UnixSolstice — CS2 Stats

76561199111224503[U:1:1150958775]✓ No bans

260Tracked matches64%Win rate2025Tracked since

572Hours in CS10Hrs last 2 wks

CSDB Rating4.2 Developing

Ladder ranks via Leetify

Performance scores

Aim50

Positioning46

Utility23

0–100 skill scores via Leetify.

Recent form

STEADY54–36–10Last 10054%Win rateWWWLWLWWLT

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

Player DNA

Aim5.0

Aggression3.8

Utility2.3

Positioning4.6

Opening Duels0.0

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 74% 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

Reaction time. 582ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim5.0

Positioning4.6

Utility2.3

Mechanics2.8

Opening Duels0.5

Win Impact9.8

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time582ms−75ms

first ⅓ avg 657ms → last ⅓ avg 582ms

Headshot accuracy14.2%−0.1%

first ⅓ avg 14.3% → last ⅓ avg 14.2%

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

0.12Best rating — dust2 13–1

13–1Biggest win — dust2

6Longest win streak

W3Current streak

6–5In matches decided by ≤2 rounds

Map breakdown

trainBest map · 73% over 15cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	14–9	61%	-0.01
nuke	B	20	9–11	45%	-0.00
mirage	B	19	9–10	47%	-0.02
train	S	15	11–4	73%	-0.01
ancient	C	7	3–4	43%	-0.03
cache	D	6	2–4	33%	-0.04
vertigo	B	6	3–3	50%	-0.04
inferno	—	4	3–1	75%	-0.04

Across the last 100 tracked matches.

Lifetime stats

11,803Lifetime kills

0.61K/D

785Matches

27.6%Match win rate

44.3%Headshot %

0.0%Shot accuracy

668MVPs

208Hours (in match)

300Bombs planted

95Bombs defused

Most-used weapons

AK-472,968

M4A4 / M4A1-S2,957

Desert Eagle1,790

AWP1,750

P2000 / USP-S439

Five-SeveN321

MP9278

Glock-18226

Galil AR212

P250134

Lifetime map wins

1,626dust2

464nuke

302vertigo

280train

195inferno

36office

13italy

1ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.1%Headshot accuracy

32.8%Accuracy (enemy spotted)

40.5%Spray accuracy

62.4%Counter-strafing

10.1°Preaim

582msReaction time

34.3%T opening success

22.2%CT opening success

0.56Enemies flashed / flash

1.3%Flash assists

4.82HE damage / grenade

2.71Flashes / 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 14.1182% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7129 — below the 4 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 34.3072% — below the 40% mark we flag

