Hector — CS2 Stats

SE76561197977996989[U:1:17731261]Steam profile ↗✓ No bans

987Tracked matches34%Win rate2020Tracked since

4,654Hours in CS6Hrs last 2 wks

CSDB Rating3.2 Learning

Premier CS Rating11,279Blue band · top ~48.1% of ranked players (population est.)

CSDB Leaderboard#15784 of 22015 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	39.4%	41.7%	44.1%	4.7% short
Shot accuracy	16.7%	8.8%	11.4%	above
Kill/death ratio	1.06	0.97	1.03	above
Match win rate	32.3%	43.8%	45.2%	12.9% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim33

Positioning36

Utility58

0–100 skill scores via Leetify.

Recent form

COLD37–56–7Last 10037%Win rateLLLLTLLWWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim3.3

Aggression3.0

Utility5.8

Positioning3.6

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: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 45% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 704ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.3

Positioning3.6

Utility5.8

Mechanics4.0

Opening Duels1.9

Win Impact0.0

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time704ms−10ms

first ⅓ avg 715ms → last ⅓ avg 704ms

Headshot accuracy18.1%+2.6%

first ⅓ avg 15.5% → last ⅓ avg 18.1%

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

0.09Best rating — nuke 13–1

13–1Biggest win — nuke

3Longest win streak

L4Current streak

9–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

overpassBest map · 83% over 6anubisWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	34	11–23	32%	-0.02
nuke	D	25	8–17	32%	-0.03
anubis	D	17	5–12	29%	-0.03
cache	C	9	4–5	44%	-0.01
overpass	S	6	5–1	83%	-0.02
ancient	C	5	2–3	40%	-0.05
dust2	—	4	2–2	50%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,538Lifetime kills

1.06K/D · Top 50% of Blue band

12,643Matches

32.3%Match win rate

39.4%Headshot %

16.7%Shot accuracy · Top 10% of Blue band

14,341MVPs

2,946Hours (in match)

8,558Bombs planted

1,305Bombs defused

Most-used weapons

AK-4743,542

M4A4 / M4A1-S29,671

AWP10,560

P2506,118

P2000 / USP-S5,584

Glock-185,034

MAC-103,265

Desert Eagle3,166

Galil AR2,815

P902,693

Lifetime map wins

12,325inferno

9,189nuke

7,278dust2

2,545train

641vertigo

313safehouse

269stmarc

250lake

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

Faceit stats

Combat

205Matches

51%Win rate

1.01Avg K/D

—ADR

39%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWL

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.

18.4%Headshot accuracy

31.2%Accuracy (enemy spotted)

