Jera

Jera — CS2 Stats

FI76561198055855664[U:1:95589936]Steam profile ↗✓ No bans

919Tracked matches53%Win rate2020Tracked since
2,732Hours in CS9Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating24,999Top 25% of 213,211 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#23089 of 259939 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+214Premier CS Rating · 24,785 → 24,999

Rating over time

Premier CS Rating: 24,999 +7,439 12 Oct – 4 Nov · 18 days played
16,57224,999peak 24,99912 Oct4 Nov
24,999Peak Premier in tracked matches
49Days played since 2025-07-02

Premier CS Rating

  • At peak — 24,999
  • Next: Red band at 25,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.8%46.9%49.3%7.5% short
Shot accuracy17.8%13.0%13.4%above
Kill/death ratio1.101.081.120.02 short
Match win rate48.4%46.7%48.5%meets

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJeraPREMIER24,999 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning53
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWLWLLWWWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −9.2pp headshot accuracy · −51ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 562ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 598ms

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 (+2.6 against its own average).

Aim7.0
Utility3.9
Positioning5.3
Opening Duels0.8
Clutch1.0

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

iM

Plays most like iM 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 598ms 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

Aim7.0
Positioning5.3
Utility3.9
Mechanics7.0
Opening Duels1.8
Win Impact6.1

Composite 5.7/10 (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-0.02−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time607ms−12ms
first ⅓ avg 619ms → last ⅓ avg 607ms
Headshot accuracy21.4%+0.3%
first ⅓ avg 21.2% → last ⅓ avg 21.4%

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.

Personal bests

0.14Best match rating · 13–1 · nuke, 4 Oct →
50%Best headshot accuracy · 2–13 · anubis, 21 Apr →
438msFastest reaction time · 8–13 · ancient, 23 Jul →
13–1Biggest win · train, 8 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
7–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 71% over 7mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2818–1064%0.02
ancientB2111–1052%-0.01
cacheA127–558%-0.01
overpassC94–544%0.02
anubisA85–363%-0.01
mirageD82–625%-0.05
trainS75–271%0.03
infernoC52–340%-0.01
dust2—21–150%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,706Lifetime kills
1.10K/D · Top 50% of Pink band
3,797Matches
48.4%Match win rate · Top 50% of Pink band
41.8%Headshot %
17.8%Shot accuracy · Top 25% of Pink band
9,179MVPs
1,662Hours (in match)
6,139Bombs planted
1,144Bombs defused

Most-used weapons

AK-4728,307
AWP5,672
P2502,735
FAMAS1,485
Knife1,463

Lifetime map wins

5,625inferno
5,595nuke
3,549train
2,223dust2
628cbble
619vertigo
79lake
76office

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

Faceit stats

Combat

622Matches
50%Win rate
0.92Avg K/D
72.9ADR
41%Headshot %

Clutches & streaks

25%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke786%1.1317.4
Ancient771%1.3014.7
Mirage450%1.4613.0
Anubis450%0.8113.8
Cache3100%1.1013.7
Inferno2100%1.4019.0
Dust210%0.8814.0
Train1100%1.2117.0

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.

