Finrigh

Finrigh — CS2 Stats

US76561198057354667[U:1:97088939]Steam profile ↗✓ No bans

744Tracked matches42%Win rate2023Tracked since
1,208Hours in CS53Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

Performance scores

Aim58
Positioning50
Utility9

0–100 skill scores via Leetify.

Recent form

COLD48–40–12Last 10048%Win rateWLWLLTWTTL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · −52ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 530ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 532ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 558ms

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 (+2.1 against its own average).

Aim5.8
Utility0.9
Positioning5.0
Opening Duels2.7

Strong CT-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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim5.8
Positioning5.0
Utility0.9
Mechanics5.8
Opening Duels3.0
Win Impact2.4

Composite 4.3/10 (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 rating-0.01−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time567ms+9ms
first ⅓ avg 559ms → last ⅓ avg 567ms
Headshot accuracy12.3%−3.1%
first ⅓ avg 15.4% → last ⅓ avg 12.3%

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

0.25Best match rating · 8–4 · rush_001, 3 Oct →
33%Best headshot accuracy · 3–7 · rush_001, 28 Oct →
414msFastest reaction time · 4–13 · ancient, 2 Nov →
13–2Biggest win · train, 18 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–9In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 64% over 14mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
rush_001B178–947%0.03
ancientB157–847%-0.00
trainA148–657%0.01
nukeA149–564%0.01
vertigoD103–730%-0.01
anubisB63–350%-0.01
mirageD51–420%-0.01
infernoC52–340%-0.03
cache—42–250%0.02
dust2—43–175%0.03
overpass—31–233%0.01
office—31–233%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,342Lifetime kills
0.93K/D
2,309Matches
45.5%Match win rate · Top 50% of tracked players
40.1%Headshot %
0.2%Shot accuracy
3,550MVPs
601Hours (in match)
1,457Bombs planted
265Bombs defused

Most-used weapons

Lifetime map wins

2,721nuke
1,332vertigo
1,272train
1,237inferno
993dust2
342office
25italy
2ar_baggage

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.

12.5%Headshot accuracy
35.2%Accuracy (enemy spotted)
38.1%Spray accuracy
76.1%Counter-strafing
11.9°Preaim
556msReaction time
33.1%T opening success
51.0%CT opening success
0.04Enemies flashed / flash
0.0%Flash assists
6.55HE damage / grenade
0.33Flashes / 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. 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 12.4551% — below the 15% mark we flag

    Aim Training →
  2. 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 0.0394 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.087% — below the 40% mark we flag

Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0418%2 Nov →
mirage11–130.0114%2 Nov →
inferno13–100.018%2 Nov →
ancient4–13-0.060%2 Nov →
rush_0012–6-0.120%2 Nov →
overpass12–12-0.0413%1 Nov →
ancient13–90.0517%1 Nov →
vertigo12–12-0.0418%1 Nov →
train12–120.0914%31 Oct →
nuke1–13-0.093%31 Oct →
ancient6–130.0618%31 Oct →
nuke13–10-0.0312%31 Oct →
office6–13-0.0920%31 Oct →
office4–4-0.068%31 Oct →
nuke13–110.028%31 Oct →
rush_0015–10.0110%31 Oct →
overpass10–13-0.0215%30 Oct →
train7–13-0.0315%30 Oct →
train4–60.0914%30 Oct →
ancient13–3-0.054%30 Oct →
nuke3–130.0313%29 Oct →
ancient8–130.0817%29 Oct →
rush_0013–7-0.1733%28 Oct →
inferno13–80.0111%27 Oct →
anubis13–110.0211%27 Oct →
nuke9–30.0110%27 Oct →
inferno4–9-0.158%27 Oct →
nuke9–10.1319%27 Oct →
ancient10–13-0.0410%26 Oct →
vertigo13–10-0.037%26 Oct →
mirage8–13-0.0312%26 Oct →
nuke12–12-0.0113%25 Oct →
train10–13-0.0313%25 Oct →
cache2–13-0.0711%25 Oct →
nuke13–10-0.0114%24 Oct →
train13–6-0.0715%24 Oct →
nuke13–10-0.0113%24 Oct →
dust25–13-0.0118%23 Oct →
inferno12–120.0210%23 Oct →
office13–11-0.0327%23 Oct →
anubis10–13-0.048%23 Oct →
ancient12–120.038%23 Oct →
mirage6–13-0.0814%21 Oct →
ancient13–110.078%21 Oct →
cache5–130.0117%21 Oct →
cache13–40.0812%21 Oct →
dust213–90.0420%21 Oct →
ancient13–11-0.0318%20 Oct →
rush_0017–30.1611%19 Oct →
rush_0015–80.1017%19 Oct →
train12–12-0.0214%18 Oct →
vertigo11–130.0121%18 Oct →
train13–2-0.0713%18 Oct →
nuke13–40.0811%18 Oct →
train13–70.0415%17 Oct →
overpass13–60.1012%17 Oct →
anubis11–130.0513%17 Oct →
ancient12–12-0.0110%17 Oct →
train7–130.0110%16 Oct →
ancient6–13-0.0616%16 Oct →
rush_0017–8-0.0020%16 Oct →
vertigo12–12-0.0610%16 Oct →
train13–4-0.019%16 Oct →
mirage6–13-0.0413%16 Oct →
vertigo6–9-0.038%15 Oct →
inferno3–9-0.0510%15 Oct →
vertigo9–50.058%14 Oct →
anubis13–8-0.0218%13 Oct →
nuke13–90.0520%12 Oct →
train13–100.0221%12 Oct →
ancient12–12-0.0611%12 Oct →
dust213–11-0.0322%12 Oct →
nuke12–12-0.0217%11 Oct →
rush_0015–8-0.097%11 Oct →
dust213–20.1318%10 Oct →
train13–90.0113%10 Oct →
anubis8–6-0.0210%10 Oct →
train13–100.0226%10 Oct →
rush_0018–50.2123%8 Oct →
train13–110.0413%7 Oct →
vertigo7–130.0414%6 Oct →
ancient13–50.0114%6 Oct →
nuke9–13-0.0215%6 Oct →
nuke13–70.0310%3 Oct →
mirage13–30.108%3 Oct →
cache13–50.087%3 Oct →
rush_0014–0-0.0118%3 Oct →
rush_0018–40.2516%3 Oct →
rush_0011–5-0.1325%3 Oct →
vertigo2–13-0.0717%3 Oct →
rush_0016–80.0130%2 Oct →
rush_0016–8-0.1014%2 Oct →
rush_0018–60.157%2 Oct →
rush_0018–60.160%1 Oct →
anubis11–13-0.0711%1 Oct →
rush_0014–8-0.0313%30 Sept →
rush_0018–40.1822%30 Sept →
vertigo12–120.0010%28 Sept →
vertigo13–5-0.0022%27 Sept →
ancient13–2-0.0417%27 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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