Harley — CS2 Stats

76561197965906259[U:1:5640531]Steam profile ↗✓ No bans

1,316Tracked matches69%Win rate2020Tracked since

CSDB Rating8.1 StrongPositional Player

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,316

0.0ppWin rate · 69.0% → 69.0%

Rating over time

40Days played since 2025-07-30

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

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Performance scores

Aim93

Positioning73

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateWLLLWLWWWW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · +2.5pp headshot accuracy · +45ms 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

2–3 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 38%
Avg reaction 700ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 34%
Avg reaction 595ms

Last 20

14–5–1 · 70% win rate
Avg rating 0.05
Avg headshot accuracy 32%
Avg reaction 572ms

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 (+1 against its own average).

Aim9.3

Utility7.1

Positioning7.3

Opening Duels6.3

Clutch4.4

Sharp aimer

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 jL 92% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 570ms 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

Aim9.3

Positioning7.3

Utility7.1

Mechanics7.9

Opening Duels6.2

Win Impact10.0

Composite 8.1/10 (Strong), 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 rating0.04−0.00

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time577ms−28ms

first ⅓ avg 605ms → last ⅓ avg 577ms

Headshot accuracy30.3%−1.4%

first ⅓ avg 31.7% → last ⅓ avg 30.3%

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

0.19Best match rating · 13–8 · inferno, 22 Jul →

69%Best headshot accuracy · 13–3 · dust2, 29 Jun →

406msFastest reaction time · 13–9 · cache, 5 Aug →

13–1Biggest win · anubis, 23 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	19	10–9	53%	0.05
dust2	B	17	8–9	47%	0.02
inferno	B	17	9–8	53%	0.03
mirage	A	12	7–5	58%	0.01
nuke	S	10	7–3	70%	0.01
ancient	D	7	2–5	29%	0.04
anubis	S	6	5–1	83%	0.05
overpass	S	6	4–2	67%	0.03
train	—	4	2–2	50%	0.09
vertigo	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,598Matches

55%Win rate

1.33Avg K/D

82.3ADR

46%Headshot %

Clutches & streaks

42%1v1 clutch win

16%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	67%	1.04	15.2
Inferno	17	82%	1.26	15.1
Cache	11	64%	1.60	19.6
Nuke	9	56%	1.03	14.0
Ancient	9	56%	1.22	17.6
Dust2	7	57%	1.21	18.3
Anubis	4	25%	1.00	14.3
Vertigo	1	0%	1.07	15.0

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.

30.4%Headshot accuracy

38.7%Accuracy (enemy spotted)

