maxxxxi

maxxxxi — CS2 Stats

FI76561198850785127[U:1:890519399]Steam profile ↗✓ No bans

1,786Tracked matches48%Win rate2020Tracked since
2,310Hours in CS
CSDB Rating3.3 LearningSupport
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver Elite Master
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.

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

Rating over time

Premier CS Rating: 10,000 +4,402 29 Aug – 1 Nov · 23 days played
4,86110,919peak 10,91929 Aug1 Nov
11,118Peak Premier in tracked matches
23Days played since 2026-08-29

Premier CS Rating

  • 919 below peak (10,919)
  • +4,197 over 30 days · improving
  • Next: Purple band at 15,000 — 5,000 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 Level 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate32.1%40.9%41.3%9.3% short
Shot accuracy14.0%14.2%12.7%above
Kill/death ratio1.020.950.95above
Match win rate45.3%42.1%42.6%above

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmaxxxxiFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER10,000 · Blue 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

Aim25
Positioning34
Utility48

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLWWLLLWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.7pp headshot accuracy · −2ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 669ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 687ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 688ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim2.5
Utility4.8
Positioning3.4
Opening Duels0.0

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 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 662ms 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

Aim2.5
Positioning3.4
Utility4.8
Mechanics5.7
Opening Duels0.5
Win Impact4.4

Composite 3.3/10 (Learning), 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 time650ms−44ms
first ⅓ avg 693ms → last ⅓ avg 650ms
Headshot accuracy8.9%+0.5%
first ⅓ avg 8.4% → last ⅓ avg 8.9%

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

0.22Best match rating · 9–3 · nuke, 12 Oct →
22%Best headshot accuracy · 1–13 · anubis, 11 Sept →
438msFastest reaction time · 13–3 · nuke, 13 Sept →
13–2Biggest win · mirage, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
13–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 69% over 13anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB3216–1650%-0.02
ancientC188–1044%-0.01
anubisD134–931%-0.03
infernoS139–469%0.00
mirageC114–736%-0.00
dust2C73–443%0.01
cacheD62–433%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,955Lifetime kills
1.02K/D · Top 50% of Level 1 players
9,124Matches
45.3%Match win rate · Top 25% of Level 1 players
32.1%Headshot %
14.0%Shot accuracy
15,243MVPs
2,310Hours (in match)
3,472Bombs planted
2,288Bombs defused

Most-used weapons

AK-4736,122
AWP7,965
P2504,850
P904,372
SG 5533,251

Lifetime map wins

10,552nuke
10,051inferno
8,129dust2
4,514vertigo
2,776train
35cbble
6lake
4office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.2%Headshot accuracy
30.4%Accuracy (enemy spotted)
31.6%Spray accuracy
75.5%Counter-strafing
13.9°Preaim
662msReaction time
34.3%T opening success
26.5%CT opening success
0.40Enemies flashed / flash
4.7%Flash assists
6.49HE damage / grenade
8.88Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.8843° — above the 12° mark we flag

    Aim Training →
  2. 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 9.1706% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4021 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.007%1 Nov →
mirage7–130.0218%1 Nov →
inferno13–5-0.0020%1 Nov →
cache13–110.019%1 Nov →
nuke7–13-0.039%31 Oct →
nuke6–13-0.0810%31 Oct →
dust28–13-0.0411%31 Oct →
nuke13–90.075%26 Oct →
nuke8–13-0.118%24 Oct →
cache5–13-0.059%24 Oct →
inferno12–16-0.098%23 Oct →
inferno13–10-0.095%23 Oct →
mirage13–5-0.056%23 Oct →
ancient13–3-0.048%23 Oct →
inferno10–130.0610%18 Oct →
mirage7–13-0.058%17 Oct →
ancient1–13-0.083%17 Oct →
inferno13–100.039%17 Oct →
dust23–13-0.027%17 Oct →
ancient13–10-0.0213%17 Oct →
cache9–13-0.028%17 Oct →
ancient8–13-0.007%17 Oct →
anubis13–8-0.039%17 Oct →
dust213–110.0315%17 Oct →
anubis13–30.0210%17 Oct →
mirage13–20.0512%17 Oct →
cache15–15-0.016%15 Oct →
nuke1–13-0.069%15 Oct →
cache16–12-0.039%15 Oct →
ancient13–70.148%15 Oct →
inferno13–5-0.029%15 Oct →
nuke3–9-0.070%15 Oct →
nuke1–9-0.178%15 Oct →
mirage13–110.003%14 Oct →
ancient9–130.047%14 Oct →
nuke13–50.078%14 Oct →
inferno13–80.0410%12 Oct →
anubis13–11-0.014%12 Oct →
nuke13–80.0417%12 Oct →
nuke9–30.2216%12 Oct →
nuke9–40.098%12 Oct →
mirage6–130.027%11 Oct →
mirage13–110.034%11 Oct →
inferno13–100.097%11 Oct →
ancient13–90.0812%11 Oct →
ancient13–8-0.033%11 Oct →
nuke13–6-0.056%11 Oct →
anubis6–13-0.100%10 Oct →
nuke10–130.027%10 Oct →
ancient13–7-0.067%10 Oct →
dust215–150.0317%10 Oct →
nuke5–13-0.0511%10 Oct →
dust213–30.1218%10 Oct →
nuke9–13-0.0211%5 Oct →
nuke13–110.0619%4 Oct →
mirage10–13-0.065%4 Oct →
ancient13–110.0212%4 Oct →
nuke13–30.014%4 Oct →
cache5–13-0.0111%27 Sept →
nuke13–6-0.0120%27 Sept →
nuke13–110.0310%27 Sept →
mirage2–130.006%27 Sept →
ancient4–13-0.054%26 Sept →
inferno13–9-0.025%26 Sept →
inferno7–13-0.0017%26 Sept →
ancient14–160.047%26 Sept →
mirage6–130.025%26 Sept →
dust27–13-0.0316%26 Sept →
nuke8–8-0.027%26 Sept →
nuke2–9-0.086%26 Sept →
ancient13–11-0.0220%26 Sept →
mirage7–13-0.007%26 Sept →
nuke13–11-0.024%26 Sept →
nuke9–7-0.070%20 Sept →
nuke7–9-0.059%20 Sept →
dust213–11-0.0410%19 Sept →
inferno13–110.039%19 Sept →
ancient12–16-0.0211%19 Sept →
anubis5–13-0.0412%19 Sept →
nuke9–6-0.006%19 Sept →
nuke9–30.092%19 Sept →
nuke7–9-0.045%19 Sept →
nuke7–9-0.0712%19 Sept →
nuke3–9-0.194%19 Sept →
anubis8–13-0.080%18 Sept →
ancient9–13-0.076%18 Sept →
nuke5–9-0.0419%18 Sept →
nuke13–90.0313%13 Sept →
nuke13–3-0.068%13 Sept →
anubis13–10-0.013%12 Sept →
inferno7–130.005%12 Sept →
anubis6–13-0.047%12 Sept →
anubis7–13-0.037%12 Sept →
ancient7–13-0.038%12 Sept →
anubis14–16-0.056%11 Sept →
ancient9–13-0.038%11 Sept →
inferno13–100.007%11 Sept →
anubis1–13-0.0022%11 Sept →
anubis4–13-0.0413%29 Aug →
ancient10–13-0.005%29 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.