ASaltyCroutons — CS2 Stats

76561198184019054[U:1:223753326]✓ No bans

2,756Tracked matches53%Win rate2021Tracked since

CSDB Rating4.7 Developing

Premier CS Rating21,231Pink band · top ~7.1% of ranked players (population est.)

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning38

Utility54

0–100 skill scores via Leetify.

Recent form

HOT47–49–4Last 10047%Win rateWLWWWWLLWW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim5.6

Aggression3.4

Utility5.4

Positioning3.8

Opening Duels0.1

Clutch3.8

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 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 38% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 691ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.6

Positioning3.8

Utility5.4

Mechanics4.3

Opening Duels1.0

Win Impact6.1

Composite 4.7/10 (Developing), 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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time691ms+3ms

first ⅓ avg 688ms → last ⅓ avg 691ms

Headshot accuracy19.7%+2.0%

first ⅓ avg 17.7% → last ⅓ avg 19.7%

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

0.13Best rating — nuke 13–10

13–3Biggest win — cache

4Longest win streak

7–2In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 67% over 6anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	21	7–14	33%	-0.00
nuke	A	15	9–6	60%	0.01
cache	B	15	8–7	53%	-0.00
ancient	B	11	5–6	45%	-0.01
dust2	B	10	5–5	50%	-0.02
anubis	D	6	1–5	17%	-0.00
inferno	S	6	4–2	67%	-0.01
vertigo	—	4	1–3	25%	0.00
shelter	—	3	3–0	100%	0.00
overpass	—	3	2–1	67%	0.02
office	—	2	0–2	0%	-0.02
fachwerk	—	1	1–0	100%	0.02
boulder	—	1	0–1	0%	0.01
train	—	1	0–1	0%	-0.02
alpine	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

191Matches

53%Win rate

0.93Avg K/D

70.8ADR

44%Headshot %

Clutches & streaks

39%1v1 clutch win

16%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	54	50%	0.93	13.1
Ancient	25	44%	1.10	15.3
Anubis	20	55%	1.01	15.3
Dust2	20	50%	0.72	12.0
Cache	20	70%	0.89	10.8
Inferno	18	33%	0.71	11.7
Overpass	13	69%	1.12	15.4
Nuke	11	64%	0.84	13.6

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.

18.7%Headshot accuracy

34.9%Accuracy (enemy spotted)

