haryietya — CS2 Stats

PL76561199015816719[U:1:1055550991]Steam profile ↗✓ No bans

2,113Tracked matches39%Win rate2022Tracked since

1,548Hours in CS17Hrs last 2 wks

CSDB Rating3.5 LearningPositional Player

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim43

Positioning50

Utility13

0–100 skill scores via Leetify.

Recent form

STEADY42–49–9Last 10042%Win rateLWLWTLLWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.2pp headshot accuracy · +42ms reaction

Win rate 0pp 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

2–2–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 13%
Avg reaction 627ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 14%
Avg reaction 642ms

Last 20

8–10–2 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 13%
Avg reaction 621ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim4.3

Utility1.3

Positioning5.0

Opening Duels2.7

Limited utility dependence

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 donk 82% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim4.3

Positioning5.0

Utility1.3

Mechanics2.3

Opening Duels5.0

Win Impact1.4

Composite 3.5/10 (Learning), 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-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time618ms+17ms

first ⅓ avg 601ms → last ⅓ avg 618ms

Headshot accuracy12.2%−0.0%

first ⅓ avg 12.3% → last ⅓ avg 12.2%

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.

Personal bests

0.15Best match rating · 13–6 · office, 26 Sept →

29%Best headshot accuracy · 12–12 · office, 4 Oct →

438msFastest reaction time · 5–13 · office, 25 Sept →

13–0Biggest win · office, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

5–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 9 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
office	C	86	37–49	43%	-0.01
nuke	—	3	1–2	33%	-0.00
train	—	3	1–2	33%	-0.08
fachwerk	—	2	2–0	100%	0.00
inferno	—	2	0–2	0%	-0.06
overpass	—	1	1–0	100%	-0.09
cache	—	1	0–1	0%	-0.08
mirage	—	1	0–1	0%	-0.05
ancient	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

25,964Lifetime kills

0.65K/D

2,441Matches

39.7%Match win rate

41.4%Headshot %

3.6%Shot accuracy

3,146MVPs

851Hours (in match)

876Bombs planted

191Bombs defused

Most-used weapons

M4A4 / M4A1-S4,278

AK-473,650

MP73,172

Galil AR2,715

SG 5531,926

AUG1,767

P2000 / USP-S1,471

FAMAS1,467

Glock-181,352

UMP-45845

Lifetime map wins

7,904office

3,017nuke

2,773inferno

1,820dust2

442train

285vertigo

215lake

56italy

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.

12.6%Headshot accuracy

32.4%Accuracy (enemy spotted)

