55555 — CS2 Stats

76561198865512518[U:1:905246790]Steam profile ↗

362Tracked matches46%Win rate2025Tracked since

CSDB Rating3.6 Learning

FaceitLevel 7 · 1,571 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning47

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateWLWLLWLLLW

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

Aim3.9

Aggression5.9

Utility3.2

Positioning4.7

Opening Duels2.2

Clutch3.2

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 Twistzz 78% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Positioning4.7

Utility3.2

Mechanics4.0

Opening Duels2.5

Win Impact3.7

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.05

first ⅓ avg 0.02 → last ⅓ avg -0.03

Reaction time639ms+42ms

first ⅓ avg 597ms → last ⅓ avg 639ms

Headshot accuracy13.8%−3.5%

first ⅓ avg 17.3% → last ⅓ avg 13.8%

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 5–8

13–0Biggest win — dust2

7Longest win streak

3–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 60% over 15nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	32	15–17	47%	0.02
ancient	A	19	11–8	58%	0.02
inferno	A	15	9–6	60%	0.02
mirage	C	14	5–9	36%	-0.01
nuke	D	11	3–8	27%	-0.05
anubis	B	8	4–4	50%	-0.02
italy	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

356Matches

49%Win rate

1.10Avg K/D

84.3ADR

44%Headshot %

Clutches & streaks

36%1v1 clutch win

17%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	101	53%	1.16	17.6
Inferno	73	55%	1.08	16.3
Dust2	70	43%	1.15	15.2
Mirage	56	52%	1.04	16.6
Nuke	33	42%	1.13	18.0
Anubis	15	47%	0.97	15.9
Train	7	29%	0.84	12.6
Overpass	1	0%	0.64	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.

14.4%Headshot accuracy

34.2%Accuracy (enemy spotted)

35.6%Spray accuracy

68.1%Counter-strafing

12.9°Preaim

639msReaction time

28.0%T opening success

50.0%CT opening success

0.52Enemies flashed / flash

2.8%Flash assists

6.47HE damage / grenade

4.86Flashes / 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 12.8727° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4105% — below the 15% mark we flag
Aim Training →

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.

