MOTJERAHMAN

MOTJERAHMAN — CS2 Stats

FM76561199089351952[U:1:1129086224]Steam profile ↗✓ No bans

1,739Tracked matches40%Win rate2021Tracked since
1,196Hours in CS
CSDB Rating3.5 LearningPositional Player
Premier CS Rating12,918Blue band · top ~39.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 12,918 → 12,918
0Faceit ELO · 1,175 → 1,175
+1Tracked matches · now 1,739
−3.3ppWin rate · 43.3% → 40.0%

Rating over time

Premier CS Rating: 12,918 +8,964 26 Sept – 21 Sept · 48 days played
2,99713,567peak 13,56726 Sept21 Sept
Faceit ELO: 1,175 +0 28 Aug – 21 Sept · 6 observations
1,1751,175peak 1,17528 Aug21 Sept
13,682Peak Premier in tracked matches
1,175Highest Faceit ELO seen on CSDB
68Days played since 2025-09-23

Faceit ELO

  • At peak — 1,175
  • 0 over 30 days · steady
  • Next: Level 6 at 1,201 — 26 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-28
  • Level 4 first seen 2026-08-28

Premier CS Rating

  • 649 below peak (13,567)
  • +478 over 30 days · improving
  • Next: Purple band at 15,000 — 2,082 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate45.9%42.0%44.4%above
Shot accuracy11.2%9.6%11.9%0.7% short
Kill/death ratio0.950.981.030.08 short
Match win rate43.5%43.8%45.2%1.7% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMOTJERAHMANPREMIER12,918 · Blue band30 DAYS0 ELOPEAK ELO1,175csdb.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

Aim37
Positioning49
Utility38

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLLLWLLLLLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −7.8pp headshot accuracy · −156ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 588ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 499ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

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 Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim3.7
Utility3.8
Positioning4.9
Opening Duels3.4
Clutch2.8

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.

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

jL

Plays most like jL 81% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning4.9
Utility3.8
Mechanics4.0
Opening Duels2.4
Win Impact1.7

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time616ms−66ms
first ⅓ avg 682ms → last ⅓ avg 616ms
Headshot accuracy17.8%−1.5%
first ⅓ avg 19.3% → last ⅓ avg 17.8%

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

0.12Best match rating · 11–13 · train, 12 Oct →
44%Best headshot accuracy · 8–3 · mirage, 25 Sept →
453msFastest reaction time · 10–13 · nuke, 16 Aug →
13–1Biggest win · overpass, 21 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–11In matches decided by ≤2 rounds
17Overtime games

Map breakdown

dust2Best map · 64% over 14nukeWeakest map · 24% over 21
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%0.00
nukeD215–1624%0.01
mirageA2011–955%-0.00
dust2A149–564%0.00
ancientB115–645%0.00
anubis—31–233%0.03
train—30–30%0.07
cache—20–20%-0.04
vertigo—20–20%-0.03
overpass—21–150%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (24% over 21). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,046Lifetime kills
0.95K/D
3,777Matches
43.5%Match win rate
45.9%Headshot % · Top 50% of Blue band
11.2%Shot accuracy · Top 50% of Blue band
6,604MVPs
1,196Hours (in match)
2,806Bombs planted
523Bombs defused

Most-used weapons

AK-4713,594
AWP8,162
MP91,847
Knife1,560
MAC-101,214

Lifetime map wins

6,244inferno
4,673dust2
2,753nuke
2,658vertigo
295train
275office
64lake
39italy

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

Faceit stats

Combat

351Matches
50%Win rate
1.02Avg K/D
81.9ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8450%0.9916.7
Dust26749%1.1616.9
Inferno4751%0.9916.5
Anubis3845%0.9515.1
Ancient3256%1.1017.8
Nuke2662%1.0115.3
Train450%0.8212.8
Overpass475%0.7011.0

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.

