FB18Midget

FB18Midget — CS2 Stats

DE76561198274393757[U:1:314128029]Steam profile ↗✓ No bans

1,203Tracked matches60%Win rate2020Tracked since
2,833Hours in CS6Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
FaceitLevel 7 · 1,360 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify
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. 47 days played since 20 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,824 -3,185 20 Apr4 Jul · 17 days played
16,10021,019peak 21,01920 Apr4 Jul
21,137Peak Premier in tracked matches
1,360Highest Faceit ELO seen on CSDB
47Days played since 2026-04-20

Faceit ELO

  • At peak — 1,360
  • Next: Level 8 at 1,531 171 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=11,912), 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 rate34.1%45.8%46.8%12.7% short
Shot accuracy15.7%12.7%13.0%above
Kill/death ratio0.981.051.060.08 short
Match win rate74.7%45.7%46.3%above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGFB18MidgetFACEITLevel 7 · 1,360 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,360csdb.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

Aim52
Positioning51
Utility50

0–100 skill scores via Leetify.

Recent form

HOT44533Last 10044%Win rateWWLWWLLWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +2.9pp headshot accuracy · −40ms reaction

Win rate up 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

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 481ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 492ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 512ms

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).

Aim5.2
Utility5.0
Positioning5.1
Opening Duels1.2
Clutch3.8

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

NiKo

Plays most like NiKo 73% 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 →

CSDB Rating breakdown

Aim5.2
Positioning5.1
Utility5.0
Mechanics4.8
Opening Duels1.0
Win Impact8.3

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time510ms−122ms
first ⅓ avg 632ms → last ⅓ avg 510ms
Headshot accuracy12.3%−3.0%
first ⅓ avg 15.3% → 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

0.10Best match rating · 13–2 · dust2, 30 Aug
28%Best headshot accuracy · 13–3 · inferno, 28 Apr
406msFastest reaction time · 13–5 · nuke, 2 Sept
13–1Biggest win · dust2, 27 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
97In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 56% over 9dust2Weakest map · 39% over 38
MapGradePlayedRecordWin rateAvg rating
dust2C38152339%-0.01
anubisC23101343%-0.01
ancientB21101148%-0.00
infernoA95456%-0.02
mirage31233%-0.04
vertigo21150%-0.04
cache21150%-0.05
nuke110100%0.00
overpass1010%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 38). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,153Lifetime kills
0.98K/D
8,552Matches
74.7%Match win rate · Top 1% of Level 7 players
34.1%Headshot %
15.7%Shot accuracy · Top 25% of Level 7 players
7,777MVPs
1,672Hours (in match)
3,949Bombs planted
725Bombs defused

Most-used weapons

AK-4715,491
AWP3,832
P902,897
Tec-92,387
MP92,170

Lifetime map wins

10,971dust2
4,374inferno
3,325vertigo
1,482nuke
1,443train
1,059cbble
375office
129italy

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

Faceit stats

Combat

595Matches
52%Win rate
0.90Avg K/D
79.0ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient6862%1.0015.4
Dust26650%1.0915.7
Inferno4042%0.8113.3
Anubis3050%0.9915.7
Vertigo2752%0.8914.8
Mirage1625%0.8514.4
Nuke1050%0.9814.6
Train850%0.9714.8

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.

12.4%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.9%Spray accuracy
71.8%Counter-strafing
12.0°Preaim
512msReaction time
31.7%T opening success
36.2%CT opening success
0.44Enemies flashed / flash
8.5%Flash assists
9.52HE damage / grenade
7.83Flashes / 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 12.4279% — 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 0.4434 — 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 31.7318% — below the 40% mark we flag

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.