41.6%Spray accuracy

69.2%Counter-strafing

10.2°Preaim

691msReaction time

23.0%T opening success

38.0%CT opening success

0.63Enemies flashed / flash

4.9%Flash assists

9.20HE damage / grenade

7.49Flashes / 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 22.9565% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	-0.06	23%	23 Aug →
anubis	9–13	0.00	12%	23 Aug →
nuke	10–3	0.02	20%	23 Aug →
mirage	13–6	-0.01	31%	23 Aug →
inferno	13–11	-0.03	20%	18 Jul →
mirage	13–5	0.04	16%	18 Jul →
ancient	6–13	-0.03	28%	17 Jul →
mirage	7–13	-0.00	15%	16 Jul →
shelter	13–4	0.04	42%	16 Jul →
dust2	13–5	-0.02	14%	16 Jul →
nuke	10–3	-0.01	8%	16 Jul →
anubis	1–6	0.03	17%	16 Jul →
mirage	6–13	-0.00	16%	16 Jul →
shelter	13–11	-0.03	50%	12 Jul →
anubis	9–13	0.06	12%	12 Jul →
mirage	6–13	0.04	20%	12 Jul →
inferno	13–10	-0.05	18%	12 Jul →
nuke	13–10	0.06	12%	11 Jul →
cache	13–4	0.08	20%	11 Jul →
mirage	7–13	-0.02	6%	11 Jul →
ancient	13–10	-0.06	11%	11 Jul →
dust2	13–8	-0.00	22%	11 Jul →
cache	10–13	0.04	6%	11 Jul →
anubis	0–9	-0.08	7%	11 Jul →
nuke	6–13	-0.05	25%	10 Jul →
cache	6–13	-0.04	17%	10 Jul →
cache	13–7	-0.01	19%	10 Jul →
mirage	8–13	0.04	9%	10 Jul →
cache	4–13	-0.02	6%	10 Jul →
fachwerk	13–10	0.02	29%	10 Jul →
shelter	13–10	-0.00	16%	9 Jul →
boulder	3–13	0.01	17%	9 Jul →
office	10–13	-0.03	67%	9 Jul →
office	12–12	-0.01	25%	9 Jul →
mirage	9–13	-0.03	9%	9 Jul →
mirage	1–8	-0.08	18%	9 Jul →
cache	13–11	-0.03	23%	9 Jul →
nuke	12–12	-0.03	18%	9 Jul →
anubis	15–15	-0.05	28%	9 Jul →
cache	13–8	-0.02	10%	8 Jul →
anubis	13–8	0.04	16%	7 Jul →
mirage	10–13	-0.08	6%	7 Jul →
ancient	4–11	-0.04	19%	6 Jul →
dust2	5–13	-0.01	5%	6 Jul →
ancient	4–13	-0.05	6%	5 Jul →
ancient	4–13	-0.00	8%	5 Jul →
nuke	9–13	-0.06	8%	4 Jul →
ancient	13–10	0.01	17%	4 Jul →
mirage	6–11	-0.03	2%	4 Jul →
overpass	13–5	-0.01	14%	4 Jul →
nuke	13–11	0.10	22%	3 Jul →
mirage	13–4	0.02	5%	3 Jul →
cache	12–12	0.01	18%	3 Jul →
mirage	10–13	-0.07	12%	3 Jul →
vertigo	13–5	0.03	25%	3 Jul →
nuke	13–11	-0.01	26%	2 Jul →
ancient	13–4	0.01	13%	2 Jul →
inferno	3–9	0.06	18%	2 Jul →
mirage	13–6	0.00	29%	2 Jul →
train	3–13	-0.02	10%	2 Jul →
nuke	9–13	-0.03	16%	1 Jul →
vertigo	7–13	-0.04	32%	1 Jul →
cache	3–13	-0.02	28%	1 Jul →
mirage	13–9	0.10	37%	1 Jul →
nuke	13–11	0.03	8%	1 Jul →
cache	11–13	-0.07	13%	30 Jun →
ancient	8–13	-0.05	12%	30 Jun →
mirage	7–13	0.02	21%	29 Jun →
ancient	13–7	0.05	24%	29 Jun →
cache	13–3	-0.04	20%	29 Jun →
vertigo	7–13	0.01	35%	29 Jun →
mirage	13–5	0.00	13%	29 Jun →
alpine	13–10	0.09	11%	29 Jun →
dust2	1–7	-0.01	19%	27 Jun →
nuke	9–13	0.05	18%	27 Jun →
ancient	6–13	0.01	18%	27 Jun →
nuke	13–10	0.13	17%	27 Jun →
vertigo	9–13	0.01	20%	27 Jun →
inferno	7–13	-0.01	18%	27 Jun →
cache	13–4	0.10	15%	27 Jun →
cache	13–6	-0.01	7%	21 Jun →
dust2	4–13	-0.01	21%	21 Jun →
nuke	6–13	-0.03	16%	21 Jun →
dust2	16–14	-0.04	15%	21 Jun →
dust2	10–13	0.02	16%	21 Jun →
overpass	4–13	-0.01	12%	21 Jun →
nuke	13–4	0.07	16%	21 Jun →
cache	9–13	-0.06	21%	21 Jun →
inferno	13–7	-0.01	16%	21 Jun →
mirage	13–16	-0.02	13%	20 Jun →
overpass	13–7	0.09	15%	20 Jun →
dust2	2–11	-0.04	18%	20 Jun →
nuke	13–8	-0.03	18%	20 Jun →
ancient	10–3	0.02	12%	19 Jun →
mirage	13–5	0.00	19%	19 Jun →
mirage	10–13	-0.03	28%	19 Jun →
cache	13–9	0.06	25%	18 Jun →
dust2	13–3	0.00	19%	18 Jun →
mirage	11–13	-0.00	13%	17 Jun →
inferno	13–9	0.01	17%	17 Jun →