Particle in Box — CS2 Stats

76561198318983148[U:1:358717420]Steam profile ↗✓ No bans

598Tracked matches67%Win rate2025Tracked since

CSDB Rating4.9 Developing

FaceitLevel 3 · 826 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning47

Utility25

0–100 skill scores via Leetify.

Recent form

HOT52–42–6Last 10052%Win rateLWWWWWWLLW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Aim5.8

Aggression6.6

Utility2.5

Positioning4.7

Opening Duels2.1

Clutch2.0

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 Twistzz 80% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 642ms 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

Aim5.8

Positioning4.7

Utility2.5

Mechanics7.7

Opening Duels2.1

Win Impact10.0

Composite 4.9/10 (Developing), 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 -0.01 → last ⅓ avg -0.01

Reaction time644ms+14ms

first ⅓ avg 630ms → last ⅓ avg 644ms

Headshot accuracy13.3%−0.8%

first ⅓ avg 14.2% → last ⅓ avg 13.3%

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

0.11Best rating — nuke 13–2

13–0Biggest win — anubis

8Longest win streak

5–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

officeBest map · 88% over 8infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	17	10–7	59%	-0.00
mirage	B	16	8–8	50%	-0.01
ancient	S	11	8–3	73%	-0.00
dust2	D	10	3–7	30%	-0.00
anubis	S	9	6–3	67%	0.01
office	S	8	7–1	88%	0.01
overpass	D	7	2–5	29%	-0.03
inferno	D	5	1–4	20%	-0.04
cache	—	4	1–3	25%	-0.07
alpine	—	3	2–1	67%	-0.02
vertigo	—	2	1–1	50%	-0.04
train	—	2	1–1	50%	-0.06
warden	—	2	0–2	0%	0.03
stronghold	—	2	1–1	50%	0.01
shelter	—	1	1–0	100%	-0.01
sanctum	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches

68%Win rate

1.03Avg K/D

78.4ADR

37%Headshot %

Clutches & streaks

30%1v1 clutch win

12%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	78%	0.92	14.4
Anubis	5	80%	1.13	15.8
Inferno	2	0%	0.67	13.5
Dust2	2	50%	0.70	14.5
Nuke	1	100%	2.80	14.0

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.

13.1%Headshot accuracy

34.3%Accuracy (enemy spotted)

33.9%Spray accuracy

84.6%Counter-strafing

10.2°Preaim

642msReaction time

39.9%T opening success

36.7%CT opening success

0.32Enemies flashed / flash

2.0%Flash assists

7.74HE damage / grenade

4.67Flashes / 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.

