Mikki — CS2 Stats

FI76561198106999706[U:1:146733978]Steam profile ↗

884Tracked matches44%Win rate2020Tracked since

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating20,000Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#17849 of 46157 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning47

Utility61

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLLTWLLLLWT

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

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

Aim7.7

Aggression6.5

Utility6.1

Positioning4.7

Opening Duels2.8

Clutch2.6

Effective 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 NiKo 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 569ms 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

Aim7.7

Positioning4.7

Utility6.1

Mechanics4.6

Opening Duels2.8

Win Impact3.1

Composite 5.6/10 (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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time587ms−21ms

first ⅓ avg 608ms → last ⅓ avg 587ms

Headshot accuracy15.7%+1.2%

first ⅓ avg 14.5% → last ⅓ avg 15.7%

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

0.12Best rating — nuke 13–1

13–0Biggest win — cache

6Longest win streak

L2Current streak

9–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 64% over 11mirageWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	21	10–11	48%	-0.01
ancient	B	15	8–7	53%	-0.03
nuke	C	14	5–9	36%	0.00
dust2	B	11	5–6	45%	-0.03
cache	A	11	7–4	64%	0.00
anubis	B	8	4–4	50%	-0.02
mirage	D	8	1–7	13%	-0.02
overpass	A	5	3–2	60%	0.01
vertigo	—	3	3–0	100%	0.02
office	—	1	0–1	0%	-0.07
stronghold	—	1	1–0	100%	-0.02
alpine	—	1	1–0	100%	-0.02
train	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

216Matches

59%Win rate

1.04Avg K/D

69.6ADR

38%Headshot %

Clutches & streaks

33%1v1 clutch win

11%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	40	62%	0.94	12.8
Mirage	39	59%	1.06	14.4
Ancient	30	67%	1.09	16.9
Nuke	27	63%	1.16	16.9
Anubis	19	53%	1.12	16.9
Overpass	13	69%	1.37	16.1
Dust2	9	56%	0.91	14.3
Vertigo	6	83%	1.24	13.2

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.

15.9%Headshot accuracy

38.9%Accuracy (enemy spotted)

43.0%Spray accuracy

70.9%Counter-strafing

8.1°Preaim

569msReaction time

35.7%T opening success

47.0%CT opening success

0.73Enemies flashed / flash

6.3%Flash assists

9.56HE damage / grenade

11.46Flashes / 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 35.6697% — below the 40% mark we flag

