Masa Mainio — CS2 Stats

76561199469950817[U:1:1509685089]Steam profile ↗✓ No bans

2,480Tracked matches48%Win rate2023Tracked since

1,040Hours in CS

CSDB Rating5.3 Developing

Premier CS Rating15,949Purple band · top ~24.6% of ranked players (population est.)

CSDB Leaderboard#31898 of 56356 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Purple band median	Pink band median	vs Pink band
Headshot rate	46.5%	44.2%	47.1%	meets
Shot accuracy	0.4%	11.6%	12.8%	12.4% short
Kill/death ratio	1.15	1.03	1.08	above
Match win rate	44.6%	45.2%	46.6%	2.0% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim57

Positioning49

Utility74

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateTLLLLLLWWL

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

Player DNA

Aim5.7

Aggression6.4

Utility7.4

Positioning4.9

Opening Duels2.8

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 Twistzz 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 588ms 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

Aim5.7

Positioning4.9

Utility7.4

Mechanics5.0

Opening Duels2.8

Win Impact4.4

Composite 5.3/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time585ms−32ms

first ⅓ avg 617ms → last ⅓ avg 585ms

Headshot accuracy20.2%+0.4%

first ⅓ avg 19.8% → last ⅓ avg 20.2%

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.

Highlights

0.16Best rating — nuke 13–6

13–0Biggest win — nuke

8Longest win streak

4–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 55% over 22dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	12–10	55%	0.03
anubis	B	17	8–9	47%	0.01
inferno	B	15	8–7	53%	0.02
cache	B	13	6–7	46%	0.01
ancient	B	12	6–6	50%	0.01
dust2	D	5	1–4	20%	0.02
mirage	D	5	1–4	20%	-0.02
vertigo	—	3	1–2	33%	0.03
train	—	3	2–1	67%	0.03
overpass	—	3	1–2	33%	0.02
office	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,266Lifetime kills

1.15K/D · Top 25% of Purple band

2,937Matches

44.6%Match win rate

46.5%Headshot % · Top 50% of Purple band

0.4%Shot accuracy

7,658MVPs

1,040Hours (in match)

5,613Bombs planted

887Bombs defused

Most-used weapons

AK-4712,783

M4A4 / M4A1-S6,191

AWP4,133

MP93,639

P2000 / USP-S3,353

MAC-103,060

Glock-182,391

Galil AR2,244

P2501,845

Tec-91,476

Lifetime map wins

6,362nuke

5,539inferno

3,586vertigo

1,720train

910dust2

386office

66ar_shoots

41ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.8%Headshot accuracy

32.2%Accuracy (enemy spotted)