20.9%Headshot accuracy
31.7%Accuracy (enemy spotted)
34.7%Spray accuracy
81.6%Counter-strafing
9.0°Preaim
598msReaction time
34.6%T opening success
40.1%CT opening success
0.50Enemies flashed / flash
4.8%Flash assists
6.34HE damage / grenade
4.78Flashes / 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 34.5915% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0113%4 Nov →
cache10–13-0.0819%4 Nov →
ancient13–100.0018%4 Nov →
cache8–13-0.0530%1 Nov →
nuke6–13-0.109%1 Nov →
cache13–8-0.0032%30 Oct →
ancient13–110.0119%30 Oct →
dust213–80.0115%30 Oct →
anubis13–70.0312%30 Oct →
mirage2–6-0.066%29 Oct →
nuke16–13-0.0420%29 Oct →
cache8–00.0525%22 Oct →
cache13–6-0.0036%21 Oct →
ancient13–10-0.0315%10 Oct →
cache10–130.0020%10 Oct →
ancient3–7-0.0438%3 Sept →
anubis4–13-0.0619%19 Aug →
nuke16–130.0321%18 Aug →
ancient8–13-0.0127%23 Jul →
ancient1–13-0.0644%23 Jul →
cache13–10-0.0515%23 Jul →
ancient1–13-0.0513%22 Jul →
cache5–13-0.0730%22 Jul →
nuke13–90.0421%22 Jul →
nuke7–10-0.0126%19 Jul →
cache13–60.0119%19 Jul →
overpass13–10-0.0011%30 May →
ancient10–13-0.0130%29 May →
mirage1–13-0.0815%29 May →
ancient13–100.0121%20 May →
nuke8–130.0532%17 May →
nuke9–13-0.0126%14 May →
cache13–60.0311%14 May →
mirage13–10-0.0226%12 May →
dust25–13-0.0731%12 May →
overpass12–160.0120%12 May →
nuke13–30.0924%11 May →
cache13–100.0224%11 May →
cache8–130.0117%4 May →
overpass9–130.0425%24 Apr →
inferno3–13-0.0221%23 Apr →
ancient8–13-0.1022%23 Apr →
ancient4–13-0.0617%21 Apr →
anubis2–13-0.0250%21 Apr →
nuke13–50.0733%21 Apr →
overpass13–40.0720%20 Apr →
anubis13–8-0.0430%18 Apr →
nuke10–2-0.0026%16 Apr →
nuke7–130.0120%13 Apr →
mirage11–13-0.0818%13 Apr →
overpass5–13-0.0330%13 Apr →
anubis6–13-0.0831%13 Apr →
inferno13–7-0.0515%13 Apr →
nuke8–13-0.0519%11 Apr →
anubis13–30.0718%9 Apr →
nuke13–110.0922%9 Apr →
ancient13–30.0226%9 Apr →
mirage5–13-0.0815%5 Apr →
nuke13–11-0.0115%5 Apr →
ancient13–70.0114%5 Apr →
nuke13–50.0438%5 Apr →
nuke13–10-0.0919%22 Nov →
train13–6-0.0213%22 Nov →
mirage9–13-0.0426%22 Nov →
ancient10–20.0819%17 Nov →
inferno0–2-0.010%17 Nov →
nuke13–7-0.0127%16 Nov →
nuke11–130.0330%25 Oct →
nuke8–13-0.0129%22 Oct →
overpass5–13-0.1220%22 Oct →
ancient13–110.0315%12 Oct →
inferno13–110.0225%9 Oct →
nuke13–50.0227%9 Oct →
overpass13–90.0826%9 Oct →
nuke13–40.0113%9 Oct →
nuke13–50.0416%8 Oct →
ancient13–60.0822%8 Oct →
nuke13–70.0219%8 Oct →
train13–1-0.0324%8 Oct →
nuke13–10.1426%4 Oct →
inferno6–130.0339%4 Oct →
ancient4–13-0.0321%16 Aug →
overpass13–40.0917%16 Aug →
ancient7–130.0314%10 Aug →
mirage2–13-0.0513%10 Aug →
overpass0–130.0011%28 Jul →
ancient13–8-0.0426%28 Jul →
train11–13-0.0229%27 Jul →
nuke12–120.0421%27 Jul →
nuke13–90.0529%25 Jul →
train13–10.1122%14 Jul →
ancient11–13-0.0424%13 Jul →
train13–110.1123%13 Jul →
ancient13–100.0319%10 Jul →
train7–130.0225%10 Jul →
nuke7–13-0.0115%10 Jul →
nuke13–90.1215%2 Jul →
mirage16–130.0116%2 Jul →
anubis13–60.0621%2 Jul →
train13–30.078%2 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
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.