MaXi — CS2 Stats

FI76561198348690223[U:1:388424495]Steam profile ↗✓ No bans

388Tracked matches40%Win rate2022Tracked since

CSDB Rating3.8 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning39

Utility22

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateLLLWLWLWLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.5

Aggression3.0

Utility2.2

Positioning3.9

Opening Duels0.0

Clutch3.6

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 67% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution; 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

Reaction time. 693ms 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

Aim4.5

Positioning3.9

Utility2.2

Mechanics7.8

Opening Duels0.2

Win Impact1.7

Composite 3.8/10 (Learning), 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-0.02+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time698ms+16ms

first ⅓ avg 682ms → last ⅓ avg 698ms

Headshot accuracy16.5%−2.7%

first ⅓ avg 19.1% → last ⅓ avg 16.5%

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

0.20Best rating — overpass 9–1

12–0Biggest win — nuke

3Longest win streak

L3Current streak

9–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

vertigoBest map · 70% over 10ancientWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	12–14	46%	-0.03
ancient	C	20	7–13	35%	-0.02
nuke	C	14	6–8	43%	-0.02
train	S	12	8–4	67%	-0.04
vertigo	S	10	7–3	70%	-0.01
anubis	A	5	3–2	60%	0.01
overpass	—	4	2–2	50%	-0.01
inferno	—	4	3–1	75%	-0.00
dust2	—	3	0–3	0%	-0.05
cache	—	1	0–1	0%	-0.04
palais	—	1	0–1	0%	-0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

136Matches

49%Win rate

0.86Avg K/D

62.7ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	41	49%	0.90	12.1
Ancient	27	48%	0.87	11.7
Anubis	20	50%	0.87	12.8
Inferno	13	62%	0.83	12.0
Nuke	12	50%	1.02	13.5
Dust2	8	12%	0.69	11.9
Train	3	33%	0.51	7.0

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.

16.9%Headshot accuracy

28.9%Accuracy (enemy spotted)

28.6%Spray accuracy

85.2%Counter-strafing

10.4°Preaim

693msReaction time

28.1%T opening success

31.2%CT opening success

0.40Enemies flashed / flash

1.5%Flash assists

8.03HE damage / grenade

4.47Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3995 — below the 0.5 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 28.1479% — 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.

