Jenny Ackerman

Jenny Ackerman — CS2 Stats

76561198130203682[U:1:169937954]Steam profile ↗✓ No bans

3,077Tracked matches62%Win rate2020Tracked since
CSDB Rating7.3 StrongPositional Player
Premier CS Rating26,870Top 5% of 204,316 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#6563 of 251430 tracked
FaceitLevel 10 · 2,551 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). 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: 26,870 -1,504 21 Apr – 12 Oct · 20 days played
25,50230,117peak 30,11721 Apr12 Oct
Faceit ELO: 2,551 +0 29 Aug – 19 Sept · 4 observations
2,5512,551peak 2,55129 Aug19 Sept
30,117Peak Premier in tracked matches
2,551Highest Faceit ELO seen on CSDB
64Days played since 2026-04-21

Faceit ELO

  • At peak — 2,551
  • Next: 3,000 ELO at 3,000 — 449 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-29
  • Level 10 first seen 2026-08-29

Premier CS Rating

  • 3,247 below peak (30,117)
  • +1,368 over 30 days · improving
  • -3,247 over 90 days
  • Next: Gold band at 30,000 — 3,130 to go
  • Reached: Gold band · Red band · Pink band · Purple band
  • Red band first seen 2026-09-19
  • Pink band first seen 2026-09-19

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.

Share this profile

CSDB.GGJenny AckermanFACEITLevel 10 · 2,551 ELOSTANDINGTop 12.4% of rankedPREMIER26,870 · Red bandPEAK ELO2,551csdb.gg/stats

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Performance scores

Aim66
Positioning76
Utility74

0–100 skill scores via Leetify.

Recent form

HOT60–33–7Last 10060%Win rateWLWWTWWWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −8.5pp headshot accuracy · −24ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 536ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 565ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • 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 (+1.5 against its own average).

Aim6.6
Utility7.4
Positioning7.6
Opening Duels5.5
Clutch3.8

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

donk

Plays most like donk 72% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 560ms 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
Positioning7.6
Utility7.4
Mechanics5.4
Opening Duels6.7
Win Impact9.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time568ms+11ms
first ⅓ avg 557ms → last ⅓ avg 568ms
Headshot accuracy23.6%+0.4%
first ⅓ avg 23.2% → last ⅓ avg 23.6%

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.

Personal bests

0.18Best match rating · 13–5 · cache, 3 Aug →
64%Best headshot accuracy · 13–7 · inferno, 4 Jul →
375msFastest reaction time · 0–13 · mirage, 25 Jun →
13–0Biggest win · mirage, 12 Jul →

Across the last 100 tracked matches.

Highlights

13Longest win streak
6–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 76% over 21infernoWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
cacheS2116–576%0.05
dust2B2111–1052%0.01
infernoB189–950%0.01
mirageA1811–761%-0.01
ancientA117–464%-0.00
nukeB63–350%0.04
anubis—21–150%-0.04
overpass—21–150%0.05
vertigo—11–0100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,473Matches
53%Win rate
1.05Avg K/D
76.0ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage52448%1.0014.4
Ancient50854%1.1015.2
Dust231851%1.0314.8
Anubis27053%1.0214.3
Inferno19164%1.1815.1
Nuke15754%0.9814.3
Overpass7658%1.2015.4
Vertigo7060%1.0715.4

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.

23.1%Headshot accuracy
31.4%Accuracy (enemy spotted)
35.1%Spray accuracy
74.2%Counter-strafing
10.7°Preaim
560msReaction time
61.6%T opening success
52.2%CT opening success
0.70Enemies flashed / flash
10.8%Flash assists
9.85HE damage / grenade
15.13Flashes / match