35.7%Spray accuracy

67.8%Counter-strafing

13.0°Preaim

704msReaction time

12.4%T opening success

45.1%CT opening success

0.48Enemies flashed / flash

3.3%Flash assists

9.46HE damage / grenade

9.42Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.032° — above the 12° mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 703.6952ms — above the 700ms 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 0.4771 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	4–13	-0.12	5%	28 Aug →
anubis	11–13	-0.01	22%	28 Aug →
cache	13–16	0.06	22%	27 Aug →
anubis	7–13	-0.05	29%	23 Aug →
nuke	15–15	-0.02	12%	21 Aug →
nuke	10–13	-0.05	18%	21 Aug →
nuke	5–13	-0.10	13%	16 Aug →
inferno	13–10	-0.01	13%	16 Aug →
anubis	13–10	-0.01	9%	13 Aug →
ancient	10–13	-0.11	16%	13 Aug →
inferno	11–13	-0.03	17%	12 Aug →
nuke	10–13	-0.06	23%	12 Aug →
dust2	10–13	-0.01	23%	12 Aug →
cache	9–13	0.02	16%	9 Aug →
nuke	11–13	0.04	28%	9 Aug →
anubis	13–11	-0.11	15%	8 Aug →
inferno	13–11	-0.02	20%	8 Aug →
anubis	10–13	-0.05	26%	6 Aug →
inferno	4–13	-0.05	18%	6 Aug →
anubis	13–11	0.02	10%	6 Aug →
dust2	13–11	-0.01	22%	6 Aug →
ancient	13–2	-0.00	25%	6 Aug →
inferno	13–16	-0.03	25%	5 Aug →
nuke	12–16	-0.00	20%	4 Aug →
anubis	6–13	-0.06	25%	4 Aug →
cache	13–7	-0.03	28%	4 Aug →
inferno	6–13	-0.05	11%	2 Aug →
nuke	13–3	-0.05	17%	2 Aug →
inferno	10–13	-0.05	11%	27 Jul →
anubis	12–3	-0.01	11%	27 Jul →
nuke	13–5	0.00	9%	27 Jul →
inferno	11–13	-0.05	20%	26 Jul →
anubis	10–13	-0.05	21%	26 Jul →
inferno	13–11	0.06	11%	26 Jul →
anubis	10–13	0.01	22%	24 Jul →
cache	10–13	0.03	17%	24 Jul →
cache	4–13	0.01	10%	22 Jul →
inferno	11–13	-0.05	15%	22 Jul →
inferno	13–6	0.03	14%	21 Jul →
anubis	13–8	0.06	12%	21 Jul →
nuke	5–13	-0.04	21%	21 Jul →
cache	3–13	-0.05	16%	21 Jul →
nuke	13–5	-0.04	14%	20 Jul →
inferno	13–9	0.04	16%	20 Jul →
nuke	15–15	-0.05	15%	20 Jul →
dust2	13–10	-0.08	14%	20 Jul →
nuke	7–13	-0.00	14%	19 Jul →
inferno	10–13	-0.10	20%	19 Jul →
nuke	8–13	-0.02	13%	18 Jul →
inferno	11–13	-0.02	15%	18 Jul →
cache	13–8	-0.06	15%	18 Jul →
inferno	15–15	-0.00	10%	18 Jul →
inferno	1–13	-0.09	53%	17 Jul →
inferno	13–16	0.02	16%	17 Jul →
nuke	13–1	0.09	15%	17 Jul →
cache	16–14	-0.07	14%	17 Jul →
nuke	13–4	0.04	12%	17 Jul →
nuke	9–13	-0.02	11%	17 Jul →
overpass	9–13	-0.04	10%	5 Jul →
anubis	8–13	-0.05	19%	5 Jul →
inferno	5–13	-0.03	12%	24 Jun →
anubis	11–13	-0.01	12%	24 Jun →
inferno	7–13	-0.03	7%	24 Jun →
inferno	10–13	-0.01	18%	18 Jun →
inferno	13–3	0.03	11%	7 Jun →
anubis	7–13	-0.11	15%	7 Jun →
inferno	15–15	-0.02	10%	7 Jun →
ancient	7–13	-0.04	17%	5 Jun →
nuke	15–15	-0.05	13%	5 Jun →
inferno	13–10	-0.02	18%	5 Jun →
inferno	13–11	-0.02	12%	2 Jun →
overpass	13–6	0.05	21%	2 Jun →
anubis	8–13	0.04	23%	30 May →
inferno	11–13	-0.04	15%	30 May →
overpass	13–9	-0.01	9%	23 May →
nuke	5–13	-0.04	3%	20 May →
anubis	10–13	-0.01	17%	20 May →
inferno	6–13	-0.04	26%	20 May →
dust2	7–13	-0.05	5%	19 May →
nuke	13–9	-0.02	23%	19 May →
inferno	10–13	-0.05	15%	17 May →
cache	13–8	0.01	12%	17 May →
overpass	13–8	-0.04	13%	14 May →
inferno	13–6	0.06	37%	13 May →
nuke	15–15	-0.06	6%	13 May →
ancient	13–5	-0.04	16%	13 May →
nuke	9–13	-0.08	20%	13 May →
anubis	4–13	-0.02	28%	13 May →
inferno	8–13	-0.03	17%	13 May →
inferno	13–10	-0.05	12%	10 May →
nuke	13–7	-0.03	9%	8 May →
inferno	13–4	0.02	19%	8 May →
ancient	4–13	-0.04	10%	8 May →
inferno	15–15	-0.01	12%	8 May →
inferno	6–13	-0.10	5%	5 May →
overpass	13–3	-0.02	13%	5 May →
overpass	13–11	-0.06	11%	1 May →
nuke	1–13	-0.06	26%	1 May →
inferno	11–13	0.02	22%	1 May →
nuke	13–11	-0.03	8%	28 Apr →