35% win rate across 20 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
ancient	9–13	0.04	26%	7 Aug →
cache	6–13	-0.04	26%	7 Aug →
nuke	5–13	-0.07	25%	7 Aug →
nuke	12–0	0.03	21%	7 Aug →
ancient	10–13	-0.05	13%	7 Aug →
mirage	13–6	-0.06	7%	17 Jan →
mirage	7–13	-0.08	6%	3 Jan →
nuke	13–9	-0.02	16%	21 Nov →
overpass	3–9	-0.12	16%	7 Sept →
mirage	14–16	-0.05	16%	29 Aug →
nuke	7–13	-0.00	15%	22 Aug →
overpass	5–13	-0.09	8%	22 Aug →
ancient	1–13	-0.07	8%	22 Aug →
mirage	6–13	-0.01	7%	22 Aug →
ancient	10–13	0.00	17%	22 Aug →
ancient	13–10	-0.04	3%	21 Aug →
ancient	13–9	-0.00	20%	21 Aug →
inferno	10–13	-0.02	31%	21 Aug →
nuke	13–9	-0.01	8%	21 Aug →
train	5–13	-0.03	15%	16 Aug →
overpass	10–3	-0.03	17%	16 Aug →
ancient	13–6	0.01	28%	15 Aug →
vertigo	13–5	-0.00	11%	15 Aug →
nuke	3–13	-0.06	5%	15 Aug →
vertigo	11–13	-0.03	18%	18 May →
mirage	13–11	-0.05	20%	4 Apr →
overpass	9–1	0.20	12%	2 Apr →
vertigo	9–3	0.08	14%	2 Apr →
vertigo	6–13	-0.02	18%	28 Mar →
ancient	13–9	0.01	16%	28 Mar →
mirage	7–13	-0.03	29%	28 Mar →
ancient	9–13	-0.07	32%	28 Mar →
nuke	13–6	-0.01	21%	18 Mar →
mirage	13–6	0.03	19%	13 Mar →
mirage	13–3	0.02	29%	13 Mar →
mirage	11–13	-0.02	13%	27 Feb →
inferno	13–6	0.02	13%	27 Feb →
ancient	13–4	0.07	21%	26 Feb →
mirage	10–13	-0.08	8%	25 Feb →
mirage	16–14	0.01	21%	25 Feb →
mirage	13–5	-0.02	17%	24 Feb →
nuke	8–13	-0.06	9%	24 Feb →
nuke	13–6	0.03	25%	23 Feb →
train	13–7	-0.02	26%	23 Feb →
ancient	3–13	-0.02	11%	11 Feb →
train	13–8	0.02	18%	11 Feb →
ancient	8–13	-0.08	28%	11 Feb →
nuke	10–13	-0.02	17%	11 Feb →
mirage	13–3	-0.05	18%	11 Feb →
mirage	15–15	-0.05	19%	8 Feb →
mirage	13–11	-0.05	5%	8 Feb →
ancient	9–13	-0.04	10%	8 Feb →
train	13–8	-0.00	16%	7 Feb →
ancient	11–13	-0.07	16%	7 Feb →
anubis	13–1	0.05	20%	5 Feb →
vertigo	13–11	-0.06	11%	1 Feb →
train	5–13	0.01	18%	1 Feb →
nuke	8–13	-0.05	12%	1 Feb →
inferno	13–9	0.04	22%	1 Feb →
nuke	4–13	0.02	14%	31 Jan →
ancient	3–13	-0.07	14%	31 Jan →
train	13–3	-0.05	24%	29 Jan →
nuke	13–9	0.00	19%	29 Jan →
mirage	7–13	-0.03	32%	29 Jan →
mirage	5–13	-0.04	19%	28 Jan →
dust2	10–13	-0.04	27%	23 Jan →
mirage	4–13	-0.02	6%	22 Jan →
ancient	9–13	-0.07	10%	18 Jan →
anubis	13–8	-0.05	14%	7 Jan →
mirage	15–15	-0.07	17%	3 Jan →
ancient	13–8	-0.07	11%	3 Jan →
mirage	13–10	-0.04	19%	3 Jan →
anubis	10–13	-0.03	24%	1 Jan →
vertigo	13–10	0.03	24%	1 Jan →
anubis	7–13	0.01	21%	1 Jan →
mirage	13–11	0.00	19%	21 Dec →
mirage	13–5	-0.03	17%	18 Dec →
mirage	8–13	-0.05	19%	16 Dec →
ancient	13–11	-0.06	14%	19 Nov →
train	0–13	-0.11	20%	19 Nov →
train	13–11	-0.09	12%	19 Nov →
train	13–8	-0.02	9%	18 Nov →
train	11–13	-0.13	10%	18 Nov →
palais	2–9	-0.13	20%	18 Nov →
train	13–6	-0.05	23%	16 Nov →
train	13–11	-0.02	28%	16 Nov →
vertigo	16–13	0.03	12%	6 Nov →
ancient	11–13	0.02	20%	6 Nov →
mirage	6–13	-0.06	32%	23 Oct →
vertigo	5–13	-0.05	14%	23 Sept →
vertigo	13–11	-0.03	30%	18 Sept →
anubis	13–10	0.04	16%	9 Sept →
ancient	3–11	0.06	28%	4 Aug →
nuke	6–13	-0.05	20%	4 Aug →
mirage	10–13	-0.06	10%	3 Aug →
inferno	13–3	-0.05	32%	9 Jun →
dust2	5–13	-0.04	8%	9 Jun →
vertigo	13–7	-0.05	9%	9 Jun →
mirage	13–10	0.00	13%	9 Jun →
dust2	2–9	-0.07	60%	12 May →