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 13.1332% — below the 15% 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 0.3177 — 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 39.9269% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	6–13	-0.06	8%	26 Jul →
nuke	13–6	-0.05	11%	26 Jul →
shelter	13–8	-0.01	19%	16 Jul →
ancient	13–10	-0.02	11%	11 Jul →
ancient	13–11	-0.08	8%	11 Jul →
nuke	13–7	-0.02	7%	11 Jul →
mirage	13–4	0.11	16%	28 Jun →
mirage	7–13	-0.03	13%	21 Jun →
mirage	7–13	-0.02	13%	30 May →
nuke	13–9	-0.01	9%	17 May →
cache	10–13	-0.07	12%	11 May →
cache	13–11	-0.07	8%	5 May →
cache	5–13	-0.08	8%	4 May →
cache	4–13	-0.05	18%	4 May →
anubis	13–7	-0.04	12%	5 Apr →
nuke	7–13	-0.01	11%	5 Apr →
anubis	13–5	0.11	14%	5 Apr →
nuke	9–13	-0.00	12%	5 Apr →
office	13–8	0.03	18%	5 Apr →
office	13–7	0.02	23%	5 Apr →
office	13–1	0.06	24%	5 Apr →
office	13–4	-0.05	6%	4 Apr →
office	13–6	0.06	29%	26 Mar →
office	13–11	0.01	14%	26 Mar →
vertigo	13–6	-0.01	9%	25 Mar →
nuke	13–11	-0.00	18%	14 Mar →
mirage	4–10	0.01	19%	7 Mar →
overpass	9–13	-0.04	7%	26 Feb →
anubis	13–4	0.03	8%	26 Feb →
inferno	13–7	-0.07	13%	23 Feb →
nuke	9–13	-0.02	14%	17 Feb →
ancient	13–1	-0.05	3%	16 Feb →
office	12–12	-0.02	24%	16 Feb →
ancient	13–1	0.04	11%	14 Feb →
mirage	13–5	-0.03	13%	14 Feb →
nuke	13–2	0.11	33%	14 Feb →
ancient	13–9	0.00	5%	7 Feb →
train	13–9	-0.03	15%	7 Feb →
alpine	13–1	0.07	7%	6 Feb →
inferno	12–12	-0.00	10%	2 Feb →
mirage	9–13	-0.05	14%	2 Feb →
ancient	5–13	-0.00	9%	1 Feb →
anubis	13–3	-0.02	12%	1 Feb →
ancient	13–5	0.04	15%	1 Feb →
nuke	8–13	-0.04	4%	1 Feb →
mirage	13–11	-0.05	21%	1 Feb →
anubis	11–13	0.04	9%	1 Feb →
dust2	12–12	-0.06	8%	31 Jan →
dust2	8–13	0.01	19%	31 Jan →
mirage	10–13	0.01	18%	31 Jan →
nuke	13–4	-0.00	6%	31 Jan →
mirage	12–12	-0.09	4%	31 Jan →
dust2	4–13	-0.05	19%	31 Jan →
nuke	7–13	-0.03	24%	31 Jan →
alpine	5–13	-0.06	15%	29 Jan →
dust2	11–13	0.02	19%	27 Jan →
nuke	13–10	-0.02	21%	27 Jan →
overpass	8–1	0.03	18%	27 Jan →
nuke	13–10	-0.07	33%	27 Jan →
warden	7–13	-0.04	18%	26 Jan →
stronghold	4–13	-0.03	15%	26 Jan →
dust2	13–6	-0.04	21%	26 Jan →
office	8–1	-0.02	40%	26 Jan →
anubis	8–13	-0.02	11%	25 Jan →
nuke	11–13	0.04	10%	25 Jan →
inferno	7–13	-0.05	7%	25 Jan →
mirage	13–5	-0.02	15%	25 Jan →
inferno	9–13	-0.04	12%	25 Jan →
overpass	3–13	-0.04	12%	25 Jan →
mirage	13–10	-0.07	10%	25 Jan →
mirage	13–6	0.01	43%	25 Jan →
dust2	12–12	-0.01	17%	25 Jan →
dust2	13–8	-0.01	18%	25 Jan →
dust2	8–13	-0.01	16%	24 Jan →
overpass	3–10	0.02	8%	24 Jan →
dust2	3–13	0.02	6%	24 Jan →
sanctum	8–8	-0.10	14%	24 Jan →
warden	10–13	0.10	9%	24 Jan →
alpine	13–3	-0.06	9%	24 Jan →
stronghold	13–6	0.06	15%	24 Jan →
mirage	2–13	0.03	26%	24 Jan →
anubis	13–0	-0.03	6%	19 Jan →
mirage	13–6	-0.00	17%	18 Jan →
nuke	13–0	0.08	8%	18 Jan →
inferno	14–16	-0.03	9%	18 Jan →
anubis	13–9	0.01	15%	18 Jan →
dust2	13–2	0.11	10%	18 Jan →
ancient	10–13	0.02	15%	18 Jan →
nuke	13–6	-0.01	3%	18 Jan →
anubis	10–13	-0.02	14%	18 Jan →
mirage	13–9	0.01	22%	17 Jan →
nuke	6–13	0.01	13%	17 Jan →
train	4–13	-0.09	6%	17 Jan →
ancient	3–13	-0.09	12%	17 Jan →
overpass	10–13	-0.06	21%	17 Jan →
overpass	13–10	-0.02	15%	17 Jan →
mirage	1–13	-0.02	24%	16 Jan →
ancient	13–6	0.03	15%	16 Jan →
overpass	7–13	-0.06	13%	16 Jan →
ancient	13–6	0.08	17%	15 Jan →