FINSKY GAMING

FINSKY GAMING — CS2 Stats

76561199026840782[U:1:1066575054]Steam profile ↗✓ No bans

2,936Tracked matches48%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
Premier CS Rating11,593Blue band · top ~46.5% of ranked players (population est.)
FaceitLevel 5 · 1,153 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,593 -1,547 1 Sept – 4 Nov · 39 days played
10,00013,140peak 13,1401 Sept4 Nov
13,140Peak Premier in tracked matches
1,176Highest Faceit ELO seen on CSDB
38Days played since 2026-08-23

Faceit ELO

  • 23 below peak (1,176)
  • Next: Level 6 at 1,201 — 48 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

Premier CS Rating

  • 1,547 below peak (13,140)
  • -70 over 30 days · steady
  • Next: Purple band at 15,000 — 3,407 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGFINSKY GAMINGFACEITLevel 5 · 1,153 ELOSTANDINGTop 67.6% of rankedPREMIER11,593 · Blue bandPEAK ELO1,176csdb.gg/stats

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Performance scores

Aim39
Positioning63
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLLLTWLLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +4.1pp headshot accuracy · +84ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 622ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 624ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 582ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim3.9
Utility6.4
Positioning6.3
Opening Duels3.5
Clutch3.4

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

m0NESY

Plays most like m0NESY 56% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning6.3
Utility6.4
Mechanics2.5
Opening Duels4.4
Win Impact4.4

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time564ms−25ms
first ⅓ avg 589ms → last ⅓ avg 564ms
Headshot accuracy11.9%+0.4%
first ⅓ avg 11.5% → last ⅓ avg 11.9%

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

0.15Best match rating · 13–2 · nuke, 19 Oct →
24%Best headshot accuracy · 13–8 · ancient, 19 Oct →
391msFastest reaction time · 6–13 · nuke, 23 Oct →
13–0Biggest win · inferno, 27 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 63% over 19dust2Weakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientA2113–862%0.02
nukeA1912–763%-0.01
anubisC156–940%0.00
dust2D155–1033%-0.02
infernoB137–654%0.01
mirageC125–742%-0.04
cacheA53–260%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

230Matches
52%Win rate
0.96Avg K/D
70.9ADR
34%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient4949%0.9213.3
Inferno4457%1.1015.8
Nuke3956%1.0314.3
Dust23043%0.8411.8
Anubis2846%0.9412.9
Overpass1580%1.1512.6
Train1233%0.8815.3
Mirage650%0.7611.7

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.

12.4%Headshot accuracy
33.6%Accuracy (enemy spotted)
39.0%Spray accuracy
61.2%Counter-strafing
12.9°Preaim
575msReaction time
46.8%T opening success
48.7%CT opening success
0.69Enemies flashed / flash
5.2%Flash assists
9.74HE damage / grenade
7.02Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8975° — above the 12° mark we flag

    Aim Training →
  2. 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 12.3561% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–130.0313%4 Nov →
mirage6–13-0.0518%3 Nov →
inferno14–16-0.0519%2 Nov →
mirage3–13-0.0717%2 Nov →
mirage15–15-0.0418%1 Nov →
nuke13–10-0.0311%1 Nov →
ancient11–13-0.0116%31 Oct →
nuke0–13-0.126%31 Oct →
nuke13–1-0.018%31 Oct →
inferno13–90.0715%31 Oct →
mirage13–110.0113%29 Oct →
nuke13–40.027%28 Oct →
anubis13–10.0614%28 Oct →
dust211–13-0.0511%28 Oct →
nuke13–11-0.0222%28 Oct →
cache10–130.019%28 Oct →
nuke8–13-0.053%27 Oct →
inferno13–00.047%27 Oct →
ancient5–13-0.069%27 Oct →
ancient13–8-0.015%27 Oct →
ancient7–13-0.0218%26 Oct →
nuke4–13-0.094%26 Oct →
dust213–2-0.0221%25 Oct →
anubis13–160.0610%25 Oct →
ancient13–10-0.0118%25 Oct →
nuke8–13-0.085%25 Oct →
ancient6–13-0.019%25 Oct →
dust213–60.0111%25 Oct →
nuke6–130.0211%23 Oct →
ancient10–10.0313%23 Oct →
mirage13–80.0212%23 Oct →
mirage3–13-0.0811%22 Oct →
nuke13–8-0.0010%22 Oct →
ancient7–13-0.047%21 Oct →
cache13–6-0.0410%20 Oct →
mirage9–13-0.0510%19 Oct →
nuke13–20.1512%19 Oct →
ancient13–8-0.0324%19 Oct →
mirage13–7-0.0610%19 Oct →
dust29–130.002%18 Oct →
dust213–10-0.0118%18 Oct →
nuke9–10.098%17 Oct →
inferno13–100.0211%13 Oct →
anubis13–5-0.0020%12 Oct →
anubis12–16-0.046%12 Oct →
nuke13–30.0915%12 Oct →
ancient13–110.027%11 Oct →
dust28–13-0.0516%11 Oct →
inferno7–13-0.045%11 Oct →
anubis10–13-0.0419%10 Oct →
dust25–130.046%10 Oct →
nuke13–16-0.0710%10 Oct →
anubis4–13-0.0311%9 Oct →
ancient16–130.0314%9 Oct →
ancient4–13-0.0419%8 Oct →
inferno13–40.0622%8 Oct →
inferno16–140.0412%8 Oct →
ancient13–7-0.0010%7 Oct →
dust211–13-0.0513%7 Oct →
inferno13–100.0312%7 Oct →
ancient13–10.1123%7 Oct →
ancient13–3-0.007%7 Oct →
ancient13–30.1310%6 Oct →
nuke13–4-0.0118%6 Oct →
cache14–16-0.009%6 Oct →
dust28–13-0.029%5 Oct →
dust213–8-0.0514%5 Oct →
ancient13–20.0311%5 Oct →
anubis13–40.083%5 Oct →
inferno13–30.0313%4 Oct →
nuke13–7-0.0311%4 Oct →
nuke13–90.0316%3 Oct →
anubis3–13-0.048%3 Oct →
inferno8–130.017%3 Oct →
inferno10–13-0.036%2 Oct →
dust211–130.047%2 Oct →
ancient14–160.0317%1 Oct →
cache13–4-0.0212%1 Oct →
ancient13–100.1013%1 Oct →
mirage13–9-0.0417%1 Oct →
anubis7–13-0.0014%30 Sept →
nuke13–10-0.018%29 Sept →
mirage9–13-0.0513%29 Sept →
nuke8–13-0.0312%29 Sept →
dust215–150.0214%29 Sept →
ancient13–30.038%29 Sept →
mirage13–20.007%28 Sept →
anubis13–50.0115%28 Sept →
cache13–20.043%27 Sept →
anubis13–7-0.065%27 Sept →
dust213–50.0218%27 Sept →
inferno8–13-0.0618%27 Sept →
anubis9–130.0516%26 Sept →
dust21–13-0.0819%26 Sept →
dust24–13-0.0211%26 Sept →
anubis10–130.0514%26 Sept →
mirage6–13-0.087%24 Sept →
ancient15–150.038%23 Sept →
anubis7–13-0.0616%23 Sept →
inferno11–13-0.0214%21 Sept →

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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