$hoX — CS2 Stats

76561197987776307[U:1:27510579]Steam profile ↗✓ No bans

1,723Tracked matches30%Win rate2020Tracked since

CSDB Rating5.0 DevelopingSupport

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+77Tracked matches · now 1,723

−13.6ppWin rate · 44.0% → 30.4%

Rating over time

26Days played since 2026-09-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim46

Positioning50

Utility81

0–100 skill scores via Leetify.

Recent form

COLD34–48–18Last 10034%Win rateLLWLTTWLLT

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +3.6pp headshot accuracy · +48ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–3–1 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 13%
Avg reaction 739ms

Last 10

2–5–3 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 699ms

Last 20

6–10–4 · 30% win rate
Avg rating 0.02
Avg headshot accuracy 16%
Avg reaction 675ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.3 against its own average).

Aim4.6

Utility8.1

Positioning5.0

Opening Duels1.2

Strong CT-side openerEffective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like b1t 54% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher 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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

Reaction time. 664ms 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

Aim4.6

Positioning5.0

Utility8.1

Mechanics6.9

Opening Duels3.2

Win Impact0.0

Composite 5.0/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time668ms−23ms

first ⅓ avg 691ms → last ⅓ avg 668ms

Headshot accuracy16.6%−4.1%

first ⅓ avg 20.7% → last ⅓ avg 16.6%

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.

Personal bests

0.17Best match rating · 3–8 · dust2, 8 Oct →

42%Best headshot accuracy · 12–12 · dust2, 14 Sept →

422msFastest reaction time · 4–8 · dust2, 9 Oct →

13–1Biggest win · dust2, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 3 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	98	33–65	34%	0.01
anubis	—	1	1–0	100%	0.01
inferno	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Skill profile

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

16.6%Headshot accuracy

26.2%Accuracy (enemy spotted)

24.5%Spray accuracy

80.9%Counter-strafing

7.4°Preaim

664msReaction time

38.9%T opening success

46.6%CT opening success

0.83Enemies flashed / flash

9.4%Flash assists

16.33HE damage / grenade

11.73Flashes / 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 38.9063% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	0.09	13%	1 Nov →
dust2	10–13	-0.02	14%	1 Nov →
dust2	13–4	-0.02	15%	1 Nov →
dust2	4–13	-0.09	17%	1 Nov →
dust2	12–12	0.03	7%	30 Oct →
dust2	12–12	0.02	26%	30 Oct →
dust2	13–9	-0.02	19%	30 Oct →
dust2	10–13	0.05	16%	30 Oct →
dust2	10–13	0.04	24%	30 Oct →
dust2	12–12	-0.02	23%	30 Oct →
dust2	7–13	0.04	20%	30 Oct →
dust2	12–12	-0.00	13%	30 Oct →
dust2	13–10	-0.03	13%	27 Oct →
dust2	13–11	0.04	15%	27 Oct →
dust2	3–11	-0.01	10%	27 Oct →
dust2	13–4	0.15	14%	26 Oct →
dust2	8–13	0.08	16%	26 Oct →
anubis	16–14	0.01	9%	26 Oct →
dust2	8–13	0.02	13%	26 Oct →
dust2	11–13	0.04	16%	26 Oct →
dust2	12–12	-0.02	11%	25 Oct →
dust2	8–13	-0.04	11%	25 Oct →
dust2	8–13	0.04	25%	25 Oct →
dust2	12–12	-0.00	25%	19 Oct →
dust2	12–12	0.02	8%	19 Oct →
dust2	6–13	-0.02	20%	19 Oct →
dust2	5–13	-0.06	15%	19 Oct →
dust2	9–13	0.08	25%	13 Oct →
dust2	4–13	-0.04	19%	12 Oct →
dust2	13–4	0.02	25%	12 Oct →
dust2	9–13	0.03	14%	12 Oct →
dust2	13–11	-0.03	11%	12 Oct →
dust2	13–8	-0.02	24%	11 Oct →
dust2	11–13	-0.02	14%	11 Oct →
dust2	13–6	0.01	23%	11 Oct →
dust2	12–12	-0.03	18%	11 Oct →
dust2	13–1	0.03	13%	11 Oct →
dust2	12–12	0.04	13%	11 Oct →
dust2	13–3	0.11	14%	11 Oct →
dust2	13–9	0.06	22%	11 Oct →
dust2	13–4	0.09	19%	10 Oct →
dust2	13–11	-0.04	26%	10 Oct →
dust2	4–13	-0.05	19%	10 Oct →
dust2	7–13	0.01	22%	9 Oct →
dust2	10–13	0.01	23%	9 Oct →
dust2	12–12	0.01	13%	9 Oct →
dust2	13–6	-0.00	13%	9 Oct →
dust2	13–10	0.11	15%	9 Oct →
dust2	9–13	0.08	24%	9 Oct →
dust2	8–13	0.07	16%	9 Oct →
dust2	4–8	0.00	9%	9 Oct →
dust2	2–13	-0.04	24%	9 Oct →
dust2	13–7	0.10	24%	9 Oct →
dust2	11–13	0.03	22%	8 Oct →
dust2	3–8	0.17	23%	8 Oct →
dust2	8–13	0.05	20%	5 Oct →
dust2	9–13	0.02	26%	5 Oct →
inferno	6–13	0.04	12%	5 Oct →
dust2	8–13	-0.01	11%	5 Oct →
dust2	13–7	-0.03	15%	3 Oct →
dust2	13–5	-0.04	30%	3 Oct →
dust2	12–12	-0.06	12%	3 Oct →
dust2	12–12	0.02	23%	30 Sept →
dust2	9–13	0.12	25%	30 Sept →
dust2	13–7	0.02	12%	29 Sept →
dust2	10–13	0.00	13%	28 Sept →
dust2	6–13	0.01	21%	28 Sept →
dust2	13–10	-0.03	20%	27 Sept →
dust2	13–2	0.03	14%	27 Sept →
dust2	13–3	0.06	22%	27 Sept →
dust2	5–13	-0.07	26%	27 Sept →
dust2	5–13	0.05	17%	27 Sept →
dust2	12–12	0.06	20%	27 Sept →
dust2	13–6	-0.01	18%	27 Sept →
dust2	8–13	-0.04	4%	27 Sept →
dust2	13–6	0.03	11%	24 Sept →
dust2	7–13	-0.00	16%	24 Sept →
dust2	9–13	-0.05	13%	15 Sept →
dust2	13–11	-0.04	29%	15 Sept →
dust2	12–12	0.00	42%	14 Sept →
dust2	13–11	0.04	22%	14 Sept →
dust2	5–13	0.01	28%	14 Sept →
dust2	13–8	0.01	22%	14 Sept →
dust2	11–13	-0.01	22%	13 Sept →
dust2	12–12	-0.03	15%	13 Sept →
dust2	13–1	0.07	35%	13 Sept →
dust2	13–10	0.04	16%	13 Sept →
dust2	11–13	-0.07	6%	13 Sept →
dust2	4–13	-0.06	23%	13 Sept →
dust2	12–12	-0.03	14%	12 Sept →
dust2	12–12	-0.04	22%	12 Sept →
dust2	13–6	-0.00	37%	12 Sept →
dust2	10–13	0.01	16%	12 Sept →
dust2	13–9	0.01	13%	7 Sept →
dust2	11–13	0.04	21%	7 Sept →
dust2	13–8	0.08	25%	7 Sept →
dust2	9–13	-0.00	36%	7 Sept →
dust2	5–13	-0.06	19%	6 Sept →
dust2	8–13	0.02	14%	6 Sept →
dust2	12–12	0.02	27%	5 Sept →