✪ Maikkeli — CS2 Stats

76561197991231326[U:1:30965598]Steam profile ↗✓ No bans

1,824Tracked matches50%Win rate2020Tracked since

CSDB Rating5.8 Solid

FaceitLevel 9 · 2,047 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning63

Utility81

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateLLWLLLWWLW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim5.9

Aggression7.0

Utility8.1

Positioning6.3

Opening Duels2.1

Clutch4.4

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 88% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

Reaction time. 577ms 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

Aim5.9

Positioning6.3

Utility8.1

Mechanics5.4

Opening Duels2.1

Win Impact5.0

Composite 5.8/10 (Solid), 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-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time592ms−30ms

first ⅓ avg 622ms → last ⅓ avg 592ms

Headshot accuracy14.1%−0.3%

first ⅓ avg 14.4% → last ⅓ avg 14.1%

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

0.09Best rating — dust2 13–5

13–2Biggest win — overpass

4Longest win streak

L2Current streak

8–14In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 56% over 9infernoWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
overpass	C	27	11–16	41%	0.01
dust2	B	24	11–13	46%	-0.01
inferno	C	15	6–9	40%	0.00
ancient	C	14	6–8	43%	-0.01
nuke	A	9	5–4	56%	0.00
mirage	C	7	3–4	43%	0.00
train	—	2	2–0	100%	0.01
cache	—	1	0–1	0%	-0.03
anubis	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,293Matches

51%Win rate

1.10Avg K/D

71.9ADR

35%Headshot %

Clutches & streaks

42%1v1 clutch win

18%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	100	56%	1.20	15.7
Nuke	96	59%	1.14	15.2
Overpass	87	62%	1.27	15.7
Dust2	86	45%	1.08	14.7
Ancient	84	50%	1.05	13.8
Mirage	48	50%	0.98	13.7
Train	14	29%	0.91	14.1
Anubis	12	33%	1.25	14.0

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.

13.4%Headshot accuracy

34.0%Accuracy (enemy spotted)

37.9%Spray accuracy

74.4%Counter-strafing

10.0°Preaim

577msReaction time

31.1%T opening success

45.8%CT opening success

0.74Enemies flashed / flash

15.5%Flash assists

10.72HE damage / grenade

14.84Flashes / 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 13.394% — 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 31.0541% — 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.