Spend your practice time on Mirage

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.06	5%	30 Aug →
ancient	0–13	-0.06	17%	30 Aug →
inferno	15–15	0.01	7%	30 Aug →
inferno	13–1	0.02	13%	30 Aug →
dust2	5–13	-0.10	18%	30 Aug →
ancient	11–13	-0.08	17%	29 Aug →
inferno	3–13	0.03	30%	29 Aug →
dust2	11–13	0.01	21%	29 Aug →
cache	13–9	0.06	23%	29 Aug →
anubis	12–12	0.02	16%	25 Aug →
vertigo	13–10	-0.04	15%	25 Aug →
mirage	7–13	-0.09	15%	24 Aug →
ancient	13–9	0.03	13%	24 Aug →
nuke	13–10	0.03	24%	24 Aug →
nuke	10–13	-0.06	24%	23 Aug →
inferno	13–3	0.03	16%	23 Aug →
anubis	13–3	-0.04	18%	22 Aug →
mirage	15–15	0.01	11%	18 Aug →
dust2	9–13	0.00	7%	18 Aug →
ancient	13–7	-0.00	18%	18 Aug →
dust2	11–13	-0.08	21%	17 Aug →
mirage	7–13	-0.06	17%	17 Aug →
cache	13–11	0.06	13%	17 Aug →
ancient	13–6	-0.03	13%	16 Aug →
inferno	14–16	-0.04	18%	16 Aug →
cache	13–5	0.09	22%	16 Aug →
mirage	11–13	0.01	12%	16 Aug →
cache	2–13	-0.03	13%	15 Aug →
dust2	13–8	0.03	15%	15 Aug →
mirage	4–13	-0.03	15%	13 Aug →
nuke	16–14	0.01	14%	13 Aug →
nuke	11–13	-0.03	7%	12 Aug →
mirage	7–13	0.05	13%	12 Aug →
nuke	4–13	0.01	14%	7 Aug →
dust2	13–8	-0.03	14%	1 Aug →
nuke	13–1	0.12	14%	29 Jul →
ancient	13–4	-0.03	0%	28 Jul →
inferno	10–13	0.01	11%	28 Jul →
nuke	13–6	0.01	20%	28 Jul →
ancient	9–13	0.05	13%	28 Jul →
anubis	13–11	0.05	24%	26 Jul →
nuke	14–16	0.03	17%	11 Jul →
nuke	8–13	0.01	15%	7 Jun →
ancient	2–13	-0.09	9%	7 May →
cache	13–7	-0.06	17%	7 May →
cache	12–12	-0.03	13%	7 May →
office	7–13	-0.07	27%	5 May →
dust2	3–13	-0.04	13%	5 May →
vertigo	13–2	0.04	19%	4 May →
mirage	2–13	-0.08	17%	4 May →
anubis	11–13	-0.02	17%	3 May →
ancient	0–13	-0.11	18%	3 May →
cache	5–13	-0.03	15%	3 May →
cache	13–0	0.02	21%	29 Apr →
ancient	8–13	0.01	15%	29 Apr →
cache	13–11	0.02	16%	29 Apr →
cache	13–3	-0.03	12%	29 Apr →
cache	3–13	-0.06	22%	29 Apr →
inferno	13–11	-0.04	20%	26 Apr →
stronghold	13–4	-0.02	20%	25 Apr →
inferno	13–4	-0.05	13%	25 Apr →
alpine	13–2	-0.02	10%	25 Apr →
overpass	13–5	-0.04	20%	19 Apr →
nuke	6–13	-0.09	47%	13 Apr →
overpass	15–15	0.00	19%	13 Apr →
inferno	13–6	-0.06	5%	13 Apr →
vertigo	13–6	0.06	13%	9 Apr →
train	13–0	0.10	35%	9 Apr →
anubis	11–13	-0.05	14%	9 Apr →
anubis	9–13	-0.05	32%	7 Apr →
dust2	6–13	-0.05	9%	7 Apr →
anubis	13–5	0.01	10%	4 Apr →
mirage	13–3	0.04	9%	4 Apr →
nuke	13–6	0.01	12%	4 Apr →
ancient	13–3	-0.01	11%	4 Apr →
ancient	19–17	-0.04	7%	4 Apr →
overpass	13–8	-0.01	14%	4 Apr →
inferno	8–13	-0.05	6%	4 Apr →
ancient	15–19	-0.03	10%	4 Apr →
inferno	11–13	0.00	12%	4 Apr →
inferno	9–13	-0.02	17%	3 Apr →
overpass	13–5	-0.04	22%	3 Apr →
inferno	11–13	0.03	18%	3 Apr →
inferno	13–4	-0.02	13%	3 Apr →
inferno	13–9	-0.01	21%	3 Apr →
ancient	13–7	-0.01	14%	3 Apr →
inferno	13–11	-0.03	9%	3 Apr →
anubis	13–10	-0.06	10%	1 Apr →
nuke	2–13	-0.04	11%	31 Mar →
nuke	10–13	-0.04	11%	30 Mar →
ancient	13–11	-0.06	10%	30 Mar →
inferno	5–13	0.00	5%	30 Mar →
dust2	13–6	0.02	25%	29 Mar →
nuke	10–13	0.04	16%	28 Mar →
inferno	13–11	-0.02	11%	28 Mar →
inferno	10–13	0.00	21%	28 Mar →
dust2	13–3	-0.01	11%	27 Mar →
inferno	13–4	-0.04	16%	27 Mar →
dust2	13–8	-0.03	23%	27 Mar →
overpass	4–13	0.12	14%	27 Mar →