	-0.03	15%	4 Aug →
dust2	4–13	-0.06	14%	4 Aug →
ancient	6–13	-0.09	19%	4 Aug →
dust2	13–6	0.01	10%	4 Aug →
anubis	8–13	-0.01	14%	4 Aug →
nuke	13–5	0.03	17%	4 Aug →
inferno	19–15	0.04	20%	4 Aug →
ancient	13–4	0.08	14%	4 Aug →
dust2	11–13	0.00	13%	4 Aug →
cache	13–9	0.10	14%	2 Aug →
anubis	13–3	-0.01	14%	2 Aug →
ancient	13–10	0.03	15%	2 Aug →
ancient	5–13	-0.02	12%	30 Jul →
anubis	13–8	0.11	12%	30 Jul →
cache	13–4	0.07	16%	30 Jul →
train	13–7	-0.02	10%	30 Jul →
mirage	4–13	-0.01	20%	30 Jul →
cache	13–11	0.07	21%	21 Jul →
ancient	13–5	0.00	12%	21 Jul →
nuke	13–5	0.03	12%	21 Jul →
anubis	13–9	0.06	4%	20 Jul →
dust2	13–8	0.05	10%	20 Jul →
anubis	15–15	0.05	13%	20 Jul →
nuke	6–13	0.05	18%	20 Jul →
ancient	13–7	0.13	17%	20 Jul →
dust2	16–14	-0.00	11%	20 Jul →
anubis	13–8	0.01	12%	19 Jul →
nuke	6–13	-0.03	23%	18 Jul →
ancient	13–9	-0.01	8%	17 Jul →
anubis	8–13	0.03	12%	17 Jul →
nuke	13–9	-0.03	10%	17 Jul →
nuke	10–13	0.01	24%	17 Jul →
cache	7–13	0.01	12%	17 Jul →
ancient	16–14	0.08	8%	16 Jul →
anubis	8–13	0.02	20%	16 Jul →
cache	13–7	0.00	9%	16 Jul →
inferno	13–10	-0.01	7%	16 Jul →
ancient	10–13	-0.00	8%	13 Jul →
ancient	13–11	0.02	9%	13 Jul →
inferno	13–5	-0.03	16%	13 Jul →
nuke	13–3	0.07	7%	13 Jul →
nuke	7–13	-0.01	13%	13 Jul →
dust2	10–13	0.06	17%	13 Jul →
nuke	16–14	0.05	7%	13 Jul →
ancient	6–13	0.07	12%	13 Jul →
ancient	12–16	-0.01	10%	13 Jul →
cache	13–9	0.03	16%	12 Jul →