Miko Chapoli — CS2 Stats

US76561197991934357[U:1:31668629]Steam profile ↗✓ No bans

195Tracked matches53%Win rate2021Tracked since

CSDB Rating6.8 SolidHybrid Rifler

Premier CS Rating18,282Purple band · top ~15.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning56

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLLLLLWWWWW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim9.3

Aggression5.3

Utility4.8

Positioning5.6

Opening Duels1.6

Clutch0.0

Sharp aimerExcellent counter-strafingLimited utility dependence

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 94% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution.

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 93 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.3

Positioning5.6

Utility4.8

Mechanics9.1

Opening Duels1.7

Win Impact6.1

Composite 6.8/10 (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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time548ms−131ms

first ⅓ avg 678ms → last ⅓ avg 548ms

Headshot accuracy22.7%+4.5%

first ⅓ avg 18.2% → last ⅓ avg 22.7%

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

0.22Best rating — dust2 13–2

13–1Biggest win — dust2

9Longest win streak

L5Current streak

10–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 68% over 19ancientWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	11–11	50%	0.02
cache	S	19	13–6	68%	0.02
mirage	B	18	9–9	50%	0.01
dust2	C	17	7–10	41%	0.05
ancient	C	16	6–10	38%	0.02
nuke	—	4	3–1	75%	0.02
anubis	—	3	1–2	33%	0.03
overpass	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches

71%Win rate

1.96Avg K/D

90.6ADR

44%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	100%	1.42	17.0
Anubis	1	100%	1.89	17.0
Inferno	1	100%	1.50	21.0
Dust2	1	0%	0.79	15.0

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.

21.7%Headshot accuracy

42.1%Accuracy (enemy spotted)

42.6%Spray accuracy

91.1%Counter-strafing

9.1°Preaim

547msReaction time

29.5%T opening success

43.4%CT opening success

0.62Enemies flashed / flash

6.1%Flash assists

8.74HE damage / grenade

3.77Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7716 — below the 4 mark we flag
Grenade Lineups →
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 29.4994% — below the 40% mark we flag

Spend your practice time on Ancient

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 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	-0.03	21%	28 Aug →
dust2	10–13	-0.01	17%	28 Aug →
ancient	12–16	0.02	11%	26 Aug →
inferno	5–13	-0.00	18%	26 Aug →
dust2	2–13	-0.07	29%	26 Aug →
anubis	13–9	0.09	3%	25 Aug →
dust2	13–1	0.20	14%	25 Aug →
dust2	13–9	0.07	19%	25 Aug →
dust2	13–11	0.04	30%	24 Aug →
cache	13–2	0.01	32%	24 Aug →
inferno	13–5	0.06	39%	24 Aug →
mirage	13–5	0.05	26%	23 Aug →
cache	13–9	-0.03	21%	23 Aug →
cache	13–11	0.07	35%	23 Aug →
dust2	4–13	0.01	28%	23 Aug →
inferno	13–1	0.13	40%	22 Aug →
cache	10–10	0.01	25%	22 Aug →
mirage	5–13	0.00	17%	20 Aug →
ancient	7–13	-0.04	21%	20 Aug →
cache	13–11	0.10	16%	20 Aug →
inferno	4–13	0.01	42%	20 Aug →
dust2	8–13	-0.01	22%	20 Aug →
cache	14–16	-0.01	22%	19 Aug →
nuke	11–13	-0.02	16%	19 Aug →
inferno	13–11	-0.03	15%	19 Aug →
dust2	13–9	0.02	14%	19 Aug →
ancient	10–13	-0.04	25%	19 Aug →
cache	13–9	0.01	15%	18 Aug →
anubis	6–13	-0.04	20%	18 Aug →
cache	13–6	0.01	21%	17 Aug →
dust2	11–13	-0.01	29%	17 Aug →
inferno	13–7	0.09	26%	17 Aug →
inferno	4–5	0.01	20%	17 Aug →
nuke	13–9	0.04	23%	17 Aug →
mirage	16–13	0.04	24%	16 Aug →
ancient	13–8	0.04	26%	16 Aug →
dust2	13–3	0.07	23%	16 Aug →
mirage	6–13	-0.04	22%	16 Aug →
inferno	6–13	0.00	24%	16 Aug →
mirage	13–11	0.06	16%	16 Aug →
cache	8–13	0.02	25%	16 Aug →
dust2	15–15	0.11	19%	13 Aug →
mirage	9–13	0.05	17%	13 Aug →
cache	13–9	0.13	22%	12 Aug →
ancient	13–9	-0.04	17%	12 Aug →
inferno	13–6	0.06	25%	12 Aug →
inferno	6–13	0.00	18%	11 Aug →
cache	13–6	0.06	11%	11 Aug →
mirage	7–13	0.02	18%	11 Aug →
mirage	7–13	-0.04	27%	11 Aug →
dust2	13–2	0.22	21%	11 Aug →
dust2	11–13	0.06	27%	11 Aug →
anubis	5–13	0.05	15%	10 Aug →
ancient	13–2	0.19	25%	10 Aug →
cache	13–10	0.04	38%	10 Aug →
inferno	13–9	0.03	27%	9 Aug →
cache	5–13	-0.07	14%	9 Aug →
inferno	8–13	0.00	33%	8 Aug →
ancient	6–13	0.03	16%	8 Aug →
inferno	11–13	0.04	19%	8 Aug →
cache	13–7	0.08	14%	8 Aug →
ancient	13–7	0.06	16%	8 Aug →
inferno	16–13	0.05	23%	7 Aug →
inferno	9–13	0.07	17%	7 Aug →
mirage	13–9	-0.01	19%	7 Aug →
nuke	13–9	0.01	22%	6 Aug →
ancient	11–13	-0.00	13%	6 Aug →
nuke	13–3	0.05	18%	6 Aug →
cache	13–4	-0.03	10%	6 Aug →
mirage	13–11	-0.01	11%	6 Aug →
cache	11–13	-0.01	10%	4 Aug →
ancient	13–9	0.04	11%	3 Aug →
cache	13–7	0.01	15%	3 Aug →
dust2	11–13	0.02	11%	3 Aug →
cache	10–13	-0.04	27%	3 Aug →
inferno	13–4	0.00	18%	3 Aug →
ancient	10–13	0.02	17%	3 Aug →
ancient	13–9	0.08	16%	3 Aug →
dust2	13–3	0.15	13%	3 Aug →
mirage	7–13	-0.02	26%	2 Aug →
inferno	13–5	0.03	19%	1 Aug →
mirage	13–11	-0.02	18%	1 Aug →
cache	13–16	-0.01	21%	28 Jul →
ancient	8–13	0.02	23%	28 Jul →
ancient	15–15	-0.01	21%	27 Jul →
mirage	11–13	0.01	21%	27 Jul →
mirage	13–10	0.08	17%	26 Jul →
mirage	13–11	0.07	20%	26 Jul →
ancient	13–16	0.03	22%	26 Jul →
dust2	12–16	0.02	17%	26 Jul →
mirage	13–7	0.01	26%	26 Jul →
ancient	10–13	-0.02	14%	24 Jul →
inferno	16–12	-0.03	13%	11 May →
inferno	7–13	-0.05	21%	11 Apr →
inferno	10–13	0.03	19%	11 Apr →
overpass	7–13	-0.08	10%	11 Apr →
mirage	11–13	-0.04	33%	10 Apr →
inferno	5–13	-0.05	4%	10 Apr →
inferno	0–13	-0.09	28%	3 Apr →
mirage	4–13	-0.06	29%	2 Apr →