27% win rate across 11 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
ancient	13–10	0.02	19%	19 May →
dust2	8–13	0.09	20%	11 May →
dust2	13–5	0.11	23%	10 May →
ancient	11–13	0.04	15%	4 May →
mirage	5–13	-0.07	10%	29 Apr →
dust2	13–9	0.10	22%	28 Apr →
dust2	11–13	-0.06	8%	28 Apr →
inferno	5–13	-0.02	16%	28 Apr →
ancient	0–13	-0.07	0%	28 Apr →
mirage	13–10	-0.02	20%	27 Apr →
nuke	12–12	-0.08	18%	24 Apr →
anubis	13–6	-0.04	13%	24 Apr →
italy	13–11	-0.06	13%	24 Apr →
mirage	13–2	-0.02	22%	24 Apr →
ancient	8–13	-0.01	11%	24 Apr →
inferno	12–12	-0.02	15%	24 Apr →
dust2	11–13	0.08	18%	24 Apr →
nuke	12–12	-0.04	8%	23 Apr →
mirage	13–8	-0.03	12%	23 Apr →
ancient	9–2	-0.05	5%	23 Apr →
ancient	5–13	-0.06	12%	23 Apr →
nuke	0–13	-0.12	10%	23 Apr →
dust2	13–9	-0.08	20%	23 Apr →
mirage	6–13	-0.09	4%	22 Apr →
dust2	4–13	-0.05	23%	22 Apr →
mirage	7–13	-0.05	5%	21 Apr →
anubis	13–9	-0.04	15%	21 Apr →
dust2	12–12	-0.05	16%	21 Apr →
dust2	9–13	-0.05	10%	21 Apr →
nuke	13–10	-0.03	16%	21 Apr →
inferno	12–12	-0.06	8%	21 Apr →
nuke	10–13	-0.07	14%	20 Apr →
dust2	11–13	-0.01	19%	17 Apr →
nuke	12–12	-0.07	26%	17 Apr →
dust2	6–13	0.05	24%	17 Apr →
nuke	2–13	-0.12	17%	17 Apr →
ancient	2–8	-0.02	32%	15 Apr →
anubis	11–13	-0.06	9%	12 Apr →
mirage	6–13	0.01	17%	31 Mar →
ancient	13–4	0.07	17%	31 Mar →
inferno	13–5	0.02	24%	31 Mar →
ancient	13–11	-0.00	15%	31 Mar →
dust2	13–10	-0.03	20%	30 Mar →
nuke	13–9	0.06	37%	30 Mar →
inferno	13–10	0.01	24%	30 Mar →
dust2	16–12	-0.02	15%	30 Mar →
dust2	8–13	-0.07	20%	29 Mar →
inferno	13–3	0.06	17%	29 Mar →
dust2	5–13	0.06	19%	28 Mar →
mirage	10–13	0.03	19%	26 Mar →
ancient	19–15	0.03	24%	25 Mar →
dust2	13–7	0.00	28%	11 Mar →
dust2	13–9	-0.03	16%	9 Mar →
dust2	4–13	-0.04	21%	8 Mar →
mirage	11–13	0.02	12%	7 Mar →
ancient	13–5	0.06	14%	7 Mar →
dust2	5–8	0.22	19%	6 Mar →
inferno	13–5	0.01	18%	6 Mar →
anubis	9–13	-0.04	15%	5 Mar →
inferno	13–6	-0.01	20%	4 Mar →
ancient	13–2	0.18	11%	4 Mar →
inferno	13–2	0.11	24%	4 Mar →
inferno	9–13	-0.00	25%	4 Mar →
dust2	11–13	0.04	19%	4 Mar →
ancient	13–10	0.00	12%	1 Mar →
dust2	7–13	0.09	24%	28 Feb →
ancient	7–13	-0.00	14%	28 Feb →
nuke	10–13	-0.07	14%	28 Feb →
anubis	9–13	-0.08	22%	27 Feb →
inferno	10–13	-0.02	15%	26 Feb →
inferno	13–10	0.05	20%	22 Feb →
mirage	9–13	-0.01	8%	20 Feb →
nuke	11–13	0.01	26%	20 Feb →
mirage	13–16	0.04	20%	17 Feb →
ancient	13–10	0.01	15%	17 Feb →
anubis	9–13	-0.03	7%	17 Feb →
inferno	12–12	-0.03	22%	13 Feb →
mirage	13–10	-0.02	13%	13 Feb →
nuke	13–7	-0.01	22%	12 Feb →
dust2	13–7	0.03	21%	12 Feb →
ancient	5–13	-0.06	15%	12 Feb →
dust2	13–4	0.02	32%	11 Feb →
dust2	13–3	-0.00	6%	7 Feb →
mirage	13–8	0.06	16%	6 Feb →
dust2	4–13	0.02	11%	5 Feb →
anubis	13–5	0.09	13%	4 Feb →
ancient	13–10	0.08	25%	31 Jan →
ancient	6–13	-0.01	12%	27 Jan →
dust2	13–9	0.11	18%	25 Jan →
inferno	13–1	0.10	34%	22 Jan →
dust2	13–9	0.04	15%	22 Jan →
anubis	13–5	0.07	14%	22 Jan →
ancient	11–1	0.08	16%	19 Dec →
dust2	13–10	0.06	17%	18 Dec →
dust2	4–13	-0.08	15%	17 Dec →
dust2	13–10	0.08	20%	16 Dec →
inferno	13–11	0.08	16%	16 Dec →
dust2	7–13	-0.04	13%	16 Dec →
mirage	6–7	0.00	12%	15 Dec →
dust2	13–0	0.11	26%	15 Dec →