ForQpine — CS2 Stats

76561198050483491[U:1:90217763]

1,293Tracked matches47%Win rate2020Tracked since
CSDB Rating5.0 Developing
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim49
Positioning60
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51472Last 10051%Win rateWLLWWLLLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim4.9
Aggression8.4
Utility6.1
Positioning6.0
Opening Duels3.4
Clutch4.6

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim4.9
Positioning6.0
Utility6.1
Mechanics4.7
Opening Duels3.4
Win Impact3.9

Composite 5.0/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time570ms−23ms
first ⅓ avg 594ms → last ⅓ avg 570ms
Headshot accuracy13.9%−0.3%
first ⅓ avg 14.2% → last ⅓ avg 13.9%

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

0.10Best rating — dust2 16–14
130Biggest win — dust2
10Longest win streak
1110In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 68% over 19ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%0.01
nukeS1913668%-0.00
overpassB157847%0.00
ancientD1441029%-0.02
cacheD62433%-0.00
infernoS64267%-0.00
trainC52340%0.01
mirageA53260%-0.02
office330100%0.02
anubis21150%-0.01
alpine1010%-0.02
golden110100%-0.02
palacio1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

819Matches
51%Win rate
1.11Avg K/D
88.0ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient13354%1.2017.3
Dust212354%1.1817.7
Nuke9146%1.1116.4
Inferno6248%1.1317.7
Overpass2854%1.4718.8
Vertigo2650%1.2819.5
Anubis2241%1.0718.4
Train2157%0.9717.4

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.

14.3%Headshot accuracy
32.4%Accuracy (enemy spotted)
34.0%Spray accuracy
71.0%Counter-strafing
11.4°Preaim
572msReaction time
35.0%T opening success
52.2%CT opening success
0.67Enemies flashed / flash
6.6%Flash assists
8.83HE damage / grenade
8.67Flashes / 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 14.3361% — below the 15% mark we flag

    Aim Training
  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 35.0367% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0216%25 Aug
anubis12–16-0.0419%24 Aug
cache10–13-0.0411%24 Aug
nuke13–9-0.0214%12 Aug
dust213–50.1015%12 Aug
ancient10–13-0.0210%10 Aug
cache8–130.0522%13 Jul
inferno3–13-0.1113%26 May
nuke13–20.035%26 May
ancient2–13-0.0712%13 May
dust211–13-0.0612%13 May
cache13–40.0813%9 May
cache5–13-0.0115%9 May
cache5–13-0.0914%30 Apr
dust24–13-0.0620%28 Apr
office13–11-0.0015%27 Apr
train13–8-0.0223%27 Apr
dust211–13-0.0422%27 Apr
overpass10–13-0.0714%8 Apr
alpine11–13-0.0213%8 Apr
office13–60.037%8 Apr
overpass3–13-0.0224%8 Apr
overpass13–100.0416%2 Apr
anubis13–110.034%2 Apr
overpass13–11-0.028%26 Mar
mirage16–14-0.0213%26 Mar
nuke16–130.0116%25 Mar
ancient11–13-0.0312%25 Mar
dust213–70.0218%25 Mar
overpass5–13-0.0217%23 Mar
nuke4–13-0.053%23 Mar
dust216–140.1011%23 Mar
inferno13–11-0.0213%21 Mar
mirage7–13-0.034%13 Mar
inferno7–130.0512%13 Mar
nuke2–13-0.0310%13 Mar
overpass5–130.0410%11 Mar
nuke13–110.0118%11 Mar
dust210–130.0222%7 Mar
nuke12–160.0120%7 Mar
ancient6–13-0.0311%5 Mar
overpass16–13-0.048%5 Mar
dust213–30.028%5 Mar
ancient6–13-0.079%3 Mar
dust26–13-0.0116%3 Mar
ancient4–13-0.0713%23 Feb
ancient13–90.0522%21 Feb
nuke7–13-0.0119%19 Feb
dust26–130.0313%19 Feb
dust213–10-0.028%10 Feb
dust213–8-0.0212%9 Feb
ancient13–80.0610%9 Feb
mirage13–8-0.034%26 Jan
ancient16–14-0.019%22 Jan
office13–70.0312%21 Jan
dust213–70.0418%21 Jan
overpass15–15-0.0114%13 Jan
ancient13–70.048%13 Jan
nuke13–7-0.045%13 Jan
ancient15–15-0.0517%13 Jan
inferno13–10-0.018%11 Jan
dust23–13-0.0811%11 Jan
ancient11–13-0.0612%11 Jan
dust213–00.0313%2 Jan
dust211–130.099%30 Dec
train7–13-0.008%21 Dec
overpass16–19-0.028%9 Dec
nuke13–40.048%6 Dec
nuke13–40.0119%12 Nov
overpass16–120.0011%10 Nov
nuke13–8-0.0216%10 Nov
overpass13–30.0915%9 Nov
train13–90.0419%9 Nov
nuke13–10-0.0115%5 Nov
inferno13–90.0819%5 Nov
overpass13–5-0.0013%5 Nov
inferno13–80.0014%27 Oct
overpass7–13-0.0111%21 Oct
overpass16–140.029%13 Oct
mirage13–8-0.0216%13 Oct
nuke13–80.0310%6 Oct
golden13–11-0.0215%6 Oct
palacio9–13-0.0411%6 Oct
dust213–5-0.0022%30 Sept
nuke13–70.0617%30 Sept
dust210–130.0110%18 Sept
overpass6–130.0310%28 Aug
nuke14–16-0.0513%19 Aug
dust211–130.0513%18 Aug
dust213–7-0.0421%18 Aug
nuke8–13-0.038%17 Aug
train10–13-0.0124%18 Jul
nuke13–110.0110%18 Jul
dust210–130.0119%18 Jul
ancient7–13-0.0313%11 Jul
mirage11–13-0.0211%10 Jul
nuke13–80.0316%10 Jul
ancient1–4-0.0213%10 Jul
train11–130.0315%7 Jul
dust213–50.0210%7 Jul

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →