Legionaer96

Legionaer96 — CS2 Stats

76561198025864187[U:1:65598459]Steam profile ↗✓ No bans

907Tracked matches45%Win rate2021Tracked since
2,754Hours in CS10Hrs last 2 wks
CSDB Rating3.5 LearningPositional Player
Premier CS Rating10,132Blue band · top ~54.2% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

−342Premier CS Rating · 10,474 → 10,132

Rating over time

Premier CS Rating: 10,132 -1,000 3 Sept – 31 Oct · 22 days played
10,13213,606peak 13,6063 Sept31 Oct
14,061Peak Premier in tracked matches
22Days played since 2026-09-03

Premier CS Rating

  • 3,474 below peak (13,606)
  • -1,911 over 30 days · declining
  • Next: Purple band at 15,000 — 4,868 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 rate29.9%42.0%44.4%14.5% short
Shot accuracy12.5%9.6%11.9%above
Kill/death ratio0.920.981.030.11 short
Match win rate42.6%43.8%45.2%2.7% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGLegionaer96PREMIER10,132 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning43
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLWWLWWLWLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −0.2pp headshot accuracy · +24ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 618ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 606ms

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 (+2.1 against its own average).

Aim4.1
Utility3.4
Positioning4.3
Opening Duels1.2
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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning4.3
Utility3.4
Mechanics3.2
Opening Duels2.4
Win Impact3.3

Composite 3.5/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time583ms+0ms
first ⅓ avg 583ms → last ⅓ avg 583ms
Headshot accuracy12.3%−6.5%
first ⅓ avg 18.8% → last ⅓ avg 12.3%

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 · 13–7 · dust2, 22 Sept →
39%Best headshot accuracy · 7–13 · dust2, 10 Sept →
359msFastest reaction time · 6–13 · dust2, 3 Sept →
13–2Biggest win · dust2, 6 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 69% over 13mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2913–1645%-0.01
mirageC176–1135%-0.03
nukeS139–469%0.00
infernoB115–645%0.00
ancientB105–550%0.01
cacheC83–538%-0.01
anubisC73–443%-0.03
office—31–233%0.05
overpass—11–0100%-0.04
italy—10–10%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,329Lifetime kills
0.92K/D
3,482Matches
42.6%Match win rate
29.9%Headshot %
12.5%Shot accuracy · Top 50% of Blue band
5,176MVPs
1,225Hours (in match)
1,712Bombs planted
363Bombs defused

Most-used weapons

AWP11,108
AK-476,742
P902,205
P2501,900
Negev1,786

Lifetime map wins

5,574assault
5,449office
5,028dust2
1,945inferno
1,285nuke
629lake
483italy
273train

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

Faceit stats

Combat

4Matches
0%Win rate
0.84Avg K/D
78.0ADR
48%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.9113.0
Overpass10%1.0019.0
Nuke10%0.538.0

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.

11.4%Headshot accuracy
29.8%Accuracy (enemy spotted)
32.9%Spray accuracy
64.6%Counter-strafing
9.2°Preaim
583msReaction time
42.0%T opening success
37.5%CT opening success
0.54Enemies flashed / flash
6.6%Flash assists
8.52HE damage / grenade
1.89Flashes / 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 11.4107% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.887 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.4586% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.038%31 Oct →
nuke13–11-0.049%28 Oct →
ancient13–90.0613%28 Oct →
dust29–13-0.0820%20 Oct →
ancient13–60.0113%20 Oct →
nuke13–90.0423%20 Oct →
cache10–13-0.0211%20 Oct →
nuke13–60.038%20 Oct →
mirage6–13-0.055%20 Oct →
inferno13–40.058%20 Oct →
mirage13–5-0.0412%20 Oct →
cache13–16-0.0312%13 Oct →
nuke13–30.065%13 Oct →
anubis3–13-0.0517%13 Oct →
mirage14–160.0111%13 Oct →
dust210–13-0.0014%12 Oct →
dust23–13-0.0914%12 Oct →
nuke10–13-0.037%12 Oct →
mirage11–13-0.096%12 Oct →
overpass9–2-0.0420%12 Oct →
dust26–13-0.0413%12 Oct →
ancient8–13-0.0913%12 Oct →
dust213–11-0.0417%12 Oct →
inferno13–60.0413%12 Oct →
cache13–90.0613%12 Oct →
dust215–15-0.0611%12 Oct →
inferno3–9-0.0836%12 Oct →
ancient6–13-0.0512%8 Oct →
dust213–80.1110%8 Oct →
cache13–11-0.0513%8 Oct →
mirage4–13-0.068%8 Oct →
office7–13-0.065%8 Oct →
nuke7–13-0.029%7 Oct →
dust28–13-0.0212%6 Oct →
mirage10–13-0.0516%6 Oct →
nuke13–100.0120%6 Oct →
anubis16–14-0.007%6 Oct →
dust213–2-0.0115%6 Oct →
ancient11–130.078%1 Oct →
nuke14–160.0112%30 Sept →
nuke13–9-0.0117%24 Sept →
cache6–13-0.0120%24 Sept →
dust26–13-0.0015%24 Sept →
dust213–80.058%24 Sept →
anubis1–13-0.067%23 Sept →
inferno3–13-0.058%23 Sept →
anubis13–7-0.0325%23 Sept →
cache3–130.0316%23 Sept →
italy2–130.0421%23 Sept →
dust213–70.1819%22 Sept →
inferno13–8-0.039%22 Sept →
anubis13–110.0112%22 Sept →
anubis5–13-0.0111%22 Sept →
mirage13–11-0.0510%22 Sept →
dust213–11-0.0215%21 Sept →
nuke16–14-0.0110%21 Sept →
anubis11–13-0.0513%17 Sept →
dust23–13-0.079%17 Sept →
inferno8–130.047%17 Sept →
mirage9–13-0.0414%16 Sept →
dust215–15-0.0124%16 Sept →
nuke4–90.0218%15 Sept →
ancient6–130.0321%15 Sept →
dust20–13-0.044%15 Sept →
cache13–110.0039%15 Sept →
inferno3–13-0.0615%10 Sept →
dust27–130.0539%10 Sept →
ancient13–100.0112%10 Sept →
nuke13–10-0.0219%10 Sept →
inferno13–9-0.0122%10 Sept →
dust24–13-0.0918%10 Sept →
mirage9–130.0119%10 Sept →
ancient13–100.0916%10 Sept →
inferno9–130.0522%9 Sept →
dust213–80.0026%9 Sept →
dust213–7-0.0330%9 Sept →
dust213–20.0431%9 Sept →
nuke13–7-0.0118%9 Sept →
mirage7–13-0.0919%8 Sept →
office13–30.1429%8 Sept →
office11–130.0612%8 Sept →
mirage12–16-0.1015%8 Sept →
dust213–9-0.0014%8 Sept →
dust23–13-0.0326%8 Sept →
dust213–90.0910%7 Sept →
inferno1–13-0.0521%7 Sept →
dust213–10-0.0418%7 Sept →
mirage13–50.0412%7 Sept →
ancient13–80.027%7 Sept →
dust28–13-0.068%7 Sept →
cache7–13-0.0511%3 Sept →
dust210–130.0119%3 Sept →
dust213–90.0418%3 Sept →
inferno13–90.1114%3 Sept →
ancient6–13-0.0120%3 Sept →
mirage1–13-0.0320%3 Sept →
mirage13–9-0.0019%3 Sept →
mirage13–90.0425%3 Sept →
mirage13–20.0635%3 Sept →
dust26–130.0316%3 Sept →

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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