Finebert

Finebert — CS2 Stats

DE76561198979013681[U:1:1018747953]Steam profile ↗✓ No bans

274Tracked matches54%Win rate2026Tracked since
518Hours in CS15Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

+52Tracked matches · now 274
+44.9ppWin rate · 8.7% → 53.6%

Rating over time

32Days played since 2026-08-12

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches77——
Win rate47%——
K/D0.81——
Headshot %41%——

Measured 16 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim33
Positioning56
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY34–56–10Last 10034%Win rateWLTLWWWLWL

Last 10 vs previous 10: −20pp win rate · −0.08 avg rating · −9.9pp headshot accuracy · +85ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 639ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 687ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 644ms

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 against its own average).

Aim3.3
Utility1.8
Positioning5.6
Opening Duels3.3

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

s1mple

Plays most like s1mple 69% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 680ms 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

Aim3.3
Positioning5.6
Utility1.8
Mechanics5.0
Opening Duels5.4
Win Impact6.2

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-0.02+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time674ms+2ms
first ⅓ avg 671ms → last ⅓ avg 674ms
Headshot accuracy14.1%−0.2%
first ⅓ avg 14.3% → last ⅓ avg 14.1%

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.

Personal bests

0.09Best match rating · 9–0 · nuke, 9 Oct →
50%Best headshot accuracy · 8–4 · rush_001, 9 Oct →
391msFastest reaction time · 7–1 · inferno, 9 Oct →
13–0Biggest win · train, 7 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 67% over 12anubisWeakest map · 0% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D258–1732%-0.02
infernoD143–1121%-0.05
nukeS128–467%-0.01
ancientC104–640%-0.05
anubisD100–100%-0.05
cacheC83–538%-0.06
mirageC73–443%-0.03
rush_001A53–260%-0.07
overpass—30–30%-0.05
train—32–167%0.04
office—20–20%-0.05
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,297Lifetime kills
1.49K/D · Top 5% of tracked players
991Matches
53.6%Match win rate · Top 10% of tracked players
31.4%Headshot %
14.6%Shot accuracy · Top 50% of tracked players
2,984MVPs
270Hours (in match)
614Bombs planted
364Bombs defused

Most-used weapons

Lifetime map wins

1,000inferno
975dust2
819nuke
305vertigo
234lake
219train
184office
120cbble

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.

15.2%Headshot accuracy
28.6%Accuracy (enemy spotted)
33.3%Spray accuracy
72.5%Counter-strafing
11.8°Preaim
680msReaction time
61.7%T opening success
41.6%CT opening success
0.19Enemies flashed / flash
1.7%Flash assists
11.04HE damage / grenade
1.04Flashes / 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 0.1916 — 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.

0% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0321%16 Oct →
inferno6–13-0.0015%15 Oct →
inferno12–12-0.024%14 Oct →
mirage2–130.019%14 Oct →
dust213–7-0.0120%14 Oct →
dust213–10-0.0313%10 Oct →
rush_0016–20.060%9 Oct →
rush_0010–4-0.190%9 Oct →
rush_0018–6-0.070%9 Oct →
rush_0010–4-0.210%9 Oct →
rush_0018–40.0850%9 Oct →
nuke9–00.0911%9 Oct →
inferno7–10.040%9 Oct →
dust26–130.0021%9 Oct →
nuke13–100.0721%9 Oct →
mirage13–7-0.0113%9 Oct →
inferno3–13-0.0427%9 Oct →
overpass9–13-0.0715%7 Oct →
train13–90.0916%7 Oct →
train13–00.087%7 Oct →
train2–13-0.0318%7 Oct →
cache11–13-0.1117%7 Oct →
cache12–12-0.0112%7 Oct →
cache13–10-0.0113%7 Oct →
ancient9–13-0.158%6 Oct →
dust213–40.0613%6 Oct →
dust211–130.0310%5 Oct →
nuke13–110.0419%2 Oct →
dust28–13-0.0417%2 Oct →
inferno13–60.0226%2 Oct →
dust213–8-0.0619%2 Oct →
inferno8–13-0.135%2 Oct →
mirage13–9-0.0628%2 Oct →
nuke9–13-0.0318%1 Oct →
dust25–130.009%1 Oct →
nuke13–10-0.083%1 Oct →
inferno13–4-0.0423%1 Oct →
ancient5–13-0.0810%1 Oct →
inferno4–13-0.137%26 Sept →
nuke10–13-0.0811%26 Sept →
dust213–10-0.0424%26 Sept →
dust212–12-0.0721%26 Sept →
anubis6–130.0017%26 Sept →
cache13–70.0212%26 Sept →
ancient13–50.0211%24 Sept →
dust213–6-0.042%24 Sept →
vertigo7–13-0.096%24 Sept →
nuke13–4-0.0433%24 Sept →
ancient13–60.0410%24 Sept →
dust24–13-0.0022%23 Sept →
anubis10–13-0.0715%23 Sept →
anubis9–13-0.0922%22 Sept →
anubis1–5-0.040%22 Sept →
anubis5–13-0.075%18 Sept →
dust29–13-0.065%18 Sept →
ancient4–13-0.044%13 Sept →
dust28–13-0.0226%13 Sept →
anubis12–120.0213%13 Sept →
anubis10–13-0.0628%12 Sept →
dust210–130.019%11 Sept →
anubis12–12-0.068%11 Sept →
inferno12–12-0.0320%11 Sept →
ancient13–6-0.036%11 Sept →
cache2–13-0.0822%9 Sept →
mirage8–13-0.0918%9 Sept →
inferno12–12-0.0314%9 Sept →
mirage11–13-0.0617%6 Sept →
inferno12–12-0.0612%6 Sept →
ancient11–13-0.050%5 Sept →
nuke10–13-0.0516%5 Sept →
dust27–13-0.103%5 Sept →
overpass12–12-0.0610%5 Sept →
anubis1–13-0.0829%5 Sept →
cache9–13-0.1011%5 Sept →
dust212–12-0.055%5 Sept →
office10–13-0.0322%4 Sept →
office1–13-0.0733%4 Sept →
dust23–13-0.0424%3 Sept →
ancient9–13-0.1016%1 Sept →
dust213–10-0.0024%1 Sept →
inferno11–13-0.0514%30 Aug →
mirage13–80.087%30 Aug →
ancient8–13-0.0413%30 Aug →
dust25–130.0112%30 Aug →
cache7–13-0.1010%30 Aug →
overpass4–13-0.0224%28 Aug →
mirage3–13-0.089%28 Aug →
dust210–130.0815%23 Aug →
cache13–7-0.078%23 Aug →
nuke13–40.029%23 Aug →
dust27–13-0.1016%19 Aug →
anubis9–13-0.0817%19 Aug →
inferno4–13-0.1115%19 Aug →
nuke13–11-0.0214%15 Aug →
nuke3–13-0.0515%14 Aug →
inferno10–13-0.0610%14 Aug →
nuke13–11-0.0322%14 Aug →
dust216–14-0.0313%13 Aug →
dust210–130.0215%13 Aug →
dust28–13-0.067%12 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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