40% win rate across 15 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
cache	8–13	-0.03	11%	9 May →
dust2	11–13	-0.04	8%	8 May →
inferno	16–13	0.06	18%	7 May →
mirage	5–13	-0.02	14%	7 May →
ancient	13–16	0.02	17%	5 May →
overpass	11–13	-0.04	12%	26 Apr →
inferno	13–5	-0.02	20%	19 Apr →
overpass	13–3	-0.01	15%	17 Apr →
dust2	7–13	-0.07	6%	10 Apr →
nuke	13–10	0.02	8%	10 Apr →
overpass	6–13	0.01	9%	10 Apr →
anubis	10–13	-0.01	7%	5 Apr →
mirage	13–3	0.06	17%	5 Apr →
dust2	13–3	0.06	7%	5 Apr →
ancient	13–16	-0.01	8%	5 Apr →
inferno	13–8	0.02	15%	5 Apr →
overpass	16–14	0.03	9%	5 Apr →
overpass	8–13	0.01	9%	29 Mar →
overpass	22–20	0.05	13%	27 Mar →
nuke	13–11	0.02	22%	27 Mar →
ancient	16–14	-0.03	15%	16 Mar →
overpass	11–13	-0.04	9%	16 Mar →
dust2	2–13	-0.03	20%	12 Mar →
dust2	13–5	0.09	35%	10 Mar →
nuke	13–9	0.06	16%	10 Mar →
overpass	14–16	-0.01	10%	3 Mar →
inferno	11–13	-0.01	20%	26 Feb →
overpass	4–13	0.03	15%	26 Feb →
inferno	19–17	-0.03	17%	25 Feb →
nuke	13–10	-0.07	5%	25 Feb →
dust2	13–10	0.01	23%	24 Feb →
dust2	6–13	-0.08	19%	23 Feb →
overpass	13–2	0.01	15%	22 Feb →
ancient	13–11	-0.00	20%	22 Feb →
inferno	14–16	0.00	16%	20 Feb →
dust2	5–13	0.03	19%	15 Feb →
dust2	13–3	-0.01	21%	29 Jan →
dust2	11–13	-0.04	12%	29 Jan →
overpass	13–10	-0.04	10%	20 Jan →
nuke	8–13	0.04	17%	3 Jan →
nuke	11–13	0.04	21%	27 Dec →
ancient	5–13	-0.00	32%	23 Dec →
dust2	13–8	0.00	7%	22 Dec →
inferno	9–13	-0.00	11%	19 Dec →
ancient	3–13	-0.00	15%	19 Dec →
dust2	12–16	-0.01	15%	15 Dec →
nuke	16–13	-0.00	17%	15 Dec →
dust2	13–6	0.06	15%	15 Dec →
inferno	2–13	0.03	13%	12 Dec →
overpass	13–7	0.02	12%	9 Dec →
overpass	13–10	0.02	13%	9 Dec →
overpass	17–19	-0.06	12%	2 Dec →
dust2	11–13	-0.05	13%	2 Dec →
overpass	11–13	-0.00	8%	28 Nov →
ancient	8–13	-0.01	22%	22 Nov →
overpass	6–13	0.01	16%	18 Nov →
train	13–3	0.02	19%	16 Nov →
dust2	13–10	-0.02	12%	9 Nov →
inferno	13–8	-0.03	7%	8 Nov →
overpass	13–11	-0.01	3%	3 Nov →
overpass	11–13	0.04	11%	30 Oct →
overpass	13–6	0.07	18%	29 Oct →
overpass	9–13	-0.01	11%	22 Oct →
dust2	8–13	-0.01	15%	22 Oct →
dust2	13–9	0.03	20%	21 Oct →
nuke	6–13	-0.04	19%	18 Oct →
inferno	10–13	0.00	13%	18 Oct →
ancient	7–13	-0.03	15%	18 Oct →
overpass	13–10	0.08	16%	17 Oct →
dust2	4–13	-0.04	23%	15 Oct →
overpass	11–13	0.03	9%	14 Oct →
ancient	6–13	-0.04	23%	12 Oct →
overpass	10–13	0.01	9%	12 Oct →
ancient	13–4	-0.04	6%	11 Oct →
dust2	9–13	-0.04	19%	10 Oct →
inferno	10–13	-0.00	16%	10 Oct →
inferno	4–13	-0.03	13%	9 Oct →
mirage	13–10	-0.04	16%	9 Oct →
dust2	13–2	0.03	7%	9 Oct →
inferno	13–6	0.04	10%	8 Oct →
overpass	7–13	0.01	6%	8 Oct →
dust2	13–10	-0.01	17%	8 Oct →
dust2	7–13	-0.01	7%	6 Oct →
mirage	10–13	-0.00	9%	5 Oct →
dust2	8–13	-0.02	14%	4 Oct →
ancient	13–7	0.03	16%	4 Oct →
train	13–4	0.00	24%	4 Oct →
mirage	8–13	0.02	18%	4 Oct →
inferno	8–13	-0.01	7%	3 Oct →
overpass	5–13	-0.02	10%	3 Oct →
dust2	13–7	-0.02	12%	3 Oct →
overpass	13–9	0.04	12%	3 Oct →
mirage	11–13	0.01	14%	2 Oct →
inferno	15–15	0.05	12%	2 Oct →
overpass	3–13	-0.07	27%	2 Oct →
ancient	8–13	0.00	22%	22 Sept →
mirage	16–12	-0.01	18%	22 Sept →
ancient	16–13	-0.04	11%	11 Sept →
nuke	10–13	-0.02	20%	11 Sept →
ancient	13–11	-0.01	14%	8 Sept →