AXOMAT1C — CS2 Stats

76561198053431356[U:1:93165628]✓ No bans

4,167Tracked matches31%Win rate2020Tracked since

9,501Hours in CS19Hrs last 2 wks

CSDB Rating2.9 Learning

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim32

Positioning46

Utility12

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLWLLWLLLWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim3.2

Aggression6.2

Utility1.2

Positioning4.6

Opening Duels2.7

Clutch0.4

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 ropz 72% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 54% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 672ms 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

Aim3.2

Positioning4.6

Utility1.2

Mechanics5.8

Opening Duels3.0

Win Impact0.0

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time683ms+18ms

first ⅓ avg 666ms → last ⅓ avg 683ms

Headshot accuracy22.9%−0.7%

first ⅓ avg 23.6% → last ⅓ avg 22.9%

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

0.10Best rating — inferno 13–3

13–2Biggest win — inferno

5Longest win streak

7–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 50% over 14ancientWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	14–19	42%	-0.03
mirage	C	23	10–13	43%	-0.04
inferno	B	14	7–7	50%	-0.03
ancient	C	10	4–6	40%	-0.04
nuke	C	10	4–6	40%	-0.03
anubis	—	3	1–2	33%	0.01
cache	—	3	3–0	100%	-0.01
overpass	—	2	1–1	50%	-0.03
office	—	1	0–1	0%	-0.06
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

251,090Lifetime kills

0.54K/D

9,962Matches

42.7%Match win rate

61.4%Headshot % · Top 10% of tracked players

10.2%Shot accuracy

24,232MVPs

22,875Hours (in match)

5,383Bombs planted

1,561Bombs defused

Most-used weapons

AK-47120,781

M4A4 / M4A1-S32,132

P2000 / USP-S25,338

Desert Eagle22,649

AWP22,420

Glock-188,645

FAMAS3,983

Knife2,652

MAC-102,559

MP92,178

Lifetime map wins

36,963dust2

12,874inferno

8,112nuke

2,015vertigo

1,031train

382office

285cbble

59lake

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

Faceit stats

Combat

596Matches

48%Win rate

0.80Avg K/D

69.5ADR

48%Headshot %

Clutches & streaks

22%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	29	34%	0.74	13.2
Mirage	29	45%	0.80	13.8
Dust2	22	55%	0.76	12.2
Ancient	21	48%	0.80	15.4
Inferno	15	33%	0.85	13.7
Vertigo	14	79%	0.98	16.1
Nuke	7	57%	1.01	13.9
Overpass	2	0%	0.53	9.0

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.

23.4%Headshot accuracy

25.5%Accuracy (enemy spotted)

29.2%Spray accuracy

75.9%Counter-strafing

14.1°Preaim

672msReaction time

27.2%T opening success

54.2%CT opening success

0.25Enemies flashed / flash

0.0%Flash assists

7.45HE damage / grenade

1.08Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.1487° — above the 12° mark we flag
Aim Training →
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 0.2505 — below the 0.5 mark we flag
Grenade Lineups →

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.

40% win rate across 10 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
inferno	9–13	0.02	15%	28 Aug →
dust2	13–9	-0.03	23%	28 Aug →
mirage	5–13	-0.01	24%	28 Aug →
dust2	3–13	-0.08	17%	28 Aug →
dust2	13–4	0.02	15%	28 Aug →
dust2	11–13	-0.02	16%	28 Aug →
dust2	4–13	-0.04	17%	28 Aug →
ancient	7–13	-0.03	20%	28 Aug →
dust2	13–6	0.06	19%	28 Aug →
ancient	11–13	0.02	20%	28 Aug →
anubis	11–13	0.08	19%	28 Aug →
mirage	8–13	-0.03	14%	28 Aug →
dust2	5–13	0.01	34%	28 Aug →
nuke	7–13	-0.00	14%	28 Aug →
cache	13–6	-0.01	24%	27 Aug →
anubis	13–11	-0.00	23%	27 Aug →
inferno	13–3	0.10	33%	27 Aug →
dust2	4–13	-0.05	32%	27 Jul →
mirage	13–11	-0.05	22%	27 Jul →
mirage	11–13	-0.05	50%	16 Jul →
cache	13–6	-0.01	27%	13 Jul →
mirage	7–13	-0.02	32%	6 Jul →
dust2	13–9	-0.02	25%	6 Jul →
mirage	10–13	-0.03	20%	5 Jul →
dust2	8–13	-0.07	30%	5 Jul →
dust2	1–13	-0.05	23%	5 Jul →
mirage	8–13	-0.04	23%	4 Jul →
ancient	14–16	-0.05	21%	1 Jul →
ancient	4–13	-0.09	21%	1 Jul →
mirage	15–15	-0.02	28%	29 Jun →
mirage	13–10	-0.01	21%	23 Jun →
dust2	13–7	0.00	19%	23 Jun →
anubis	8–13	-0.05	15%	23 Jun →
inferno	13–2	-0.04	30%	23 Jun →
dust2	1–13	-0.05	17%	21 Jun →
mirage	3–13	-0.01	23%	21 Jun →
ancient	9–13	-0.02	33%	20 Jun →
mirage	13–10	0.03	28%	17 Jun →
nuke	11–13	-0.02	46%	16 Jun →
dust2	10–13	0.01	26%	16 Jun →
mirage	13–6	-0.02	17%	15 Jun →
nuke	15–15	-0.05	21%	15 Jun →
inferno	6–13	-0.07	24%	14 Jun →
dust2	6–13	-0.05	9%	14 Jun →
dust2	6–13	-0.08	30%	14 Jun →
dust2	4–13	-0.10	100%	14 Jun →
inferno	13–7	-0.09	28%	14 Jun →
dust2	13–3	0.00	19%	14 Jun →
overpass	12–5	-0.02	42%	14 Jun →
dust2	5–13	-0.02	40%	13 Jun →
mirage	6–13	-0.08	27%	13 Jun →
ancient	13–4	0.01	38%	10 Jun →
nuke	13–11	-0.05	27%	9 Jun →
nuke	13–8	0.03	20%	9 Jun →
dust2	9–13	-0.07	20%	8 Jun →
mirage	4–13	-0.10	13%	8 Jun →
dust2	15–15	0.01	18%	8 Jun →
mirage	13–10	-0.03	23%	7 Jun →
dust2	13–5	-0.03	31%	7 Jun →
cache	13–10	-0.01	23%	6 Jun →
dust2	13–4	0.02	29%	5 Jun →
overpass	10–13	-0.03	29%	5 Jun →
inferno	13–5	-0.05	13%	5 Jun →
nuke	13–16	-0.05	15%	5 Jun →
mirage	13–11	-0.06	18%	5 Jun →
inferno	11–13	-0.10	23%	5 Jun →
inferno	8–13	-0.04	20%	5 Jun →
ancient	13–10	-0.08	5%	4 Jun →
mirage	13–11	-0.05	14%	4 Jun →
mirage	13–5	-0.05	23%	4 Jun →
dust2	13–10	0.04	18%	4 Jun →
mirage	7–13	-0.07	30%	4 Jun →
ancient	3–13	-0.05	15%	4 Jun →
inferno	7–13	-0.05	45%	4 Jun →
nuke	5–13	-0.08	25%	4 Jun →
office	5–13	-0.06	38%	4 Jun →
train	2–13	-0.06	21%	4 Jun →
mirage	13–8	-0.00	23%	4 Jun →
dust2	13–2	-0.02	33%	4 Jun →
inferno	10–13	-0.01	31%	4 Jun →
inferno	16–14	-0.01	22%	4 Jun →
dust2	8–13	-0.03	21%	4 Jun →
ancient	13–8	-0.04	20%	4 Jun →
mirage	13–6	0.00	33%	4 Jun →
dust2	13–5	-0.04	24%	4 Jun →
ancient	13–10	-0.05	20%	4 Jun →
dust2	16–13	0.04	21%	3 Jun →
mirage	1–13	-0.07	30%	3 Jun →
dust2	13–8	0.01	31%	3 Jun →
nuke	13–11	-0.03	16%	3 Jun →
nuke	10–13	-0.02	22%	3 Jun →
dust2	2–13	-0.08	19%	3 Jun →
nuke	13–8	-0.07	7%	2 Jun →
inferno	8–13	-0.04	22%	2 Jun →
inferno	13–6	-0.08	12%	2 Jun →
dust2	5–13	-0.05	39%	2 Jun →
mirage	11–13	-0.07	15%	2 Jun →
dust2	13–7	-0.01	29%	2 Jun →
inferno	13–2	0.08	37%	2 Jun →
dust2	7–13	-0.07	15%	1 Jun →