GeRa

GeRa — CS2 Stats

76561198379368554[U:1:419102826]Steam profile ↗✓ No bans

1,810Tracked matches63%Win rate2023Tracked since
787Hours in CS
CSDB Rating5.2 DevelopingClutch Specialist
Premier CS Rating13,785Blue band · top ~34.8% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (51 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,785 -293 27 Dec – 15 Sept · 27 days played
10,59514,772peak 14,77227 Dec15 Sept
14,875Peak Premier in tracked matches
982Highest Faceit ELO seen on CSDB
55Days played since 2025-12-27

Faceit ELO

  • At peak — 982
  • Next: Level 5 at 1,051 — 69 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 987 below peak (14,772)
  • +2,620 over 90 days
  • Next: Purple band at 15,000 — 1,215 to go
  • Reached: 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 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 rate35.7%42.0%44.4%8.6% short
Shot accuracy5.9%9.6%11.9%6.0% short
Kill/death ratio0.690.981.030.34 short
Match win rate43.7%43.8%45.2%1.6% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGGeRaPREMIER13,785 · Blue bandPEAK ELO982csdb.gg/stats

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Performance scores

Aim66
Positioning34
Utility36

0–100 skill scores via Leetify.

Recent form

HOT45–54–1Last 10045%Win rateWWLLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · +0.0pp headshot accuracy · −75ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 544ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 553ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 591ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim6.6
Utility3.6
Positioning3.4
Opening Duels1.4
Clutch4.4

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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 602ms 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

Aim6.6
Positioning3.4
Utility3.6
Mechanics7.7
Opening Duels1.5
Win Impact9.4

Composite 5.2/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time617ms−37ms
first ⅓ avg 654ms → last ⅓ avg 617ms
Headshot accuracy10.4%−3.4%
first ⅓ avg 13.9% → last ⅓ avg 10.4%

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 · anubis, 9 Sept →
27%Best headshot accuracy · 4–13 · mirage, 28 Jan →
469msFastest reaction time · 9–13 · ancient, 15 Sept →
13–0Biggest win · nuke, 16 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
6–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 71% over 7dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD277–2026%-0.03
nukeA2011–955%-0.02
anubisA1610–663%-0.01
ancientB158–753%-0.01
infernoS75–271%-0.04
cacheB63–350%-0.01
dust2D50–50%-0.03
overpass—41–325%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,562Lifetime kills
0.69K/D
1,867Matches
43.7%Match win rate
35.7%Headshot %
5.9%Shot accuracy
2,641MVPs
787Hours (in match)
1,495Bombs planted
458Bombs defused

Most-used weapons

Lifetime map wins

3,894nuke
2,773vertigo
2,402inferno
467dust2
141office
63train
16cbble
6ar_shoots

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

Faceit stats

Combat

97Matches
49%Win rate
0.86Avg K/D
64.7ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3250%0.8912.9
Nuke1753%1.1611.8
Ancient1331%0.7210.9
Anubis1369%0.6610.2
Inferno1145%0.6710.6
Dust2333%0.448.0
Vertigo367%1.7911.7
Train10%0.447.0

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.

