Wittle Fingy

Wittle Fingy — CS2 Stats

VN76561198865324318[U:1:905058590]Steam profile ↗✓ No bans

2,290Tracked matches63%Win rate2022Tracked since
2,525Hours in CS13Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating15,451Purple band · top ~26.6% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 21 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,451 -1,212 2 Sept16 Sept · 4 days played
15,45116,663peak 16,6632 Sept16 Sept
16,663Peak Premier in tracked matches
41Days played since 2026-06-21

Premier CS Rating

  • 1,212 below peak (16,663)
  • Next: Pink band at 20,000 4,549 to go
  • Reached: Purple band · Blue band · Light Blue band

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 7 among CSDB-tracked players (n=12,302), 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 7 medianLevel 8 medianvs Level 8
Headshot rate38.0%45.7%46.8%8.8% short
Shot accuracy6.9%12.7%13.0%6.0% short
Kill/death ratio0.961.051.060.10 short
Match win rate50.3%45.7%46.3%above

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWittle FingyFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER15,451 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75
Positioning67
Utility57

0–100 skill scores via Leetify.

Recent form

COLD53461Last 10053%Win rateLLLWLWLLLW

Last 10 vs previous 10: −50pp win rate · −0.00 avg rating · +2.8pp headshot accuracy · +46ms reaction

Win rate down 50pp 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

  • 14 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 633ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 637ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 614ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim7.5
Utility5.7
Positioning6.7
Opening Duels4.4
Clutch4.8

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

jL

Plays most like jL 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 605ms 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

Aim7.5
Positioning6.7
Utility5.7
Mechanics6.3
Opening Duels3.6
Win Impact9.4

Composite 6.7/10 (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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time609ms−55ms
first ⅓ avg 664ms → last ⅓ avg 609ms
Headshot accuracy17.7%−2.2%
first ⅓ avg 19.8% → last ⅓ avg 17.7%

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

0.37Best match rating · 9–2 · inferno, 6 Jul
38%Best headshot accuracy · 2–13 · inferno, 2 Aug
453msFastest reaction time · 6–9 · inferno, 29 Aug
13–0Biggest win · cache, 23 Aug

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
107In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 72% over 18mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B24111346%0.02
infernoB2091145%0.05
cacheS1813572%0.05
mirageC145936%0.02
nukeA85363%0.05
ancientC83538%0.03
vertigo330100%0.06
anubis220100%0.08
train220100%0.06
overpass1010%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,442Lifetime kills
0.96K/D
2,063Matches
50.3%Match win rate · Top 25% of Level 7 players
38.0%Headshot %
6.9%Shot accuracy
4,683MVPs
1,090Hours (in match)
2,023Bombs planted
528Bombs defused

Most-used weapons

Lifetime map wins

3,825inferno
3,065dust2
2,605vertigo
2,457nuke
325train
22office
6cbble

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

Faceit stats

Combat

428Matches
51%Win rate
1.12Avg K/D
91.5ADR
35%Headshot %

Clutches & streaks

44%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6558%1.2016.1
Inferno3832%1.2416.5
Dust23253%1.2818.2
Vertigo2854%1.1915.4
Anubis2654%1.1814.7
Ancient2348%1.1617.3
Overpass1625%0.9313.8
Nuke1464%1.0314.9

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.

17.1%Headshot accuracy
39.4%Accuracy (enemy spotted)
41.1%Spray accuracy
78.3%Counter-strafing
9.8°Preaim
605msReaction time
39.3%T opening success
49.2%CT opening success
0.51Enemies flashed / flash
5.2%Flash assists
6.65HE damage / grenade
16.32Flashes / 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

    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 39.3105% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust21–4-0.0733%16 Sept
dust28–130.0421%7 Sept
nuke5–130.0215%6 Sept
nuke16–140.0819%2 Sept
dust28–130.0623%2 Sept
nuke16–14-0.0219%2 Sept
dust210–130.0115%2 Sept
nuke8–130.0221%1 Sept
mirage7–130.0514%1 Sept
cache13–20.0515%1 Sept
cache7–6-0.0110%1 Sept
ancient13–70.0416%31 Aug
inferno13–70.1015%30 Aug
cache16–140.0627%30 Aug
dust213–70.039%30 Aug
dust213–30.0417%30 Aug
cache13–90.0717%30 Aug
anubis13–90.0419%29 Aug
inferno6–9-0.1118%29 Aug
dust210–130.0017%28 Aug
inferno9–13-0.0514%28 Aug
cache8–13-0.0511%27 Aug
vertigo13–110.0212%27 Aug
inferno13–60.1221%27 Aug
mirage13–9-0.0217%27 Aug
dust213–80.0514%27 Aug
vertigo13–40.0625%26 Aug
dust213–80.0522%25 Aug
dust213–80.0213%25 Aug
mirage8–130.0113%25 Aug
mirage13–40.0610%24 Aug
inferno10–130.1518%24 Aug
vertigo13–80.0931%24 Aug
dust26–10.1333%24 Aug
nuke13–50.1614%23 Aug
cache13–00.1026%23 Aug
cache13–70.0710%23 Aug
ancient15–150.0215%22 Aug
dust24–13-0.0218%16 Aug
mirage9–130.0217%16 Aug
inferno13–50.1013%12 Aug
ancient13–20.0910%12 Aug
mirage13–90.1620%12 Aug
dust213–60.0014%12 Aug
train13–20.0510%12 Aug
train13–70.0820%11 Aug
dust211–13-0.0031%11 Aug
mirage9–130.0018%7 Aug
ancient13–110.1422%7 Aug
cache10–13-0.0210%7 Aug
inferno14–16-0.0311%3 Aug
inferno11–130.0923%2 Aug
nuke13–90.0925%2 Aug
dust28–13-0.0014%2 Aug
ancient9–130.0017%2 Aug
inferno2–13-0.0338%2 Aug
ancient11–13-0.0611%1 Aug
mirage2–130.0132%1 Aug
mirage8–13-0.0210%1 Aug
nuke13–60.0328%31 Jul
dust25–13-0.0120%31 Jul
inferno8–13-0.0319%31 Jul
mirage13–9-0.0021%30 Jul
inferno13–10-0.0114%30 Jul
dust28–13-0.0313%29 Jul
dust24–13-0.0917%27 Jul
cache13–50.0925%26 Jul
mirage12–160.0428%25 Jul
mirage10–13-0.0422%25 Jul
inferno13–110.0217%25 Jul
mirage4–130.0135%25 Jul
nuke8–130.0024%24 Jul
cache8–130.0515%24 Jul
cache13–60.1124%24 Jul
dust25–13-0.0519%21 Jul
cache7–13-0.0013%15 Jul
anubis12–00.1215%15 Jul
cache11–130.0510%13 Jul
cache13–4-0.0020%9 Jul
cache13–30.1320%9 Jul
inferno13–80.0818%7 Jul
dust216–140.0629%7 Jul
dust216–120.0212%7 Jul
cache13–60.0715%6 Jul
inferno9–20.3721%6 Jul
inferno11–13-0.0115%6 Jul
cache13–70.0414%6 Jul
overpass8–130.0415%6 Jul
inferno13–80.1120%5 Jul
dust211–130.0925%4 Jul
inferno9–130.0318%4 Jul
ancient10–130.0126%4 Jul
dust213–50.0225%4 Jul
inferno10–13-0.0124%3 Jul
inferno9–70.0727%28 Jun
inferno7–13-0.0016%22 Jun
dust213–90.0520%22 Jun
cache28–260.0618%21 Jun
mirage13–70.0111%21 Jun
ancient10–13-0.0420%21 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 →