Finn with 2 Braincell

Finn with 2 Braincell — CS2 Stats

GB76561198061770620[U:1:101504892]Steam profile ↗✓ No bans

1,216Tracked matches57%Win rate2020Tracked since
3,206Hours in CS
CSDB Rating5.5 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

14,501Peak Premier in tracked matches
65Days played since 2024-07-15

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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.

MetricThis playerLevel 10 median
Headshot rate55.0%50.9%
Shot accuracy19.0%13.7%
Kill/death ratio1.121.09
Match win rate50.0%48.4%

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CSDB.GGFinn with 2 BraincellFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning48
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY60–35–5Last 10060%Win rateWLWWLWWLWT

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +7.3pp headshot accuracy · +88ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 34%
  • Avg reaction 634ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 671ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 627ms

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 (+2.2 against its own average).

Aim7.4
Utility1.6
Positioning4.8
Opening Duels3.2
Clutch0.8

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

donk

Plays most like donk 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower 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

Areas to improve

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

Reaction time. 634ms 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

Aim7.4
Positioning4.8
Utility1.6
Mechanics7.3
Opening Duels2.4
Win Impact7.4

Composite 5.5/10 (Solid), 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 rating0.02−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time636ms−40ms
first ⅓ avg 676ms → last ⅓ avg 636ms
Headshot accuracy24.0%−8.2%
first ⅓ avg 32.2% → last ⅓ avg 24.0%

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

0.29Best match rating · 9–3 · overpass, 22 Oct →
60%Best headshot accuracy · 4–13 · nuke, 1 Aug →
469msFastest reaction time · 13–11 · train, 5 Jul →
13–0Biggest win · ancient, 24 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 83% over 6infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA169–756%0.04
mirageB158–753%0.03
overpassS1411–379%0.05
dust2B105–550%0.04
ancientS75–271%0.02
infernoD62–433%-0.03
trainS65–183%0.02
vertigo—33–0100%0.08
warden—31–233%0.04
anubis—31–233%0.01
mills—32–167%0.07
shelter—22–0100%-0.00
grail—21–150%0.02
jura—22–0100%-0.01
fachwerk—11–0100%-0.03
boulder—10–10%-0.01
rooftop—10–10%0.04
golden—10–10%0.10
palacio—10–10%-0.10
agency—10–10%-0.03
italy—11–0100%0.13
thera—11–0100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,468Lifetime kills
1.12K/D · Top 50% of Level 10 players
5,629Matches
50.0%Match win rate · Top 50% of Level 10 players
55.0%Headshot % · Top 50% of Level 10 players
19.0%Shot accuracy · Top 10% of Level 10 players
19,316MVPs
3,206Hours (in match)
6,613Bombs planted
2,044Bombs defused

Most-used weapons

AK-4769,020
AWP7,488
FAMAS1,934
Knife1,809
Tec-91,410

Lifetime map wins

9,164inferno
5,890nuke
5,625dust2
3,988vertigo
3,945train
1,279cbble
181lake
106office

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

Faceit stats

Combat

808Matches
57%Win rate
1.31Avg K/D
73.7ADR
52%Headshot %

Clutches & streaks

24%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4159%1.0415.6
Anubis2850%0.9113.1
Overpass1267%1.1514.4
Ancient1060%0.9714.3
Nuke967%1.1914.6
Vertigo956%1.0817.8
Inferno650%0.9212.5
Dust2633%1.1614.8

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.

24.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
35.2%Spray accuracy
83.0%Counter-strafing
9.7°Preaim
634msReaction time
33.1%T opening success
45.9%CT opening success
0.25Enemies flashed / flash
7.6%Flash assists
5.28HE damage / grenade
2.51Flashes / 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.