10.4%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.2%Spray accuracy
84.6%Counter-strafing
10.6°Preaim
602msReaction time
32.4%T opening success
39.2%CT opening success
0.34Enemies flashed / flash
1.6%Flash assists
5.48HE damage / grenade
6.18Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.3821% — below the 15% 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 0.3366 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 32.3691% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0711%15 Sept →
mirage13–11-0.009%15 Sept →
ancient9–130.017%15 Sept →
inferno10–13-0.0711%12 Sept →
mirage8–13-0.069%11 Sept →
cache13–8-0.059%9 Sept →
nuke13–9-0.038%9 Sept →
ancient13–90.0410%9 Sept →
anubis13–10.1416%9 Sept →
nuke13–10-0.0214%9 Sept →
ancient13–11-0.0314%8 Sept →
nuke13–50.017%8 Sept →
anubis14–16-0.0812%5 Sept →
anubis5–13-0.045%4 Sept →
mirage3–13-0.088%4 Sept →
mirage13–4-0.030%19 Jul →
anubis13–6-0.0423%19 Jul →
inferno13–6-0.034%18 Jul →
nuke4–13-0.1011%18 Jul →
mirage8–13-0.0518%18 Jul →
anubis13–10-0.0112%18 Jul →
mirage5–13-0.034%17 Jul →
ancient13–100.004%17 Jul →
ancient13–70.0112%16 Jul →
nuke13–00.0612%16 Jul →
mirage10–13-0.038%16 Jul →
anubis10–13-0.0114%15 Jul →
anubis16–13-0.0317%15 Jul →
nuke16–13-0.078%14 Jul →
cache13–3-0.0110%14 Jul →
nuke11–13-0.0014%13 Jul →
cache3–13-0.0310%13 Jul →
inferno9–60.0113%19 Jun →
mirage13–9-0.0213%17 Jun →
ancient13–90.0018%17 Jun →
mirage6–13-0.0316%16 Jun →
ancient11–13-0.073%27 May →
mirage4–13-0.035%26 May →
dust27–13-0.0512%26 May →
mirage13–7-0.039%25 May →
mirage10–13-0.0211%25 May →
nuke6–13-0.025%25 May →
dust214–16-0.0218%25 May →
anubis13–6-0.0420%24 May →
dust26–13-0.0726%22 May →
mirage8–13-0.0413%21 May →
ancient13–9-0.0221%21 May →
nuke13–11-0.0120%19 May →
ancient13–16-0.0420%18 May →
mirage13–10-0.0313%15 May →
anubis13–80.0812%15 May →
nuke4–13-0.089%14 May →
overpass5–13-0.066%13 May →
anubis7–13-0.0511%13 May →
nuke9–60.1422%13 May →
cache11–130.0514%3 May →
cache9–13-0.103%29 Apr →
mirage13–5-0.0217%26 Apr →
anubis16–12-0.0712%25 Apr →
dust215–15-0.0114%23 Apr →
nuke13–11-0.0512%23 Apr →
mirage2–6-0.0211%23 Apr →
nuke11–130.0110%22 Apr →
mirage8–130.0114%20 Apr →
nuke10–13-0.0210%5 Apr →
nuke16–13-0.048%5 Apr →
mirage9–13-0.0210%4 Apr →
nuke13–8-0.018%4 Apr →
anubis2–13-0.1011%25 Mar →
mirage8–130.0215%3 Mar →
nuke11–13-0.0510%28 Feb →
mirage13–160.026%26 Feb →
ancient4–13-0.0019%26 Feb →
mirage7–13-0.058%24 Feb →
anubis13–30.000%24 Feb →
inferno13–60.0012%4 Feb →
inferno16–14-0.059%3 Feb →
nuke9–13-0.0324%31 Jan →
mirage6–13-0.0613%30 Jan →
nuke13–70.0119%30 Jan →
inferno13–4-0.0213%29 Jan →
anubis10–13-0.0121%29 Jan →
ancient12–16-0.0523%29 Jan →
overpass13–9-0.0212%28 Jan →
mirage12–16-0.029%28 Jan →
mirage4–13-0.0727%28 Jan →
anubis13–90.006%28 Jan →
overpass9–13-0.0113%27 Jan →
anubis13–30.0714%25 Jan →
ancient3–13-0.0617%25 Jan →
ancient13–7-0.0015%31 Dec →
nuke13–16-0.0422%30 Dec →
ancient13–10-0.029%29 Dec →
mirage13–110.027%29 Dec →
ancient3–130.0114%28 Dec →
overpass10–13-0.0012%28 Dec →
inferno4–9-0.1618%28 Dec →
dust213–16-0.0211%27 Dec →
mirage4–13-0.0722%27 Dec →
mirage3–13-0.0917%27 Dec →

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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