31.0%Spray accuracy

72.4%Counter-strafing

10.1°Preaim

588msReaction time

37.3%T opening success

44.8%CT opening success

0.80Enemies flashed / flash

13.1%Flash assists

8.87HE damage / grenade

10.85Flashes / 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 37.2705% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	12–12	-0.04	28%	29 Aug →
vertigo	10–13	-0.02	15%	28 Aug →
anubis	9–13	-0.06	14%	28 Aug →
cache	7–13	-0.06	31%	28 Aug →
nuke	11–13	0.00	18%	28 Aug →
train	10–13	0.01	14%	8 Aug →
dust2	9–13	0.06	13%	8 Aug →
overpass	13–8	0.09	21%	8 Aug →
ancient	13–6	-0.03	13%	5 Aug →
mirage	14–16	-0.07	20%	2 Aug →
dust2	6–13	-0.01	25%	2 Aug →
mirage	6–13	-0.06	16%	1 Aug →
cache	13–5	0.06	16%	1 Aug →
nuke	8–13	0.11	28%	1 Aug →
anubis	13–8	0.00	11%	1 Aug →
nuke	13–8	0.07	19%	1 Aug →
inferno	7–13	0.02	23%	1 Aug →
train	13–1	0.04	35%	1 Aug →
anubis	13–6	0.05	20%	1 Aug →
cache	13–10	-0.00	16%	1 Aug →
ancient	4–13	-0.05	18%	31 Jul →
nuke	13–0	0.13	26%	31 Jul →
ancient	13–7	0.03	15%	31 Jul →
inferno	3–13	0.01	22%	31 Jul →
nuke	10–13	0.01	18%	31 Jul →
nuke	13–11	0.08	21%	31 Jul →
inferno	13–0	0.05	18%	31 Jul →
cache	7–0	0.01	36%	30 Jul →
anubis	13–8	0.04	21%	30 Jul →
inferno	9–13	-0.04	23%	30 Jul →
ancient	1–13	0.03	22%	30 Jul →
nuke	4–13	0.05	14%	30 Jul →
train	13–9	0.03	20%	30 Jul →
vertigo	1–13	0.01	27%	30 Jul →
ancient	13–8	0.05	23%	30 Jul →
nuke	13–11	0.00	17%	30 Jul →
cache	13–16	0.03	21%	30 Jul →
cache	11–13	-0.05	13%	30 Jul →
nuke	13–7	-0.02	36%	30 Jul →
inferno	10–13	-0.02	12%	26 Jul →
ancient	1–13	-0.06	20%	26 Jul →
dust2	11–13	0.03	30%	26 Jul →
cache	4–13	-0.05	31%	26 Jul →
nuke	9–13	-0.07	6%	26 Jul →
cache	13–5	0.03	33%	26 Jul →
nuke	13–5	-0.01	29%	26 Jul →
inferno	16–13	-0.02	21%	25 Jul →
inferno	13–6	0.04	20%	25 Jul →
nuke	13–9	-0.04	18%	25 Jul →
anubis	16–12	0.00	27%	25 Jul →
anubis	13–3	-0.04	14%	25 Jul →
cache	13–10	0.04	25%	19 Jul →
cache	8–13	-0.03	21%	19 Jul →
anubis	13–4	0.01	29%	19 Jul →
ancient	9–13	-0.00	17%	17 Jul →
dust2	13–4	0.04	21%	17 Jul →
anubis	8–13	0.02	14%	17 Jul →
ancient	13–11	0.03	14%	17 Jul →
inferno	13–6	0.01	19%	17 Jul →
inferno	7–13	0.02	16%	17 Jul →
cache	8–13	0.06	21%	17 Jul →
nuke	15–15	0.01	29%	17 Jul →
nuke	4–13	0.12	16%	17 Jul →
anubis	4–13	-0.10	21%	8 Jul →
nuke	13–9	0.05	22%	8 Jul →
office	13–5	0.02	36%	8 Jul →
anubis	12–12	0.04	29%	4 Jul →
office	8–13	-0.02	30%	4 Jul →
inferno	11–1	0.06	33%	4 Jul →
nuke	13–0	0.01	38%	4 Jul →
cache	4–13	0.04	30%	4 Jul →
vertigo	13–7	0.09	33%	21 Jun →
nuke	6–13	0.04	16%	21 Jun →
mirage	11–5	-0.00	11%	21 Jun →
overpass	9–13	-0.01	19%	21 Jun →
cache	13–5	0.08	32%	21 Jun →
mirage	15–15	0.04	21%	11 Jun →
inferno	13–7	0.02	17%	11 Jun →
ancient	13–1	0.07	23%	11 Jun →
anubis	7–13	-0.02	13%	11 Jun →
anubis	13–7	-0.02	20%	11 Jun →
nuke	13–0	0.07	48%	11 Jun →
ancient	13–3	-0.01	22%	11 Jun →
ancient	11–13	0.01	16%	4 Jun →
anubis	13–11	0.02	13%	4 Jun →
overpass	11–13	-0.02	15%	4 Jun →
dust2	11–13	-0.03	9%	4 Jun →
inferno	13–8	0.02	26%	4 Jun →
anubis	12–12	0.04	12%	2 Jun →
mirage	6–13	-0.02	8%	29 May →
ancient	7–13	0.03	17%	29 May →
anubis	1–13	-0.04	10%	29 May →
inferno	8–13	0.02	15%	25 Apr →
anubis	11–13	0.04	12%	25 Apr →
inferno	11–13	0.07	15%	25 Apr →
nuke	13–10	0.04	10%	25 Apr →
nuke	13–6	0.16	18%	17 Apr →
anubis	8–13	0.11	16%	17 Apr →
inferno	13–8	0.00	13%	17 Apr →
nuke	11–13	-0.03	20%	3 Apr →