Spend your practice time on Cache

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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	0.01	17%	28 Aug →
mirage	13–2	0.03	22%	28 Aug →
nuke	13–7	0.02	22%	28 Aug →
mirage	1–11	-0.12	9%	24 Aug →
nuke	13–7	0.00	8%	24 Aug →
inferno	11–13	-0.03	12%	24 Aug →
dust2	13–11	0.00	7%	23 Aug →
mirage	13–4	-0.01	8%	23 Aug →
ancient	9–13	-0.09	12%	23 Aug →
dust2	12–12	-0.04	11%	23 Aug →
dust2	13–11	0.06	26%	16 Aug →
mirage	13–4	-0.02	26%	21 Jul →
dust2	13–11	-0.05	13%	21 Jul →
dust2	13–4	-0.03	16%	21 Jul →
dust2	13–9	-0.10	11%	21 Jul →
cache	11–13	0.03	9%	21 Jul →
nuke	4–13	-0.04	15%	21 Jul →
dust2	13–9	-0.04	18%	21 Jul →
vertigo	10–13	-0.06	7%	21 Jul →
inferno	13–11	-0.06	6%	19 Jul →
ancient	13–4	0.03	22%	19 Jul →
nuke	3–13	-0.07	21%	19 Jul →
dust2	13–6	-0.05	18%	19 Jul →
vertigo	7–13	-0.08	9%	18 Jul →
mirage	12–12	-0.04	16%	18 Jul →
nuke	6–13	-0.02	15%	18 Jul →
nuke	5–13	0.02	19%	18 Jul →
nuke	6–1	0.05	19%	18 Jul →
vertigo	13–10	-0.09	15%	30 Jun →
inferno	13–8	-0.00	7%	30 Jun →
cache	6–13	-0.12	6%	30 Jun →
ancient	12–12	-0.00	20%	30 Jun →
nuke	7–13	0.02	10%	30 Jun →
ancient	12–12	-0.02	10%	30 Jun →
mirage	5–13	-0.09	11%	5 May →
cache	6–13	-0.06	4%	5 May →
cache	13–3	0.00	43%	5 May →
nuke	5–13	0.03	16%	5 May →
cache	8–13	-0.07	9%	29 Apr →
cache	13–8	-0.03	10%	28 Apr →
train	10–13	-0.02	11%	26 Apr →
dust2	12–12	-0.04	8%	26 Apr →
dust2	13–5	-0.00	24%	26 Apr →
train	13–2	0.06	14%	26 Apr →
train	13–9	-0.02	14%	26 Apr →
mirage	13–6	-0.02	9%	26 Apr →
ancient	13–7	-0.02	2%	26 Apr →
train	13–7	-0.03	15%	25 Apr →
mirage	5–13	-0.01	24%	25 Apr →
mirage	6–0	-0.05	0%	25 Apr →
mirage	9–13	0.00	10%	25 Apr →
vertigo	9–13	-0.07	12%	1 Apr →
dust2	11–13	0.02	13%	1 Apr →
dust2	10–0	-0.05	36%	31 Mar →
dust2	13–7	0.06	20%	31 Mar →
inferno	13–7	-0.07	19%	31 Mar →
nuke	13–7	0.03	20%	11 Mar →
mirage	13–10	0.01	15%	11 Mar →
nuke	13–7	0.03	28%	11 Mar →
mirage	12–12	-0.05	17%	11 Mar →
nuke	11–13	-0.03	13%	12 Feb →
train	13–10	-0.03	11%	12 Feb →
mirage	12–12	-0.01	23%	12 Feb →
vertigo	13–4	0.09	22%	11 Feb →
nuke	13–9	0.00	9%	11 Feb →
dust2	12–12	-0.03	12%	11 Feb →
dust2	3–13	-0.04	19%	11 Feb →
mirage	13–7	0.04	8%	18 Jan →
dust2	1–13	-0.06	18%	18 Jan →
train	13–8	0.02	13%	18 Jan →
mirage	8–13	0.01	21%	29 Dec →
dust2	5–13	-0.04	38%	10 Dec →
nuke	13–4	-0.04	33%	10 Dec →
nuke	12–12	0.01	15%	10 Dec →
nuke	13–5	0.03	10%	10 Dec →
dust2	13–11	0.00	12%	4 Nov →
train	9–13	0.04	10%	13 Oct →
nuke	13–7	0.04	25%	12 Oct →
dust2	6–13	-0.02	14%	12 Oct →
train	4–13	-0.08	9%	12 Oct →
mirage	7–13	0.01	7%	8 Oct →
train	13–9	-0.04	3%	7 Oct →
dust2	12–12	-0.01	14%	2 Oct →
ancient	4–10	-0.05	12%	1 Oct →
nuke	4–13	-0.07	11%	20 Sept →
mirage	11–13	-0.09	9%	20 Sept →
nuke	2–13	-0.08	14%	20 Sept →
train	13–6	-0.06	11%	16 Sept →
train	9–6	-0.04	8%	16 Sept →
ancient	13–7	-0.05	12%	15 Sept →
train	13–4	-0.02	24%	15 Sept →
nuke	8–13	0.02	11%	15 Sept →
train	13–7	0.04	14%	15 Sept →
train	4–13	0.05	9%	15 Sept →
train	13–4	0.04	5%	15 Sept →
dust2	13–2	0.03	14%	13 Sept →
mirage	6–2	0.01	21%	13 Sept →
vertigo	6–0	-0.03	14%	13 Sept →
dust2	13–1	0.12	28%	13 Sept →
mirage	8–2	-0.01	7%	13 Sept →