suckmegirl

suckmegirl — CS2 Stats

DK76561198250207018[U:1:289941290]Steam profile ↗✓ No bans

1,684Tracked matches27%Win rate2020Tracked since
CSDB Rating5.5 SolidHybrid Rifler
FaceitLevel 10 · 2,537 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGsuckmegirlFACEITLevel 10 · 2,537 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning50
Utility41

0–100 skill scores via Leetify.

Recent form

COLD39601Last 10039%Win rateLLLLLWLWLL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.1
Aggression5.0
Utility4.1
Positioning5.0
Opening Duels2.4
Clutch4.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 11.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Reaction time. 598ms 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

Aim8.1
Positioning5.0
Utility4.1
Mechanics7.1
Opening Duels2.4
Win Impact0.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time609ms+9ms
first ⅓ avg 600ms → last ⅓ avg 609ms
Headshot accuracy24.9%−1.8%
first ⅓ avg 26.7% → last ⅓ avg 24.9%

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.

Highlights

0.09Best rating — nuke 13–2
132Biggest win — nuke
3Longest win streak
L5Current streak
811In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 69% over 16ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoD2251723%-0.01
mirageB179853%-0.01
dust2S1611569%-0.01
anubisD103730%0.02
ancientD92722%-0.00
nukeD82625%0.00
overpassS64267%-0.01
train32167%-0.00
vertigo2020%-0.03
grail21150%0.06
cache1010%-0.04
poseidon1010%-0.05
rooftop1010%-0.14
dogtown1010%-0.04
palais1010%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,128Matches
52%Win rate
1.04Avg K/D
77.4ADR
56%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage32248%1.0516.0
Inferno18454%1.0315.6
Anubis15853%1.0816.4
Dust214453%1.0114.7
Ancient14145%1.0116.2
Vertigo9459%1.0716.4
Nuke8347%0.9714.7
Overpass7459%1.0816.8

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.

25.5%Headshot accuracy
37.0%Accuracy (enemy spotted)
42.2%Spray accuracy
81.8%Counter-strafing
11.3°Preaim
598msReaction time
32.0%T opening success
46.9%CT opening success
0.47Enemies flashed / flash
3.0%Flash assists
7.47HE damage / grenade
10.69Flashes / 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 0.4669 — 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 31.9913% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient14–160.0737%28 Aug
inferno9–13-0.0218%26 Aug
inferno13–160.0328%24 Aug
anubis6–130.0241%23 Aug
ancient9–130.0129%21 Aug
mirage13–90.0518%20 Aug
mirage7–130.0129%19 Aug
nuke13–20.0932%18 Aug
dust23–13-0.1330%18 Aug
anubis11–130.0016%18 Aug
vertigo8–13-0.0810%17 Aug
cache6–13-0.0436%17 Aug
mirage13–8-0.0321%14 Aug
vertigo14–160.0220%13 Aug
ancient1–13-0.120%12 Aug
anubis9–13-0.0728%9 Aug
inferno3–13-0.0432%9 Aug
nuke13–16-0.0133%7 Aug
ancient11–130.0025%6 Aug
ancient15–19-0.0219%4 Aug
dust213–10-0.0745%4 Aug
nuke4–13-0.0623%31 Jul
dust213–110.0934%27 Jul
inferno11–130.0121%27 Jul
dust216–13-0.0119%20 Jul
mirage13–100.0123%19 Jul
anubis13–100.0627%13 Jul
mirage3–13-0.079%3 Jul
dust210–130.0427%28 Jun
inferno9–13-0.0327%26 Jun
dust213–11-0.0213%26 Jun
inferno13–16-0.0524%25 Jun
dust213–30.0827%23 Jun
anubis9–130.0625%23 Jun
inferno6–130.0124%21 Jun
mirage16–120.0220%18 Jun
poseidon6–9-0.0526%17 Jun
ancient8–13-0.0430%11 Jun
overpass8–13-0.0122%8 Jun
mirage13–40.0432%7 Jun
inferno1–9-0.2525%7 Jun
dust213–8-0.0222%5 Jun
nuke8–80.0832%20 May
mirage16–140.0337%4 Apr
anubis16–120.0228%16 Jan
dust25–13-0.0515%10 Jan
inferno13–110.0120%9 Jan
dust211–130.0223%8 Jan
nuke6–13-0.0529%7 Jan
mirage10–130.0016%7 Jan
dust213–9-0.0329%4 Jan
dust213–8-0.0229%3 Jan
nuke5–13-0.0524%3 Jan
nuke13–90.0524%24 Dec
inferno10–130.0518%23 Dec
dust213–10-0.0514%17 Dec
inferno9–130.0133%16 Dec
mirage4–13-0.0720%2 Dec
overpass13–3-0.0040%2 Dec
inferno13–70.0137%1 Dec
dust213–20.0421%1 Dec
mirage9–13-0.0634%1 Dec
mirage8–13-0.0023%30 Nov
dust28–13-0.0546%30 Nov
dust219–170.0121%25 Nov
inferno11–13-0.0525%25 Nov
nuke3–13-0.0232%23 Nov
rooftop6–9-0.1422%7 Nov
overpass7–13-0.0418%27 Oct
inferno7–13-0.0134%26 Oct
overpass13–110.0116%11 Oct
inferno10–13-0.0141%11 Oct
inferno8–130.0723%9 Oct
overpass13–80.0231%16 Sept
train19–160.0220%4 Aug
ancient16–130.0621%31 Jul
inferno6–130.0732%31 Jul
ancient7–130.0029%21 Jul
overpass13–2-0.0233%18 Jul
train11–130.0122%29 Jun
anubis13–50.0518%26 Jun
inferno16–14-0.0520%25 Jun
train13–11-0.0432%22 Jun
mirage5–13-0.0546%22 Jun
mirage13–100.0025%22 Jun
mirage8–13-0.0341%21 Jun
inferno8–130.0224%21 Jun
inferno13–20.0639%20 Jun
inferno13–70.0120%19 Jun
dogtown7–9-0.0429%19 Jun
anubis11–13-0.0223%17 Jun
ancient13–60.0430%7 Jun
mirage13–100.0425%7 Jun
anubis8–13-0.0218%3 Jun
inferno7–13-0.0024%25 May
anubis10–130.0621%18 May
mirage13–9-0.0025%18 May
grail13–50.0824%9 May
grail11–130.0527%9 May
palais6–9-0.0028%30 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →