After All That

After All That — CS2 Stats

GA76561198317167381[U:1:356901653]Steam profile ↗✓ No bans

1,035Tracked matches66%Win rate2020Tracked since
1,253Hours in CS
CSDB Rating6.2 SolidSupport
Premier CS Rating22,530Top 50% of 819 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#4724 of 15817 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAfter All ThatFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER22,530 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning36
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateWWWTWLWLLL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim6.4
Aggression4.4
Utility7.5
Positioning3.6
Opening Duels0.0
Clutch0.0

Strong CT-side openerHigh utility contribution

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 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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 40% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim6.4
Positioning3.6
Utility7.5
Mechanics7.9
Opening Duels1.3
Win Impact10.0

Composite 6.2/10 (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 -0.02 → last ⅓ avg -0.01
Reaction time604ms−12ms
first ⅓ avg 616ms → last ⅓ avg 604ms
Headshot accuracy19.4%+2.1%
first ⅓ avg 17.3% → last ⅓ avg 19.4%

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 — inferno 13–6
132Biggest win — mirage
4Longest win streak
W3Current streak
79In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 67% over 6ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA29171259%-0.01
dust2C1881044%-0.02
infernoC1771041%-0.00
ancientC114736%-0.01
anubisA116555%-0.02
vertigoA85363%0.00
nukeS64267%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,029Lifetime kills
0.93K/D
2,570Matches
52.3%Match win rate · Top 25% of Pink band
42.3%Headshot %
17.1%Shot accuracy · Top 25% of Pink band
6,770MVPs
1,253Hours (in match)
2,511Bombs planted
801Bombs defused

Most-used weapons

AK-4714,303
AWP8,401
P901,674
SG 5531,038
AUG1,020
P2501,017

Lifetime map wins

10,975dust2
4,341inferno
1,251vertigo
1,106nuke
482train
53cbble
13office
6ar_shoots

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

Faceit stats

Combat

9Matches
56%Win rate
0.96Avg K/D
77.5ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage560%1.0314.4
Inferno250%0.7713.5
Anubis250%0.9811.5

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.

19.0%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.7%Spray accuracy
85.6%Counter-strafing
10.3°Preaim
597msReaction time
17.7%T opening success
40.4%CT opening success
0.57Enemies flashed / flash
8.5%Flash assists
13.13HE damage / grenade
6.01Flashes / 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 17.7106% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.0417%18 Feb
dust213–90.0716%18 Feb
mirage13–5-0.0320%17 Feb
ancient12–120.0213%17 Feb
inferno13–10-0.0013%16 Feb
inferno11–13-0.0013%13 Feb
inferno13–110.0325%2 Feb
anubis6–13-0.0413%2 Feb
dust25–13-0.0818%1 Feb
ancient3–13-0.067%1 Feb
mirage13–30.0218%1 Feb
ancient13–10-0.0327%30 Jan
mirage13–11-0.0223%30 Jan
nuke13–60.0222%30 Jan
mirage11–13-0.0118%30 Jan
dust213–40.0327%29 Jan
dust25–13-0.0425%29 Jan
inferno13–8-0.0321%29 Jan
mirage13–11-0.0416%29 Jan
ancient13–80.0321%29 Jan
mirage9–130.0127%29 Jan
mirage13–100.0423%29 Jan
mirage13–4-0.0221%28 Jan
inferno13–30.0320%28 Jan
ancient11–13-0.0316%27 Jan
anubis13–80.0016%27 Jan
mirage3–13-0.0422%27 Jan
mirage13–11-0.0121%26 Jan
dust25–13-0.0919%26 Jan
mirage13–50.0014%23 Jan
ancient11–13-0.0220%23 Jan
dust213–5-0.0232%23 Jan
dust29–13-0.0419%22 Jan
vertigo13–100.0018%22 Jan
inferno10–13-0.0511%22 Jan
dust210–13-0.0129%21 Jan
ancient13–50.0922%21 Jan
anubis15–15-0.057%20 Jan
vertigo3–130.0126%20 Jan
ancient13–3-0.0023%20 Jan
inferno9–130.0115%20 Jan
mirage13–20.0015%19 Jan
nuke13–11-0.0425%19 Jan
mirage11–13-0.0212%19 Jan
inferno13–90.0522%19 Jan
dust24–13-0.078%19 Jan
anubis13–40.0524%19 Jan
mirage13–100.0320%19 Jan
vertigo9–130.0225%19 Jan
dust213–6-0.0129%19 Jan
dust213–100.0219%19 Jan
dust21–7-0.120%18 Jan
ancient11–13-0.0220%18 Jan
inferno9–13-0.0112%18 Jan
mirage7–13-0.0324%18 Jan
anubis13–40.0213%18 Jan
dust213–40.0542%18 Jan
mirage13–60.0419%16 Jan
dust29–13-0.0511%16 Jan
mirage10–130.0522%16 Jan
ancient2–8-0.0011%16 Jan
dust26–90.0220%15 Jan
anubis8–13-0.0227%15 Jan
anubis13–3-0.0214%15 Jan
vertigo5–13-0.0518%14 Jan
inferno15–15-0.0412%14 Jan
nuke11–13-0.0017%13 Jan
dust213–90.0115%13 Jan
inferno13–60.0214%13 Jan
dust27–13-0.0316%13 Jan
inferno9–13-0.0613%12 Jan
vertigo13–80.0523%12 Jan
mirage13–50.0422%12 Jan
anubis13–6-0.0110%12 Jan
mirage12–16-0.0626%12 Jan
mirage0–4-0.1012%12 Jan
nuke13–9-0.0119%11 Jan
anubis4–13-0.0916%11 Jan
vertigo13–5-0.0024%11 Jan
mirage8–13-0.0529%11 Jan
inferno9–13-0.0314%9 Jan
mirage13–9-0.0011%9 Jan
inferno10–13-0.0321%9 Jan
mirage2–13-0.1220%7 Jan
nuke13–3-0.0414%7 Jan
mirage11–13-0.0427%7 Jan
mirage11–130.0317%6 Jan
anubis7–13-0.0618%6 Jan
vertigo13–90.0216%6 Jan
anubis13–7-0.0418%3 Jan
mirage13–100.0113%3 Jan
mirage13–5-0.0411%3 Jan
inferno3–13-0.0411%3 Jan
nuke4–13-0.0310%3 Jan
vertigo13–11-0.0327%3 Jan
inferno13–60.1021%3 Jan
mirage13–4-0.0128%3 Jan
dust213–11-0.019%3 Jan
inferno9–130.0411%3 Jan
ancient7–13-0.0517%3 Jan

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 →