amaclyde — CS2 Stats

76561198072036135[U:1:111770407]

783Tracked matches60%Win rate2024Tracked since

CSDB Rating3.4 Learning

FaceitLevel 5 · 1,057 ELOTop 67.6% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning35

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWWLLWLWWLL

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

Player DNA

Aim3.9

Aggression1.0

Utility3.7

Positioning3.5

Opening Duels0.0

Clutch3.0

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: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9

Positioning3.5

Utility3.7

Mechanics3.7

Opening Duels0.0

Win Impact8.3

Composite 3.4/10 (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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time605ms−16ms

first ⅓ avg 622ms → last ⅓ avg 605ms

Headshot accuracy16.0%−0.5%

first ⅓ avg 16.4% → last ⅓ avg 16.0%

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

0.14Best rating — dust2 13–5

13–1Biggest win — ancient

8Longest win streak

W2Current streak

10–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 80% over 5nukeWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	11–12	48%	-0.03
dust2	B	21	10–11	48%	-0.01
anubis	B	13	7–6	54%	0.00
nuke	D	12	4–8	33%	-0.02
cache	A	11	7–4	64%	-0.02
ancient	A	11	7–4	64%	-0.01
inferno	S	5	4–1	80%	-0.03
vertigo	—	4	2–2	50%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

830Matches

50%Win rate

0.89Avg K/D

64.5ADR

37%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	269	48%	0.90	12.8
Dust2	142	57%	0.92	13.7
Nuke	102	46%	0.87	12.1
Anubis	102	52%	0.88	12.3
Inferno	80	40%	0.81	11.9
Ancient	65	51%	0.96	12.4
Cache	32	59%	0.87	11.4
Overpass	16	69%	1.03	14.6

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.

16.1%Headshot accuracy

31.7%Accuracy (enemy spotted)

35.0%Spray accuracy

66.5%Counter-strafing

12.6°Preaim

609msReaction time

21.9%T opening success

28.8%CT opening success

0.44Enemies flashed / flash

7.5%Flash assists

7.11HE damage / grenade

3.13Flashes / 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 12.577° — 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 0.4409 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	-0.02	26%	20 Aug →
ancient	13–9	-0.05	24%	20 Aug →
ancient	9–13	-0.02	16%	18 Aug →
ancient	3–13	-0.10	11%	17 Aug →
mirage	13–8	-0.01	13%	16 Aug →
nuke	8–13	-0.05	14%	16 Aug →
cache	13–9	-0.04	9%	16 Aug →
cache	16–12	0.03	9%	14 Aug →
dust2	20–22	-0.01	23%	13 Aug →
nuke	13–16	-0.07	9%	10 Aug →
nuke	13–9	0.02	14%	8 Aug →
mirage	13–11	-0.05	17%	8 Aug →
mirage	7–13	-0.02	9%	8 Aug →
mirage	13–7	0.01	12%	8 Aug →
vertigo	4–13	-0.06	19%	8 Aug →
anubis	13–11	-0.02	22%	8 Aug →
dust2	12–16	-0.05	16%	8 Aug →
mirage	10–13	-0.06	16%	7 Aug →
anubis	13–6	0.06	27%	7 Aug →
dust2	13–7	-0.00	12%	7 Aug →
anubis	8–13	0.01	20%	7 Aug →
anubis	4–13	-0.02	23%	6 Aug →
ancient	13–5	0.01	20%	6 Aug →
anubis	13–10	-0.01	6%	6 Aug →
ancient	13–10	0.00	18%	6 Aug →
vertigo	16–14	0.03	12%	6 Aug →
vertigo	5–13	-0.05	18%	5 Aug →
cache	13–7	-0.01	20%	5 Aug →
vertigo	13–4	0.01	14%	5 Aug →
dust2	13–7	0.05	16%	5 Aug →
dust2	13–5	0.14	18%	5 Aug →
ancient	13–3	0.05	13%	5 Aug →
cache	13–6	0.02	10%	3 Aug →
dust2	13–4	0.11	27%	3 Aug →
nuke	13–4	-0.04	12%	3 Aug →
dust2	7–13	-0.04	18%	3 Aug →
mirage	11–13	0.01	16%	2 Aug →
dust2	5–13	-0.05	17%	2 Aug →
mirage	13–8	-0.01	21%	2 Aug →
ancient	13–6	-0.02	21%	2 Aug →
inferno	16–14	-0.01	14%	2 Aug →
mirage	16–14	-0.07	14%	2 Aug →
dust2	3–13	-0.06	12%	1 Aug →
mirage	13–5	-0.06	14%	1 Aug →
mirage	6–13	-0.02	10%	1 Aug →
mirage	9–13	0.01	10%	1 Aug →
nuke	9–13	-0.06	11%	1 Aug →
nuke	10–13	-0.02	11%	1 Aug →
mirage	10–13	-0.06	20%	1 Aug →
anubis	8–13	0.05	18%	1 Aug →
anubis	9–13	0.00	11%	1 Aug →
nuke	13–11	0.02	15%	31 Jul →
cache	8–13	-0.06	10%	30 Jul →
mirage	13–16	-0.04	11%	29 Jul →
mirage	25–23	-0.03	5%	29 Jul →
cache	13–8	-0.02	12%	29 Jul →
inferno	13–5	0.02	17%	29 Jul →
nuke	4–13	-0.04	14%	29 Jul →
anubis	13–6	-0.01	13%	28 Jul →
nuke	13–8	-0.00	13%	28 Jul →
cache	8–13	-0.05	14%	28 Jul →
mirage	13–7	0.01	15%	27 Jul →
cache	7–13	-0.06	8%	27 Jul →
dust2	13–3	0.03	18%	27 Jul →
anubis	10–13	-0.04	7%	26 Jul →
inferno	13–9	-0.05	12%	26 Jul →
anubis	6–13	-0.01	11%	26 Jul →
nuke	11–13	0.03	14%	26 Jul →
dust2	13–9	-0.02	16%	24 Jul →
ancient	7–13	-0.10	16%	23 Jul →
mirage	7–13	-0.07	14%	23 Jul →
dust2	11–13	-0.14	19%	23 Jul →
dust2	10–13	-0.03	20%	22 Jul →
nuke	9–13	-0.00	16%	22 Jul →
mirage	13–11	-0.06	19%	22 Jul →
cache	8–13	-0.01	13%	22 Jul →
ancient	3–13	-0.04	12%	22 Jul →
mirage	13–7	-0.02	12%	22 Jul →
dust2	5–13	-0.05	12%	21 Jul →
ancient	13–1	0.11	14%	21 Jul →
mirage	2–13	-0.07	7%	21 Jul →
inferno	5–13	-0.10	19%	21 Jul →
dust2	13–11	-0.05	31%	20 Jul →
nuke	8–13	-0.07	16%	20 Jul →
anubis	13–9	-0.04	14%	20 Jul →
anubis	13–8	0.03	14%	20 Jul →
dust2	19–16	0.00	23%	20 Jul →
dust2	13–10	-0.01	22%	20 Jul →
dust2	11–13	-0.02	24%	19 Jul →
dust2	5–13	-0.10	21%	19 Jul →
cache	13–9	0.03	16%	17 Jul →
inferno	13–8	0.01	14%	17 Jul →
dust2	13–9	-0.01	11%	17 Jul →
mirage	8–13	-0.05	16%	16 Jul →
dust2	6–13	0.01	28%	15 Jul →
anubis	13–5	0.05	14%	15 Jul →
ancient	13–9	0.03	12%	15 Jul →
mirage	13–11	0.00	17%	15 Jul →
mirage	15–19	0.02	15%	15 Jul →
mirage	14–16	-0.03	11%	14 Jul →