absolutistii 2.0

absolutistii 2.0 — CS2 Stats

FI76561198859247504[U:1:898981776]Steam profile ↗✓ No bans

744Tracked matches47%Win rate2025Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating4,556Grey band · top ~80.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 4,556 → 4,556
+1Tracked matches · now 744
+3.3ppWin rate · 43.3% → 46.7%

Rating over time

Premier CS Rating: 4,556 +542 27 Aug – 25 Sept · 13 days played
4,0146,602peak 6,60227 Aug25 Sept
6,646Peak Premier in tracked matches
520Highest Faceit ELO seen on CSDB
15Days played since 2026-08-27

Premier CS Rating

  • 2,046 below peak (6,602)
  • +542 over 30 days · improving
  • Next: Light Blue band at 5,000 — 444 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGabsolutistii 2.0PREMIER4,556 · Grey bandPEAK ELO520csdb.gg/stats

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Performance scores

Aim42
Positioning46
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateWLLWLWLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.8pp headshot accuracy · −9ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 747ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 713ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 718ms

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 (+2.8 against its own average).

Aim4.2
Utility1.6
Positioning4.6
Opening Duels1.0
Clutch0.0

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

donk

Plays most like donk 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 691ms 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

Aim4.2
Positioning4.6
Utility1.6
Mechanics5.1
Opening Duels1.7
Win Impact3.9

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time688ms+34ms
first ⅓ avg 654ms → last ⅓ avg 688ms
Headshot accuracy10.0%−2.0%
first ⅓ avg 12.0% → last ⅓ avg 10.0%

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

0.15Best match rating · 13–6 · train, 31 Aug →
35%Best headshot accuracy · 7–13 · nuke, 29 Aug →
469msFastest reaction time · 3–13 · inferno, 17 Sept →
13–0Biggest win · mirage, 28 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 12nukeWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
nukeC176–1135%-0.00
ancientA169–756%-0.00
infernoS128–467%-0.00
cacheC125–742%-0.01
mirageA117–464%-0.00
anubisC104–640%-0.03
officeA53–260%-0.01
dust2—40–40%0.00
boulder—42–250%-0.01
overpass—32–167%-0.02
fachwerk—31–233%-0.04
vertigo—11–0100%-0.06
train—11–0100%0.15
shelter—11–0100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches
0%Win rate
0.84Avg K/D
67.3ADR
36%Headshot %

Clutches & streaks

20%1v1 clutch win
40%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%1.7521.0
Inferno10%0.7311.0
Vertigo10%0.296.0
Overpass10%0.336.0
Ancient10%0.8815.0
Nuke10%1.0715.0

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.

9.5%Headshot accuracy
33.9%Accuracy (enemy spotted)
34.1%Spray accuracy
72.9%Counter-strafing
9.0°Preaim
691msReaction time
34.3%T opening success
39.6%CT opening success
0.29Enemies flashed / flash
0.0%Flash assists
5.14HE damage / grenade
1.27Flashes / 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 9.5045% — 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 0.2908 — 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 34.3089% — below the 40% mark we flag

Spend your practice time on Nuke

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.0513%14 Oct →
anubis5–13-0.0913%19 Sept →
ancient2–13-0.066%19 Sept →
inferno13–11-0.0412%19 Sept →
ancient5–13-0.019%19 Sept →
inferno13–9-0.0513%18 Sept →
anubis14–16-0.014%18 Sept →
overpass13–9-0.0020%18 Sept →
dust27–13-0.0113%18 Sept →
cache6–130.0210%18 Sept →
cache10–13-0.056%18 Sept →
nuke13–40.0710%18 Sept →
nuke4–13-0.0412%18 Sept →
anubis7–13-0.067%18 Sept →
inferno13–10-0.047%18 Sept →
dust25–13-0.0012%18 Sept →
mirage13–30.0620%18 Sept →
ancient16–140.0111%17 Sept →
mirage11–13-0.052%17 Sept →
mirage11–13-0.037%17 Sept →
nuke10–130.019%17 Sept →
ancient5–13-0.0513%17 Sept →
boulder13–90.032%17 Sept →
fachwerk10–13-0.0513%17 Sept →
overpass13–6-0.018%17 Sept →
anubis13–5-0.019%17 Sept →
vertigo13–2-0.060%17 Sept →
nuke13–7-0.017%17 Sept →
inferno3–13-0.0910%17 Sept →
ancient13–10-0.0111%17 Sept →
anubis10–13-0.0715%16 Sept →
ancient11–13-0.0515%16 Sept →
boulder11–13-0.0113%15 Sept →
mirage13–7-0.042%15 Sept →
office4–130.0712%15 Sept →
mirage13–6-0.015%13 Sept →
nuke12–120.048%13 Sept →
mirage9–130.032%13 Sept →
dust23–130.079%13 Sept →
anubis15–15-0.0711%4 Sept →
cache13–160.007%4 Sept →
mirage13–6-0.026%4 Sept →
office13–9-0.067%2 Sept →
office5–0-0.000%2 Sept →
inferno8–13-0.057%1 Sept →
ancient13–9-0.055%1 Sept →
nuke7–13-0.0916%1 Sept →
cache3–13-0.0313%1 Sept →
nuke13–60.019%1 Sept →
inferno13–8-0.054%1 Sept →
ancient8–130.0315%1 Sept →
office12–12-0.0910%31 Aug →
train13–60.1510%31 Aug →
fachwerk12–12-0.0614%31 Aug →
cache13–11-0.027%31 Aug →
overpass8–13-0.0521%31 Aug →
boulder13–100.036%31 Aug →
nuke13–10-0.042%31 Aug →
cache7–13-0.068%31 Aug →
cache4–13-0.017%31 Aug →
anubis13–10-0.0313%30 Aug →
ancient15–15-0.0510%30 Aug →
anubis13–60.0114%30 Aug →
mirage13–5-0.0218%30 Aug →
inferno11–13-0.026%30 Aug →
anubis13–110.0714%30 Aug →
cache13–11-0.0111%30 Aug →
nuke13–11-0.0313%30 Aug →
nuke6–13-0.0112%30 Aug →
inferno13–100.0423%29 Aug →
nuke7–130.0835%29 Aug →
inferno6–130.0529%29 Aug →
ancient13–110.0421%29 Aug →
ancient13–60.1116%29 Aug →
inferno13–90.1214%29 Aug →
ancient13–70.0822%29 Aug →
mirage13–100.0012%29 Aug →
mirage3–13-0.017%29 Aug →
cache8–13-0.025%29 Aug →
nuke15–150.028%28 Aug →
cache13–4-0.015%28 Aug →
nuke13–90.026%28 Aug →
ancient13–8-0.0414%28 Aug →
cache13–8-0.027%28 Aug →
boulder12–12-0.0715%28 Aug →
nuke8–130.0515%28 Aug →
shelter13–8-0.016%28 Aug →
fachwerk13–40.004%28 Aug →
office13–50.0011%28 Aug →
cache13–80.0316%28 Aug →
mirage13–00.076%28 Aug →
ancient13–30.0516%28 Aug →
dust27–13-0.044%28 Aug →
nuke6–13-0.026%28 Aug →
anubis6–13-0.062%27 Aug →
ancient13–30.0213%27 Aug →
nuke13–16-0.0512%27 Aug →
inferno13–90.057%27 Aug →
ancient3–13-0.078%27 Aug →
nuke15–15-0.048%27 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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