Recent matches

MapScoreRatingHS%Date
cache13–110.0225%12 Oct →
anubis1–5-0.1018%11 Oct →
dust213–80.0535%11 Oct →
inferno13–10-0.0412%9 Oct →
inferno15–150.0322%8 Oct →
inferno13–9-0.0111%7 Oct →
ancient13–60.0416%4 Oct →
ancient13–7-0.0415%28 Sept →
ancient1–8-0.1017%27 Sept →
mirage13–70.0722%24 Sept →
dust214–16-0.0522%14 Sept →
nuke4–00.0425%12 Sept →
dust216–120.0126%10 Sept →
ancient11–13-0.0615%9 Sept →
nuke3–13-0.0123%9 Sept →
dust213–11-0.0121%8 Sept →
cache11–130.0024%1 Sept →
nuke8–30.0960%31 Aug →
nuke13–40.0228%24 Aug →
dust213–5-0.0133%23 Aug →
inferno13–80.0528%21 Aug →
cache5–13-0.0317%21 Aug →
mirage13–70.1528%18 Aug →
dust25–130.0427%17 Aug →
cache13–30.048%15 Aug →
inferno11–130.0526%14 Aug →
ancient13–9-0.0216%11 Aug →
ancient4–13-0.028%10 Aug →
dust24–13-0.0138%5 Aug →
cache13–50.1835%3 Aug →
cache13–50.0330%3 Aug →
nuke13–160.0219%2 Aug →
dust29–13-0.0230%2 Aug →
cache10–13-0.0323%2 Aug →
dust28–130.0223%1 Aug →
ancient9–130.0126%31 Jul →
dust27–130.0313%29 Jul →
nuke12–120.1022%22 Jul →
dust215–150.0322%22 Jul →
cache6–13-0.0721%20 Jul →
mirage3–13-0.0328%16 Jul →
dust20–4-0.080%15 Jul →
inferno13–90.0824%15 Jul →
mirage13–0-0.0417%12 Jul →
dust213–110.0129%10 Jul →
dust213–9-0.0323%10 Jul →
inferno13–7-0.0064%4 Jul →
dust213–10.1824%3 Jul →
inferno9–130.0221%3 Jul →
ancient13–70.0923%3 Jul →
mirage13–80.0020%25 Jun →
mirage12–12-0.0127%25 Jun →
mirage0–13-0.0917%25 Jun →
vertigo6–2-0.068%25 Jun →
dust215–150.0134%24 Jun →
mirage1–13-0.060%24 Jun →
mirage13–9-0.0022%24 Jun →
mirage13–70.0624%23 Jun →
cache12–120.0013%20 Jun →
inferno11–130.0319%14 Jun →
mirage7–0-0.0612%14 Jun →
ancient13–90.0634%14 Jun →
inferno13–40.0440%12 Jun →
dust213–110.0125%4 Jun →
cache11–20.0119%1 Jun →
cache13–20.0638%30 May →
mirage4–13-0.0536%25 May →
ancient13–50.0227%20 May →
inferno0–4-0.000%19 May →
ancient13–3-0.0121%19 May →
overpass8–13-0.0220%19 May →
inferno13–100.0819%16 May →
dust213–00.0623%16 May →
mirage13–110.0127%12 May →
dust25–13-0.0713%9 May →
cache13–70.0237%8 May →
mirage10–13-0.0424%7 May →
inferno15–150.0424%7 May →
cache13–110.1230%5 May →
cache13–80.0224%5 May →
anubis13–100.0326%5 May →
mirage13–90.0433%5 May →
cache13–40.1224%1 May →
cache10–30.0718%1 May →
cache13–30.0822%30 Apr →
cache13–50.1325%30 Apr →
cache13–30.1116%30 Apr →
cache13–70.0622%29 Apr →
cache13–100.0326%26 Apr →
inferno13–90.0124%26 Apr →
dust213–60.0143%26 Apr →
mirage3–13-0.1215%26 Apr →
inferno2–13-0.0621%23 Apr →
inferno7–13-0.0314%23 Apr →
overpass13–20.1213%22 Apr →
inferno7–13-0.0942%22 Apr →
dust213–40.1019%22 Apr →
inferno13–70.0628%22 Apr →
mirage16–130.0021%21 Apr →
mirage13–40.0423%21 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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