18.8%Headshot accuracy
29.0%Accuracy (enemy spotted)
32.7%Spray accuracy
68.0%Counter-strafing
12.2°Preaim
635msReaction time
43.3%T opening success
36.0%CT opening success
0.48Enemies flashed / flash
5.8%Flash assists
13.08HE damage / grenade
2.80Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2° — above the 12° 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 0.4778 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke0–11-0.0017%28 Oct →
nuke5–130.0819%12 Sept →
mirage10–13-0.0316%27 Aug →
mirage13–2-0.0118%27 Aug →
dust24–13-0.0323%20 Aug →
mirage8–13-0.0710%17 Aug →
mirage7–13-0.0517%17 Aug →
nuke10–13-0.0613%16 Aug →
ancient0–2-0.150%16 Aug →
inferno4–13-0.0711%13 Aug →
dust210–13-0.0219%2 Aug →
mirage13–3-0.0021%1 Aug →
inferno9–13-0.0519%30 Jul →
dust216–140.0128%27 Jul →
mirage13–4-0.0218%26 Jul →
mirage13–70.0117%25 Jul →
nuke11–13-0.0829%24 Jul →
cache11–13-0.0322%15 Jul →
inferno13–20.0123%15 Jul →
nuke0–6-0.0125%6 Jun →
nuke13–50.0016%17 May →
ancient13–4-0.0317%8 May →
cache6–13-0.0525%7 May →
inferno12–160.0714%6 May →
nuke13–50.0526%6 May →
mirage11–130.0231%2 May →
anubis11–130.0521%27 Apr →
inferno13–80.0315%27 Apr →
anubis16–13-0.0013%11 Apr →
mirage16–13-0.0311%10 Apr →
inferno13–100.0114%10 Apr →
mirage6–130.0113%7 Apr →
mirage16–120.0610%6 Apr →
dust216–120.0119%6 Apr →
ancient9–13-0.0217%4 Apr →
inferno10–13-0.0322%4 Apr →
anubis10–130.0627%3 Apr →
dust213–100.0915%3 Apr →
mirage13–110.0315%3 Apr →
inferno13–5-0.0210%3 Apr →
mirage11–13-0.0716%1 Apr →
nuke13–100.0626%1 Apr →
dust213–90.0027%31 Mar →
nuke13–70.1010%29 Mar →
mirage13–80.0322%29 Mar →
dust213–90.0419%26 Mar →
nuke2–3-0.0033%18 Mar →
mirage13–30.0515%15 Mar →
inferno13–70.0119%14 Feb →
nuke13–80.0117%7 Feb →
ancient15–150.0822%2 Jan →
inferno11–130.0112%30 Dec →
nuke6–13-0.0520%12 Dec →
nuke2–10-0.0341%9 Dec →
inferno1–13-0.0224%8 Dec →
nuke6–130.0335%15 Nov →
mirage15–150.0123%14 Nov →
ancient13–11-0.0114%8 Nov →
vertigo3–13-0.0021%4 Nov →
inferno4–13-0.0815%2 Nov →
nuke8–130.0820%2 Nov →
dust28–130.0215%2 Nov →
inferno5–13-0.0012%27 Oct →
nuke14–160.0516%26 Oct →
inferno16–140.0815%22 Oct →
overpass13–10.1227%21 Oct →
inferno9–13-0.0723%19 Oct →
inferno13–50.0814%19 Oct →
nuke2–13-0.0012%18 Oct →
nuke8–130.0118%18 Oct →
mirage12–160.0310%18 Oct →
ancient13–8-0.0017%16 Oct →
inferno13–50.1024%16 Oct →
dust213–10-0.0612%15 Oct →
mirage6–13-0.0217%15 Oct →
inferno7–13-0.0113%15 Oct →
mirage13–80.1225%14 Oct →
train11–130.1223%12 Oct →
ancient3–130.0912%11 Oct →
dust215–150.0025%10 Oct →
nuke4–13-0.0618%10 Oct →
overpass6–130.0113%8 Oct →
inferno16–120.1018%8 Oct →
train10–13-0.0119%7 Oct →
ancient16–13-0.0113%1 Oct →
inferno7–13-0.0116%30 Sept →
dust213–110.0122%30 Sept →
ancient12–160.0114%29 Sept →
dust215–15-0.0019%29 Sept →
vertigo1–13-0.0520%28 Sept →
nuke5–13-0.0031%28 Sept →
inferno11–13-0.0224%28 Sept →
ancient10–130.0210%27 Sept →
ancient13–40.0312%27 Sept →
inferno13–5-0.0225%26 Sept →
dust213–6-0.0424%26 Sept →
train15–150.0926%26 Sept →
nuke8–13-0.0031%26 Sept →
mirage8–3-0.0744%25 Sept →
dust213–1-0.0118%23 Sept →

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 →

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