  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 0.2546 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 33.0874% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
shelter13–8-0.0223%1 Aug →
nuke4–13-0.0960%1 Aug →
fachwerk13–8-0.0337%1 Aug →
shelter13–70.0124%1 Aug →
boulder11–13-0.0125%25 Jul →
vertigo13–110.0622%11 May →
overpass13–10-0.0010%26 Apr →
overpass6–13-0.0421%18 Apr →
mirage13–90.0215%18 Apr →
warden12–120.1127%11 Mar →
inferno12–12-0.0516%22 Feb →
warden13–90.0030%4 Feb →
warden11–13-0.0018%31 Jan →
dust210–13-0.0415%28 Jan →
ancient13–50.0311%17 Jan →
mirage13–40.0421%11 Jan →
ancient3–13-0.105%11 Jan →
overpass13–20.1630%11 Jan →
mirage13–110.0326%10 Jan →
overpass6–130.0518%3 Jan →
mirage10–130.0721%2 Jan →
inferno9–130.0536%31 Dec →
dust211–130.0728%26 Dec →
overpass13–40.0427%24 Dec →
dust213–50.1332%23 Dec →
nuke13–40.0331%23 Dec →
mirage9–13-0.0134%21 Dec →
mirage4–13-0.0227%21 Dec →
inferno13–4-0.0116%20 Dec →
inferno13–4-0.0018%14 Dec →
ancient13–30.0734%7 Dec →
inferno5–9-0.1110%2 Dec →
overpass13–110.0921%24 Nov →
ancient13–00.0923%24 Nov →
mirage13–110.0231%15 Nov →
overpass13–10-0.0220%7 Nov →
mirage13–16-0.0127%25 Oct →
train13–90.0218%25 Oct →
mirage13–110.0216%25 Oct →
mirage11–130.0723%22 Oct →
overpass9–30.2946%22 Oct →
rooftop6–90.0437%22 Oct →
golden8–130.1016%9 Oct →
palacio4–13-0.1044%8 Oct →
nuke5–130.0347%31 Aug →
nuke10–130.0937%30 Aug →
nuke13–50.0435%29 Aug →
nuke13–60.0935%29 Aug →
nuke12–120.1037%29 Aug →
train13–3-0.0024%23 Aug →
overpass7–130.0323%23 Aug →
mirage13–90.0527%9 Aug →
ancient7–13-0.0416%26 Jul →
overpass13–6-0.0421%6 Jul →
mirage13–70.0735%5 Jul →
vertigo13–110.1141%5 Jul →
train13–110.0136%5 Jul →
dust213–20.0450%5 Jul →
ancient13–70.0632%5 Jul →
mirage13–00.1226%15 Jun →
agency9–13-0.0330%13 Jun →
grail4–130.0239%13 Jun →
jura13–9-0.0436%7 Jun →
train13–60.1026%27 May →
jura13–10.0328%8 May →
grail13–40.0226%7 May →
overpass13–30.1129%17 Apr →
italy10–60.1352%23 Mar →
overpass13–100.0438%23 Mar →
nuke13–11-0.0428%23 Mar →
dust26–13-0.0236%26 Feb →
nuke3–13-0.0138%18 Feb →
ancient13–90.0327%16 Feb →
anubis13–80.0636%16 Feb →
train10–13-0.0042%15 Feb →
train13–9-0.0139%14 Nov →
dust212–120.1133%1 Nov →
inferno6–13-0.0324%29 Oct →
overpass8–3-0.0911%29 Oct →
dust211–13-0.1421%10 Oct →
nuke13–90.0225%10 Oct →
vertigo9–20.0845%4 Oct →
anubis8–13-0.0218%5 Sept →
mirage4–13-0.0329%17 Aug →
nuke13–90.1253%17 Aug →
mirage4–130.0445%7 Aug →
thera13–110.1028%3 Aug →
mills12–12-0.0020%27 Jul →
mills13–50.1027%27 Jul →
nuke6–130.0631%26 Jul →
nuke13–90.0524%26 Jul →
mills13–70.1248%26 Jul →
nuke13–30.1629%24 Jul →
nuke8–20.0428%24 Jul →
dust213–20.1026%24 Jul →
anubis7–13-0.0028%24 Jul →
dust213–50.1240%23 Jul →
dust213–50.0435%23 Jul →
nuke5–13-0.0629%15 Jul →
overpass13–110.0827%15 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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