Atif Oberlton

Atif Oberlton — CS2 Stats

76561199206100705[U:1:1245834977]Steam profile ↗1 game ban

288Tracked matches63%Win rate2024Tracked since
CSDB Rating6.0 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim75
Positioning57
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY454411Last 10045%Win rateLLTWWTWLLW

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression7.7
Utility2.6
Positioning5.7
Opening Duels3.3

Limited utility dependence

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 87% playstyle similarity

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

Where you differ: lower aim profile; 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

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

Reaction time. 700ms 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
Positioning5.7
Utility2.6
Mechanics6.6
Opening Duels3.3
Win Impact9.3

Composite 6.0/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time709ms+46ms
first ⅓ avg 663ms → last ⅓ avg 709ms
Headshot accuracy24.6%+6.0%
first ⅓ avg 18.6% → last ⅓ avg 24.6%

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

0.14Best rating — nuke 13–5
131Biggest win — nuke
7Longest win streak
L2Current streak
65In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 71% over 7infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB30151550%-0.01
dust2B21101148%0.00
nukeC135838%0.01
anubisB126650%0.01
infernoD102820%-0.02
ancientS75271%-0.00
cache31233%-0.06
vertigo2020%0.00
train21150%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
47.3%Spray accuracy
79.7%Counter-strafing
10.6°Preaim
700msReaction time
47.9%T opening success
38.8%CT opening success
0.42Enemies flashed / flash
2.7%Flash assists
9.65HE damage / grenade
3.94Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 700.0539ms — above the 700ms 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 0.4243 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.785% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0443%29 Aug
dust28–130.0645%29 Aug
mirage15–15-0.0122%25 Aug
dust213–9-0.0323%25 Aug
mirage13–8-0.0523%24 Aug
mirage15–15-0.0415%24 Aug
dust213–70.0827%22 Aug
inferno9–13-0.0325%22 Aug
nuke5–130.0219%22 Aug
cache13–90.0128%15 Jul
anubis11–13-0.0428%28 Jun
mirage13–8-0.0638%27 Jun
mirage0–13-0.1127%24 Jun
mirage13–70.0119%24 Jun
anubis13–11-0.0534%23 Jun
nuke13–50.1428%23 Jun
mirage13–20.0412%23 Jun
dust213–60.0819%22 Jun
mirage11–13-0.0726%20 Jun
mirage15–150.0117%19 Jun
dust29–13-0.0122%18 Jun
mirage9–13-0.0611%13 Jun
nuke13–1-0.0320%13 Jun
mirage13–90.0511%12 Jun
dust216–13-0.0427%12 Jun
mirage13–60.0829%12 Jun
mirage13–100.0423%9 Jun
nuke13–40.0017%17 May
anubis13–30.0730%11 May
cache1–13-0.1042%6 May
ancient13–60.0925%6 May
ancient13–11-0.0124%1 May
dust21–13-0.1313%30 Apr
ancient15–150.0629%30 Apr
anubis7–13-0.0638%30 Apr
mirage13–60.0741%30 Apr
cache7–11-0.0722%29 Apr
nuke2–13-0.0338%28 Apr
mirage12–12-0.0523%27 Apr
anubis13–110.0117%24 Apr
inferno13–110.0122%16 Apr
anubis8–130.0218%15 Apr
mirage13–40.029%15 Apr
inferno7–130.0021%14 Apr
vertigo2–13-0.00100%12 Apr
dust210–13-0.0122%9 Apr
inferno1–10-0.0714%9 Apr
anubis13–60.1011%1 Apr
nuke12–120.1337%31 Mar
inferno13–40.0128%15 Mar
mirage13–50.0111%15 Mar
ancient0–13-0.0831%15 Mar
nuke6–13-0.0416%14 Mar
mirage13–4-0.0236%14 Mar
dust216–130.0529%14 Mar
mirage10–13-0.0333%14 Mar
dust213–4-0.0022%14 Mar
mirage13–80.0223%14 Mar
dust213–100.0917%13 Mar
anubis13–80.019%13 Mar
mirage13–70.0320%12 Mar
nuke10–13-0.0510%11 Mar
inferno12–120.0019%11 Mar
mirage5–13-0.1218%10 Mar
train4–13-0.0418%10 Mar
mirage13–16-0.0114%10 Mar
inferno4–13-0.0519%8 Mar
mirage4–13-0.0710%8 Mar
dust25–13-0.0521%8 Mar
nuke10–13-0.0422%8 Mar
inferno7–13-0.0324%8 Mar
ancient13–5-0.059%8 Mar
mirage12–12-0.027%7 Mar
dust213–5-0.0133%7 Mar
dust215–15-0.0021%7 Mar
nuke10–130.0410%7 Mar
dust26–130.005%6 Mar
inferno12–160.0220%6 Mar
nuke11–130.0236%6 Mar
dust213–40.0823%6 Mar
dust27–13-0.0416%5 Mar
inferno11–13-0.0321%5 Mar
anubis14–160.0313%5 Mar
dust216–14-0.0319%4 Mar
anubis5–13-0.0114%4 Mar
mirage13–11-0.0113%3 Mar
anubis6–10.044%3 Mar
ancient13–40.0120%3 Mar
nuke9–1-0.055%3 Mar
mirage13–16-0.057%2 Mar
anubis10–13-0.067%1 Mar
dust215–150.0322%1 Mar
ancient13–6-0.0531%28 Feb
dust215–150.0116%28 Feb
mirage13–16-0.0120%28 Feb
mirage13–40.0117%28 Feb
vertigo10–130.0126%28 Feb
train13–8-0.0225%28 Feb
nuke13–3-0.0144%27 Feb
mirage2–90.0430%27 Feb

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →