Ackerman⭐

Ackerman⭐ — CS2 Stats

CX76561198872015909[U:1:911750181]Steam profile ↗✓ No bans

1,591Tracked matches43%Win rate2020Tracked since
3,255Hours in CS60Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−179Premier CS Rating · 15,179 → 15,000
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 23 days played since 26 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,000 -4,883 26 Aug20 Sept · 23 days played
15,00019,883peak 19,88326 Aug20 Sept
20,349Peak Premier in tracked matches
23Days played since 2026-08-26

Premier CS Rating

  • 4,883 below peak (19,883)
  • -4,883 over 30 days · declining
  • Next: Pink band at 20,000 5,000 to go
  • Reached: 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 Level 5 among CSDB-tracked players (n=12,417), 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 5 medianLevel 6 medianvs Level 6
Headshot rate47.7%43.8%44.8%above
Shot accuracy13.0%12.0%12.4%above
Kill/death ratio0.911.021.040.12 short
Match win rate44.4%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAckerman⭐FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,000 · Purple bandcsdb.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

Aim83
Positioning66
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46531Last 10046%Win rateLWLWWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +4.7pp headshot accuracy · −11ms 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 472ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 477ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 482ms

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 PlayerPositioning stands above the rest of this profile (+2.6 against its own average).

Aim8.3
Utility4.6
Positioning6.6
Opening Duels4.3
Clutch0.6

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 93% playstyle similarity

Most alike: positioning profile, 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

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

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

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

Aim8.3
Positioning6.6
Utility4.6
Mechanics5.8
Opening Duels6.2
Win Impact2.8

Composite 6.3/10 (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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time481ms−70ms
first ⅓ avg 550ms → last ⅓ avg 481ms
Headshot accuracy24.4%−0.4%
first ⅓ avg 24.7% → last ⅓ avg 24.4%

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

0.24Best match rating · 13–1 · ancient, 31 Aug
71%Best headshot accuracy · 0–13 · mirage, 11 Sept
336msFastest reaction time · 13–11 · inferno, 6 Sept
13–1Biggest win · mirage, 16 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
511In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 55% over 11infernoWeakest map · 47% over 32
MapGradePlayedRecordWin rateAvg rating
mirageB38191950%0.03
infernoB32151747%0.03
ancientA116555%0.03
dust2B105550%-0.01
nuke4040%-0.01
anubis31233%0.02
cache2020%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,178Lifetime kills
0.91K/D
4,888Matches
44.4%Match win rate
47.7%Headshot % · Top 50% of Level 5 players
13.0%Shot accuracy · Top 50% of Level 5 players
10,620MVPs
2,560Hours (in match)
4,564Bombs planted
1,194Bombs defused

Most-used weapons

AK-4731,364
AWP24,441
SSG 083,872
Knife2,678
XM10142,029

Lifetime map wins

14,778inferno
5,611dust2
1,043nuke
792vertigo
407train
50lake
35cbble
23office

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

Faceit stats

Combat

40Matches
52%Win rate
1.20Avg K/D
85.0ADR
46%Headshot %

Clutches & streaks

23%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis667%1.2118.0
Ancient633%1.1014.3
Mirage540%1.3515.0
Inferno450%0.7612.5
Dust2367%1.2216.3
Nuke2100%1.3822.0

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.

23.2%Headshot accuracy
39.3%Accuracy (enemy spotted)
36.2%Spray accuracy
76.2%Counter-strafing
11.2°Preaim
483msReaction time
55.0%T opening success
54.5%CT opening success
0.47Enemies flashed / flash
5.6%Flash assists
8.95HE damage / grenade
10.65Flashes / 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. 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 0.4741 — below the 0.5 mark we flag

    Grenade Lineups
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.

47% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–16-0.0419%20 Sept
mirage13–30.0815%19 Sept
mirage6–13-0.048%18 Sept
inferno13–100.0233%17 Sept
mirage13–60.1136%17 Sept
mirage12–160.0433%17 Sept
mirage13–30.0650%17 Sept
inferno6–13-0.0017%16 Sept
mirage13–10.1429%16 Sept
mirage12–16-0.0318%15 Sept
mirage13–70.0519%15 Sept
dust29–13-0.0130%15 Sept
mirage11–13-0.0224%14 Sept
mirage13–16-0.0015%14 Sept
ancient13–8-0.0724%14 Sept
dust25–13-0.0319%12 Sept
ancient13–90.0411%11 Sept
inferno9–13-0.0228%11 Sept
inferno13–50.0517%11 Sept
mirage10–130.0223%11 Sept
ancient8–13-0.0713%11 Sept
dust213–60.0728%11 Sept
mirage0–130.0071%11 Sept
mirage9–13-0.0314%10 Sept
inferno14–160.0410%10 Sept
mirage13–110.0519%9 Sept
cache4–13-0.0719%9 Sept
anubis13–50.0540%9 Sept
inferno13–50.0741%9 Sept
nuke11–13-0.0011%9 Sept
mirage11–13-0.0120%8 Sept
inferno13–40.1727%8 Sept
inferno9–13-0.0124%8 Sept
dust29–13-0.0114%8 Sept
mirage13–9-0.0123%8 Sept
mirage15–150.0717%7 Sept
mirage13–70.0017%7 Sept
dust213–90.0717%7 Sept
ancient6–13-0.084%7 Sept
inferno13–90.0422%7 Sept
mirage10–130.0729%7 Sept
inferno1–7-0.0210%7 Sept
mirage8–13-0.033%7 Sept
nuke5–13-0.033%7 Sept
inferno11–130.0712%7 Sept
mirage13–90.0716%7 Sept
mirage13–80.0524%7 Sept
anubis10–130.0012%6 Sept
inferno13–110.0828%6 Sept
nuke8–13-0.0021%6 Sept
dust213–8-0.0221%5 Sept
inferno13–80.0722%5 Sept
ancient13–50.0820%5 Sept
inferno10–13-0.0122%5 Sept
inferno5–13-0.0212%5 Sept
mirage13–8-0.0310%5 Sept
mirage11–130.0518%5 Sept
cache14–160.049%5 Sept
ancient9–130.0120%5 Sept
inferno4–13-0.0825%5 Sept
inferno13–90.0627%4 Sept
inferno10–130.1023%4 Sept
mirage1–130.0050%4 Sept
dust213–10.0224%4 Sept
inferno7–130.0414%4 Sept
inferno13–80.0431%4 Sept
ancient10–130.0520%4 Sept
mirage13–60.0850%4 Sept
inferno9–130.0214%4 Sept
inferno13–20.1540%4 Sept
inferno4–13-0.0822%2 Sept
inferno7–130.0228%1 Sept
dust213–9-0.0230%1 Sept
inferno11–13-0.0420%1 Sept
mirage13–100.0419%1 Sept
inferno13–11-0.0310%1 Sept
mirage13–6-0.0530%1 Sept
inferno13–6-0.0138%1 Sept
ancient13–90.0121%31 Aug
mirage13–6-0.0350%31 Aug
mirage13–20.0931%31 Aug
anubis11–130.0216%31 Aug
mirage13–90.0541%31 Aug
ancient13–110.0415%31 Aug
dust26–13-0.129%31 Aug
ancient13–10.2436%31 Aug
mirage13–80.0518%31 Aug
mirage13–110.0923%30 Aug
inferno13–7-0.0119%30 Aug
mirage10–130.0218%30 Aug
ancient11–130.059%29 Aug
inferno8–13-0.0316%29 Aug
mirage11–130.0229%29 Aug
inferno13–80.0821%29 Aug
inferno7–13-0.0220%27 Aug
mirage8–130.0232%27 Aug
mirage3–13-0.0025%27 Aug
mirage10–130.0528%26 Aug
nuke5–13-0.0218%26 Aug
inferno13–60.1122%26 Aug

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 →