Jah The Rat

Jah The Rat — CS2 Stats

76561198292130969[U:1:331865241]Steam profile ↗✓ No bans

1,638Tracked matches50%Win rate2023Tracked since
1,935Hours in CS14Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+44Tracked matches · now 1,638
−1.8ppWin rate · 51.8% → 50.0%

Rating over time

46Days played since 2026-07-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches52——
Win rate50%——
K/D0.82——
Headshot %45%——

Measured 14 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,003), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate41.5%41.3%41.8%meets
Shot accuracy0.8%12.7%12.2%11.4% short
Kill/death ratio0.910.950.980.07 short
Match win rate45.2%42.6%43.3%above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJah The RatFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning57
Utility36

0–100 skill scores via Leetify.

Recent form

COLD47–45–8Last 10047%Win rateLLLLWWTWLL

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +1.7pp headshot accuracy · +44ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 628ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

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 (+2.2 against its own average).

Aim7.5
Utility3.6
Positioning5.7
Opening Duels2.2
Clutch2.6

Strong CT-side openerLimited 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

ropz

Plays most like ropz 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 575ms 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
Utility3.6
Mechanics7.9
Opening Duels3.7
Win Impact5.0

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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time577ms−47ms
first ⅓ avg 624ms → last ⅓ avg 577ms
Headshot accuracy16.0%−2.0%
first ⅓ avg 18.0% → last ⅓ avg 16.0%

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

0.08Best match rating · 13–7 · dust2, 27 Sept →
47%Best headshot accuracy · 5–13 · mirage, 16 Aug →
398msFastest reaction time · 13–7 · office, 6 Oct →
13–1Biggest win · dust2, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
6–1In matches decided by ≤2 rounds

Map breakdown

officeBest map · 80% over 10infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3919–2049%-0.03
dust2B189–950%-0.02
officeS108–280%-0.01
nukeA74–357%0.00
cacheA74–357%-0.01
infernoD50–50%-0.05
vertigoD51–420%-0.01
anubis—41–325%-0.01
ancient—10–10%-0.04
italy—10–10%0.00
overpass—10–10%-0.10
train—11–0100%-0.09
debris—10–10%-0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,232Lifetime kills
0.91K/D
2,467Matches
45.2%Match win rate · Top 50% of Level 2 players
41.5%Headshot % · Top 50% of Level 2 players
0.8%Shot accuracy
4,125MVPs
825Hours (in match)
2,664Bombs planted
329Bombs defused

Most-used weapons

Lifetime map wins

2,723dust2
2,466office
2,248nuke
1,777vertigo
1,383inferno
554train
160italy
9lake

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

Faceit stats

Combat

21Matches
43%Win rate
1.05Avg K/D
73.8ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient633%1.0212.5
Nuke425%0.9917.5
Mirage333%0.9614.0
Anubis367%1.2816.0
Inferno250%0.9215.5
Dust2250%0.8312.5
Overpass1100%1.7521.0

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.

16.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
30.2%Spray accuracy
85.6%Counter-strafing
7.3°Preaim
575msReaction time
38.3%T opening success
51.5%CT opening success
0.52Enemies flashed / flash
6.3%Flash assists
9.48HE damage / grenade
4.26Flashes / 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 38.3016% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust20–6-0.1117%14 Oct →
dust22–13-0.0413%11 Oct →
inferno6–9-0.137%11 Oct →
mirage8–13-0.0421%10 Oct →
nuke13–100.0229%10 Oct →
mirage13–6-0.0713%10 Oct →
inferno8–80.0011%10 Oct →
mirage13–7-0.0410%10 Oct →
dust26–13-0.0332%7 Oct →
inferno7–13-0.107%7 Oct →
office13–70.0418%6 Oct →
mirage6–13-0.0717%4 Oct →
mirage4–13-0.0621%4 Oct →
mirage11–13-0.0320%3 Oct →
mirage13–40.069%1 Oct →
nuke8–13-0.027%1 Oct →
ancient4–13-0.0411%1 Oct →
cache13–80.0417%1 Oct →
office4–13-0.078%30 Sept →
dust212–12-0.0315%30 Sept →
mirage5–13-0.0629%27 Sept →
dust213–70.0825%27 Sept →
vertigo13–8-0.038%24 Sept →
dust210–30.0223%24 Sept →
cache13–4-0.0314%24 Sept →
cache6–13-0.0312%23 Sept →
mirage12–12-0.0215%23 Sept →
anubis10–13-0.0325%22 Sept →
mirage13–70.0323%22 Sept →
anubis13–20.0116%20 Sept →
office13–11-0.0213%19 Sept →
mirage13–10-0.0310%19 Sept →
mirage13–7-0.0110%18 Sept →
mirage13–110.0210%18 Sept →
mirage1–13-0.0328%18 Sept →
mirage13–7-0.056%17 Sept →
mirage13–11-0.0015%17 Sept →
nuke12–10.0530%15 Sept →
dust213–8-0.0018%15 Sept →
mirage6–13-0.0736%14 Sept →
mirage13–11-0.0419%14 Sept →
nuke5–130.0117%11 Sept →
dust213–10-0.0511%11 Sept →
mirage4–13-0.0317%11 Sept →
nuke13–10-0.017%8 Sept →
dust213–30.0225%6 Sept →
mirage10–13-0.0419%4 Sept →
mirage13–4-0.0013%4 Sept →
office13–70.0214%4 Sept →
mirage2–13-0.0315%4 Sept →
mirage13–4-0.0223%3 Sept →
office13–40.0520%2 Sept →
dust27–3-0.059%2 Sept →
mirage6–4-0.028%2 Sept →
office9–13-0.0714%1 Sept →
mirage13–11-0.029%1 Sept →
dust212–120.0031%31 Aug →
office13–6-0.019%31 Aug →
mirage2–130.0116%31 Aug →
inferno10–130.0314%31 Aug →
mirage9–13-0.0717%30 Aug →
mirage6–13-0.0325%28 Aug →
vertigo12–12-0.0216%27 Aug →
dust20–12-0.036%26 Aug →
mirage10–13-0.019%26 Aug →
cache13–90.0013%25 Aug →
dust26–13-0.0039%23 Aug →
anubis3–130.0314%23 Aug →
mirage12–120.0115%22 Aug →
nuke9–13-0.0712%22 Aug →
dust213–7-0.0226%21 Aug →
office13–60.0023%21 Aug →
dust26–130.0317%20 Aug →
nuke13–70.0431%20 Aug →
mirage5–13-0.0547%16 Aug →
vertigo7–130.0318%16 Aug →
mirage13–5-0.0214%16 Aug →
cache10–13-0.0115%10 Aug →
anubis5–13-0.0514%8 Aug →
dust20–13-0.0411%7 Aug →
mirage13–40.0412%7 Aug →
mirage3–13-0.080%6 Aug →
office13–8-0.0520%6 Aug →
cache10–13-0.0216%6 Aug →
mirage8–13-0.0913%6 Aug →
italy12–120.0018%6 Aug →
mirage13–8-0.0319%6 Aug →
inferno9–13-0.0419%6 Aug →
overpass4–13-0.109%6 Aug →
train4–0-0.090%6 Aug →
vertigo12–120.0122%6 Aug →
office13–50.0124%4 Aug →
mirage6–130.0019%4 Aug →
vertigo5–13-0.0223%3 Aug →
cache7–10.0230%3 Aug →
dust213–1-0.0033%1 Aug →
dust213–10-0.0316%31 Jul →
mirage13–40.0117%31 Jul →
mirage13–70.0213%31 Jul →
debris1–9-0.1513%30 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.