42.2%Spray accuracy

85.4%Counter-strafing

8.2°Preaim

570msReaction time

53.5%T opening success

56.0%CT opening success

0.54Enemies flashed / flash

7.1%Flash assists

13.56HE damage / grenade

10.61Flashes / match

Recommended for you

Spend your practice time on Ancient

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–9	0.06	33%	25 Sept →
mirage	3–13	-0.02	41%	25 Sept →
dust2	11–13	-0.03	29%	7 Sept →
ancient	6–13	0.05	57%	2 Sept →
cache	13–4	0.11	29%	2 Sept →
inferno	5–13	-0.01	32%	20 Aug →
mirage	13–9	-0.02	40%	19 Aug →
ancient	16–14	-0.00	30%	19 Aug →
mirage	13–11	0.11	26%	19 Aug →
nuke	13–8	0.00	22%	18 Aug →
anubis	13–10	0.13	35%	12 Aug →
cache	8–13	0.08	34%	12 Aug →
dust2	13–10	0.04	45%	11 Aug →
cache	12–12	0.06	31%	8 Aug →
cache	13–9	0.05	33%	5 Aug →
cache	13–7	0.05	13%	2 Aug →
train	13–7	0.16	47%	29 Jul →
cache	13–6	0.12	32%	28 Jul →
cache	13–7	0.00	24%	28 Jul →
nuke	13–8	0.01	18%	28 Jul →
ancient	1–13	-0.11	24%	28 Jul →
inferno	13–7	0.04	17%	28 Jul →
cache	13–4	0.05	24%	28 Jul →
mirage	13–10	0.00	24%	28 Jul →
dust2	10–13	0.00	16%	27 Jul →
mirage	13–7	0.00	31%	27 Jul →
inferno	11–13	0.01	17%	27 Jul →
nuke	7–13	-0.04	50%	24 Jul →
anubis	13–9	0.04	38%	24 Jul →
anubis	13–1	0.04	25%	23 Jul →
inferno	13–4	0.11	30%	23 Jul →
ancient	3–3	0.14	19%	23 Jul →
inferno	13–8	0.19	37%	22 Jul →
dust2	6–13	-0.07	15%	22 Jul →
cache	13–8	0.02	16%	22 Jul →
ancient	13–9	0.17	27%	22 Jul →
nuke	13–1	0.01	23%	22 Jul →
anubis	5–13	-0.00	32%	21 Jul →
mirage	11–6	0.04	47%	21 Jul →
nuke	3–13	0.05	36%	21 Jul →
mirage	11–13	0.01	29%	21 Jul →
cache	10–13	0.04	31%	21 Jul →
train	7–13	0.01	41%	21 Jul →
nuke	3–13	-0.08	33%	19 Jul →
dust2	13–6	0.03	27%	19 Jul →
nuke	13–6	-0.04	20%	19 Jul →
inferno	3–13	-0.08	48%	19 Jul →
cache	12–12	0.05	33%	18 Jul →
vertigo	13–7	0.00	24%	18 Jul →
cache	13–2	0.07	34%	18 Jul →
mirage	3–13	-0.03	25%	18 Jul →
dust2	13–11	0.08	22%	18 Jul →
cache	8–13	-0.00	20%	16 Jul →
inferno	16–12	0.00	11%	16 Jul →
dust2	3–13	-0.02	18%	15 Jul →
inferno	13–6	0.07	28%	15 Jul →
cache	12–12	0.01	36%	15 Jul →
cache	6–13	-0.05	24%	15 Jul →
cache	13–4	0.11	60%	14 Jul →
dust2	10–13	0.01	35%	13 Jul →
inferno	10–13	0.03	39%	13 Jul →
dust2	7–13	-0.04	35%	11 Jul →
nuke	13–8	0.01	29%	11 Jul →
mirage	13–5	0.02	24%	11 Jul →
cache	3–5	0.02	27%	11 Jul →
inferno	6–13	-0.07	20%	11 Jul →
overpass	13–9	-0.00	21%	11 Jul →
anubis	13–9	0.03	47%	11 Jul →
dust2	13–11	0.13	36%	10 Jul →
ancient	11–13	0.02	33%	4 Jul →
inferno	13–4	0.10	52%	4 Jul →
cache	8–2	0.06	33%	4 Jul →
anubis	13–2	0.05	35%	2 Jul →
dust2	12–12	-0.04	31%	2 Jul →
train	13–6	0.12	28%	1 Jul →
nuke	13–9	0.12	26%	30 Jun →
vertigo	13–9	0.11	37%	30 Jun →
dust2	10–13	0.02	43%	30 Jun →
overpass	10–13	0.04	34%	29 Jun →
inferno	13–11	0.13	27%	29 Jun →
dust2	13–3	0.15	69%	29 Jun →
inferno	0–7	-0.08	25%	29 Jun →
cache	4–13	0.04	33%	29 Jun →
mirage	8–13	-0.01	27%	29 Jun →
inferno	11–13	-0.03	16%	24 Jun →
dust2	13–11	-0.01	44%	24 Jun →
mirage	13–11	0.02	36%	24 Jun →
inferno	11–13	0.10	24%	9 Jun →
dust2	14–16	0.08	23%	9 Jun →
inferno	13–11	0.00	39%	3 May →
nuke	13–6	0.10	38%	3 May →
inferno	13–1	0.07	19%	2 May →
overpass	13–10	0.08	25%	21 Sept →
dust2	13–11	0.03	30%	21 Sept →
train	5–13	0.07	28%	17 Aug →
ancient	8–13	-0.02	22%	4 Aug →
overpass	7–13	-0.09	14%	31 Jul →
overpass	13–6	0.04	20%	31 Jul →
mirage	7–13	0.03	31%	30 Jul →
overpass	13–2	0.10	23%	30 Jul →