$hoX — CS2 Stats

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

1,668Tracked matches44%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 (18 days ago). Ranks are recorded once per day this page is viewed.

+22Tracked matches · now 1,668

0.0ppWin rate · 44.0% → 44.0%

Rating over time

31Days played since 2026-08-04

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

Performance scores

Aim42

Positioning49

Utility80

0–100 skill scores via Leetify.

Recent form

COLD40–43–17Last 10040%Win rateLLLLWWTTLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.8pp headshot accuracy · −4ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 17%
Avg reaction 622ms

Last 10

3–5–2 · 30% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 660ms

Last 20

7–10–3 · 35% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 662ms

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 (+3.6 against its own average).

Aim4.2

Utility8.0

Positioning4.9

Opening Duels0.3

Effective 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 53% 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. 0.79 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

Reaction time. 696ms 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

Aim4.2

Positioning4.9

Utility8.0

Mechanics7.1

Opening Duels2.3

Win Impact3.0

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+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time694ms+7ms

first ⅓ avg 686ms → last ⅓ avg 694ms

Headshot accuracy19.3%+2.0%

first ⅓ avg 17.3% → last ⅓ avg 19.3%

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.

Personal bests

0.12Best match rating · 9–13 · dust2, 30 Sept →

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

469msFastest reaction time · 12–12 · dust2, 31 Aug →

13–1Biggest win · dust2, 13 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L4Current streak

5–5In matches decided by ≤2 rounds

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	C	98	40–58	41%	0.00
inferno	—	1	0–1	0%	0.04
ancient	—	1	0–1	0%	-0.02

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.

19.4%Headshot accuracy

24.7%Accuracy (enemy spotted)

26.1%Spray accuracy

81.8%Counter-strafing

8.9°Preaim

696msReaction time

45.9%T opening success

32.5%CT opening success

0.79Enemies flashed / flash

8.0%Flash assists

16.23HE damage / grenade

12.17Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 32.4826% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
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 →
dust2	13–8	-0.04	32%	5 Sept →
dust2	13–9	0.06	27%	4 Sept →
dust2	9–13	-0.01	16%	4 Sept →
dust2	11–13	-0.03	15%	4 Sept →
dust2	4–13	0.00	20%	4 Sept →
dust2	1–13	-0.07	20%	4 Sept →
dust2	13–6	0.00	9%	2 Sept →
dust2	13–5	0.04	8%	2 Sept →
dust2	13–4	0.05	28%	1 Sept →
dust2	13–8	-0.00	15%	1 Sept →
dust2	10–13	0.01	20%	31 Aug →
dust2	13–7	0.06	20%	31 Aug →
dust2	7–13	-0.02	36%	31 Aug →
dust2	12–12	-0.05	18%	31 Aug →
dust2	2–2	0.02	10%	31 Aug →
dust2	13–5	-0.02	12%	30 Aug →
dust2	13–3	0.05	26%	30 Aug →
dust2	13–5	0.03	24%	24 Aug →
dust2	11–13	0.02	17%	24 Aug →
dust2	13–8	-0.00	33%	24 Aug →
dust2	6–13	0.02	19%	23 Aug →
dust2	4–13	0.06	7%	23 Aug →
dust2	8–13	-0.02	15%	23 Aug →
dust2	12–12	0.01	15%	22 Aug →
dust2	12–12	0.01	13%	22 Aug →
dust2	10–13	-0.00	25%	21 Aug →
dust2	9–13	-0.01	23%	21 Aug →
ancient	6–13	-0.02	37%	21 Aug →
dust2	5–13	-0.02	10%	20 Aug →
dust2	12–12	0.08	18%	18 Aug →
dust2	13–5	-0.00	31%	18 Aug →
dust2	9–13	-0.01	16%	17 Aug →
dust2	13–7	0.07	14%	17 Aug →
dust2	2–13	-0.04	16%	17 Aug →
dust2	13–8	0.06	14%	17 Aug →
dust2	6–13	-0.03	30%	16 Aug →
dust2	12–12	-0.03	12%	16 Aug →
dust2	9–13	0.08	12%	15 Aug →
dust2	13–7	0.05	19%	15 Aug →
dust2	9–13	-0.03	11%	15 Aug →
dust2	12–12	0.00	13%	10 Aug →
dust2	13–10	-0.06	10%	10 Aug →
dust2	13–9	-0.04	11%	10 Aug →
dust2	12–12	0.02	11%	7 Aug →
dust2	13–6	0.04	16%	7 Aug →
dust2	12–12	-0.03	20%	7 Aug →
dust2	7–13	-0.04	14%	7 Aug →
dust2	7–13	-0.03	31%	7 Aug →
dust2	13–9	-0.02	15%	7 Aug →
dust2	13–11	-0.03	15%	7 Aug →
dust2	13–11	0.05	18%	7 Aug →
dust2	13–1	0.04	15%	4 Aug →
dust2	6–13	0.00	22%	4 Aug →
dust2	13–4	0.04	10%	4 Aug →
dust2	12–12	-0.01	21%	4 Aug →