29.4%Spray accuracy

60.2%Counter-strafing

7.9°Preaim

595msReaction time

61.3%T opening success

38.9%CT opening success

0.09Enemies flashed / flash

0.0%Flash assists

11.29HE damage / grenade

0.51Flashes / 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 12.627% — 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 0.0903 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.885% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
office	6–13	-0.06	21%	28 Oct →
office	13–6	0.07	10%	27 Oct →
office	2–13	-0.03	9%	26 Oct →
office	13–5	0.06	14%	26 Oct →
office	12–12	-0.00	12%	26 Oct →
office	9–13	-0.01	14%	26 Oct →
office	7–13	-0.02	21%	26 Oct →
office	13–4	0.10	15%	25 Oct →
office	4–0	-0.02	0%	25 Oct →
office	6–13	0.01	21%	25 Oct →
office	3–13	0.01	11%	25 Oct →
office	2–1	0.04	0%	25 Oct →
office	13–9	0.02	13%	25 Oct →
office	11–13	0.00	13%	24 Oct →
office	6–13	0.01	9%	24 Oct →
office	11–13	-0.03	12%	23 Oct →
office	13–4	0.02	19%	22 Oct →
office	13–10	-0.02	14%	22 Oct →
office	12–12	-0.08	12%	22 Oct →
office	5–13	0.02	22%	22 Oct →
nuke	3–13	-0.03	11%	17 Oct →
office	9–13	-0.03	16%	17 Oct →
office	10–13	0.06	9%	17 Oct →
office	8–13	-0.05	2%	17 Oct →
fachwerk	13–11	0.05	10%	12 Oct →
office	13–5	-0.03	19%	12 Oct →
overpass	9–3	-0.09	14%	10 Oct →
office	8–13	-0.05	3%	8 Oct →
office	3–13	-0.06	8%	7 Oct →
office	9–7	0.01	5%	7 Oct →
office	6–13	-0.01	12%	7 Oct →
office	13–10	-0.07	10%	6 Oct →
office	13–7	-0.07	23%	6 Oct →
office	3–13	-0.08	16%	6 Oct →
office	12–12	0.01	17%	5 Oct →
office	13–6	-0.04	14%	5 Oct →
office	10–13	-0.03	7%	5 Oct →
train	4–13	-0.08	10%	4 Oct →
office	12–12	-0.00	29%	4 Oct →
office	4–13	-0.10	10%	4 Oct →
office	13–10	-0.03	6%	4 Oct →
office	4–13	-0.03	15%	4 Oct →
office	13–5	-0.05	9%	4 Oct →
office	12–12	-0.05	12%	4 Oct →
office	13–2	0.04	19%	4 Oct →
office	10–13	0.03	11%	4 Oct →
office	13–2	-0.01	12%	4 Oct →
office	9–13	-0.10	6%	4 Oct →
office	6–13	-0.04	13%	4 Oct →
office	4–13	-0.10	17%	3 Oct →
office	11–13	-0.03	13%	3 Oct →
office	13–4	0.04	12%	3 Oct →
office	13–10	0.00	9%	3 Oct →
office	12–12	-0.01	14%	3 Oct →
office	13–4	0.09	14%	3 Oct →
office	13–10	-0.00	12%	3 Oct →
train	13–8	-0.09	8%	1 Oct →
cache	12–12	-0.08	9%	1 Oct →
office	9–13	-0.09	6%	1 Oct →
office	13–11	-0.03	10%	26 Sept →
office	13–6	0.15	13%	26 Sept →
office	6–13	-0.01	11%	26 Sept →
office	13–10	-0.01	13%	26 Sept →
office	5–13	-0.06	14%	25 Sept →
office	13–2	0.04	8%	25 Sept →
office	4–1	-0.04	17%	23 Sept →
office	13–0	0.05	7%	23 Sept →
office	10–13	0.10	8%	23 Sept →
office	9–13	0.02	11%	21 Sept →
office	8–13	0.04	16%	21 Sept →
office	12–12	-0.01	11%	17 Sept →
office	11–13	0.06	11%	17 Sept →
office	1–13	-0.08	11%	17 Sept →
office	13–5	0.08	14%	17 Sept →
office	9–13	0.03	9%	15 Sept →
office	11–13	0.04	9%	15 Sept →
office	13–10	0.02	11%	14 Sept →
office	13–9	-0.02	9%	14 Sept →
office	3–13	-0.02	16%	14 Sept →
office	13–11	-0.03	12%	14 Sept →
office	13–7	-0.03	9%	14 Sept →
train	12–12	-0.07	15%	12 Sept →
mirage	9–13	-0.05	19%	12 Sept →
office	2–13	-0.03	18%	12 Sept →
inferno	8–13	-0.07	12%	11 Sept →
inferno	6–13	-0.05	18%	11 Sept →
nuke	16–13	-0.10	7%	11 Sept →
ancient	5–13	-0.08	11%	11 Sept →
office	13–5	-0.07	12%	11 Sept →
office	13–4	-0.01	9%	11 Sept →
office	13–5	0.03	9%	11 Sept →
fachwerk	13–1	-0.04	14%	10 Sept →
office	6–13	-0.03	11%	10 Sept →
office	8–13	-0.00	12%	10 Sept →
nuke	5–9	0.13	13%	10 Sept →
office	2–13	0.03	14%	10 Sept →
office	13–5	-0.00	15%	10 Sept →
office	4–13	-0.08	14%	8 Sept →
office	13–3	0.10	16%	8 Sept →
office	7–13	-0.10	10%	8 Sept →