39% win rate across 38 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–7-0.0218%15 Sept
anubis13–80.0116%3 Sept
anubis11–130.0112%3 Sept
ancient13–80.0311%3 Sept
nuke13–50.009%2 Sept
inferno9–13-0.069%2 Sept
ancient5–13-0.0423%2 Sept
ancient13–40.029%1 Sept
dust213–30.0314%1 Sept
inferno13–80.047%1 Sept
ancient13–9-0.0510%1 Sept
dust25–13-0.049%1 Sept
anubis11–13-0.0414%31 Aug
vertigo5–13-0.0611%31 Aug
dust216–19-0.098%31 Aug
inferno13–11-0.0210%31 Aug
dust213–20.108%30 Aug
ancient5–130.005%30 Aug
cache16–14-0.056%29 Aug
dust216–140.0717%29 Aug
ancient13–90.0711%28 Aug
anubis13–90.0319%27 Aug
ancient9–13-0.0615%27 Aug
ancient13–90.0718%27 Aug
dust216–13-0.0513%26 Aug
dust27–13-0.0416%26 Aug
anubis10–130.0210%25 Aug
anubis10–13-0.0719%25 Aug
dust213–11-0.0014%24 Aug
dust213–11-0.0011%24 Aug
anubis13–16-0.0412%24 Aug
anubis17–190.017%23 Aug
anubis16–14-0.0113%23 Aug
dust213–30.018%23 Aug
anubis10–130.068%23 Aug
anubis8–13-0.1019%22 Aug
anubis13–110.0114%21 Aug
cache9–13-0.0414%21 Aug
ancient11–130.0013%20 Aug
ancient13–6-0.056%20 Aug
ancient16–130.0114%7 Aug
ancient13–90.0915%4 Aug
dust23–13-0.0514%2 Aug
dust29–13-0.0223%2 Aug
anubis11–13-0.0519%2 Aug
anubis13–8-0.0113%2 Aug
ancient13–3-0.0420%29 Jul
inferno1–9-0.1618%28 Jul
dust213–80.0125%27 Jul
dust213–10.0920%27 Jul
anubis10–13-0.0012%24 Jul
dust29–130.0125%23 Jul
anubis13–40.0517%20 Jul
dust213–8-0.014%20 Jul
anubis5–130.0413%20 Jul
dust22–13-0.0515%14 Jul
dust213–70.0613%14 Jul
anubis13–9-0.057%12 Jul
inferno13–6-0.0323%12 Jul
dust214–16-0.0316%9 Jul
anubis13–7-0.0213%9 Jul
dust213–10-0.0323%4 Jul
anubis13–7-0.0317%2 Jul
ancient2–130.0316%1 Jul
ancient10–130.0413%1 Jul
dust26–13-0.0828%28 Jun
dust213–7-0.0513%28 Jun
mirage11–130.0225%21 Jun
dust24–130.0020%21 Jun
ancient3–13-0.0513%21 Jun
inferno19–170.0715%20 Jun
dust26–13-0.0220%19 Jun
inferno4–130.0119%14 Jun
dust216–140.0024%7 Jun
anubis15–150.0115%7 Jun
ancient13–80.0710%7 Jun
overpass8–130.0312%26 May
dust21–13-0.0619%26 May
dust212–16-0.058%26 May
mirage1–13-0.1022%8 May
ancient4–13-0.0218%8 May
dust27–13-0.0219%7 May
dust24–13-0.0510%7 May
ancient3–13-0.087%4 May
dust25–13-0.1120%4 May
dust26–13-0.0319%3 May
dust29–13-0.0316%28 Apr
dust212–120.0919%28 Apr
ancient0–13-0.0510%28 Apr
inferno13–30.0328%28 Apr
anubis9–13-0.0015%27 Apr
dust210–13-0.0019%27 Apr
dust29–130.0616%22 Apr
anubis13–100.048%22 Apr
dust215–150.0711%22 Apr
ancient8–13-0.057%21 Apr
mirage13–9-0.059%21 Apr
inferno8–13-0.090%21 Apr
dust213–50.0315%21 Apr
dust28–130.0516%20 Apr

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 →