HANDSOME-HARRIE

HANDSOME-HARRIE — CS2 Stats

IM76561198016304207[U:1:56038479]Steam profile ↗✓ No bans

2,350Tracked matches32%Win rate2022Tracked since
CSDB Rating3.6 LearningPositional Player
FaceitLevel 3 · 773 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 5,779 -3,551 18 Jun – 4 Jul · 13 days played
5,7799,330peak 9,33018 Jun4 Jul
9,534Peak Premier in tracked matches
773Highest Faceit ELO seen on CSDB
22Days played since 2026-06-18

Faceit ELO

  • At peak — 773
  • Next: Level 4 at 901 — 128 to go
  • Reached: Level 3 · Level 2

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGHANDSOME-HARRIEFACEITLevel 3 · 773 ELOSTANDINGTop 90.6% of rankedPEAK ELO773csdb.gg/stats

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Performance scores

Aim46
Positioning49
Utility30

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLLLWLWLWLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −4.0pp headshot accuracy · −6ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 702ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 684ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 687ms

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 (+0.9 against its own average).

Aim4.6
Utility3.0
Positioning4.9
Opening Duels4.0
Clutch4.0

Strong T-side openerLimited 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

s1mple

Plays most like s1mple 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

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

Aim4.6
Positioning4.9
Utility3.0
Mechanics5.5
Opening Duels3.2
Win Impact0.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time689ms−38ms
first ⅓ avg 727ms → last ⅓ avg 689ms
Headshot accuracy17.9%−4.4%
first ⅓ avg 22.3% → last ⅓ avg 17.9%

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

0.14Best match rating · 13–2 · nuke, 18 Jun →
41%Best headshot accuracy · 11–13 · inferno, 19 Jun →
484msFastest reaction time · 4–13 · train, 28 Jun →
13–0Biggest win · mirage, 30 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 60% over 10cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A169–756%-0.01
infernoC156–940%-0.01
ancientB126–650%0.03
mirageD113–827%-0.01
nukeA106–460%0.01
cacheD92–722%-0.00
trainD92–722%-0.02
overpassD72–529%0.01
anubisD62–433%-0.02
vertigo—31–233%-0.03
office—20–20%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

585Matches
49%Win rate
0.90Avg K/D
70.2ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust212341%0.7812.8
Ancient11647%0.9415.0
Inferno10860%0.9513.5
Mirage8842%0.9013.9
Nuke5754%0.8813.3
Overpass3972%0.9214.1
Anubis3228%0.8814.4
Train1759%1.1015.5

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.

18.0%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.4%Spray accuracy
74.9%Counter-strafing
10.8°Preaim
696msReaction time
48.1%T opening success
37.4%CT opening success
0.37Enemies flashed / flash
1.9%Flash assists
8.10HE damage / grenade
3.45Flashes / 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.

  1. 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 0.3708 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.4081% — below the 40% mark we flag

Spend your practice time on Cache

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0417%24 Jul →
mirage9–13-0.0415%24 Jul →
dust27–13-0.0314%23 Jul →
cache13–50.0624%19 Jul →
vertigo0–13-0.0512%19 Jul →
anubis13–11-0.018%14 Jul →
cache6–130.0433%13 Jul →
inferno13–2-0.047%11 Jul →
office4–13-0.105%11 Jul →
cache13–160.0222%9 Jul →
office7–130.0319%8 Jul →
vertigo13–30.0417%8 Jul →
train5–13-0.0518%7 Jul →
inferno13–70.1110%4 Jul →
train11–13-0.0220%4 Jul →
overpass11–130.0114%4 Jul →
cache9–13-0.0441%4 Jul →
inferno14–160.0216%2 Jul →
cache13–30.0629%2 Jul →
cache2–13-0.0614%2 Jul →
dust26–13-0.0413%30 Jun →
mirage13–00.0322%30 Jun →
dust29–130.0113%30 Jun →
dust213–1-0.0110%30 Jun →
nuke15–15-0.0513%30 Jun →
cache9–13-0.0640%29 Jun →
mirage1–13-0.0622%29 Jun →
dust213–10-0.0419%29 Jun →
cache11–130.0419%29 Jun →
inferno15–15-0.0210%29 Jun →
ancient7–13-0.0822%29 Jun →
ancient11–130.0819%29 Jun →
inferno13–4-0.0313%28 Jun →
cache7–13-0.0610%28 Jun →
dust213–90.0213%28 Jun →
ancient13–11-0.049%28 Jun →
inferno2–9-0.1720%28 Jun →
dust213–20.037%28 Jun →
train4–13-0.0511%28 Jun →
dust213–10-0.0515%28 Jun →
nuke13–6-0.0522%28 Jun →
mirage1–13-0.1010%28 Jun →
nuke15–150.0622%28 Jun →
ancient10–130.0614%28 Jun →
nuke10–13-0.009%27 Jun →
anubis13–9-0.0114%27 Jun →
nuke13–80.1110%27 Jun →
mirage12–120.0115%27 Jun →
train7–13-0.0324%27 Jun →
train7–13-0.0622%27 Jun →
overpass7–13-0.0413%27 Jun →
overpass3–9-0.0211%27 Jun →
nuke13–7-0.058%27 Jun →
vertigo8–13-0.0722%26 Jun →
overpass11–13-0.0015%26 Jun →
dust24–13-0.0434%26 Jun →
anubis14–160.0131%26 Jun →
ancient13–1-0.0311%26 Jun →
ancient6–130.0018%26 Jun →
ancient13–40.0828%26 Jun →
mirage14–160.0012%26 Jun →
inferno13–70.0434%26 Jun →
inferno15–150.0226%25 Jun →
inferno9–13-0.0524%25 Jun →
ancient13–80.0116%25 Jun →
ancient13–110.0811%25 Jun →
ancient9–130.0819%25 Jun →
overpass13–20.0624%25 Jun →
dust24–13-0.0723%25 Jun →
mirage7–13-0.0524%25 Jun →
anubis10–13-0.0524%25 Jun →
nuke7–13-0.1010%25 Jun →
overpass13–40.0030%24 Jun →
inferno10–13-0.0227%24 Jun →
mirage20–220.0019%24 Jun →
train13–20.0922%24 Jun →
dust213–110.1330%24 Jun →
inferno13–30.0426%24 Jun →
inferno13–80.0613%24 Jun →
dust28–130.1019%24 Jun →
dust28–13-0.0317%22 Jun →
mirage13–110.1211%22 Jun →
dust26–1-0.060%22 Jun →
anubis2–13-0.0512%22 Jun →
anubis6–13-0.0326%22 Jun →
inferno14–160.0223%20 Jun →
ancient7–130.0522%19 Jun →
ancient13–100.0228%19 Jun →
mirage13–100.0625%19 Jun →
inferno11–13-0.0541%19 Jun →
dust213–1-0.0216%19 Jun →
dust213–10-0.0227%18 Jun →
nuke13–20.1434%18 Jun →
nuke13–90.0829%18 Jun →
overpass10–130.0629%18 Jun →
nuke13–11-0.0428%18 Jun →
mirage8–13-0.0221%18 Jun →
train13–00.0021%18 Jun →
train9–13-0.0617%18 Jun →
train10–130.0119%18 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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