Legionaer96

Legionaer96 — CS2 Stats

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

867Tracked matches41%Win rate2021Tracked since
2,719Hours in CS23Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
Premier CS Rating12,401Blue band · top ~42.2% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 12,401 +6,511 7 Aug – 30 Sept · 21 days played
5,89013,606peak 13,6067 Aug30 Sept
14,061Peak Premier in tracked matches
21Days played since 2026-08-07

Premier CS Rating

  • 1,205 below peak (13,606)
  • +5,881 over 30 days · improving
  • Next: Purple band at 15,000 — 2,599 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%41.9%44.3%14.4% short
Shot accuracy12.6%9.6%11.9%above
Kill/death ratio0.930.981.030.11 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.GGLegionaer96PREMIER12,401 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning40
Utility22

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLWLLWLLWLL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +3.3pp headshot accuracy · +14ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 608ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 574ms

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 (+2.5 against its own average).

Aim5.4
Utility2.2
Positioning4.0
Opening Duels0.0
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

sh1ro

Plays most like sh1ro 92% 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

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

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.4
Positioning4.0
Utility2.2
Mechanics3.5
Opening Duels0.8
Win Impact2.1

Composite 3.4/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time584ms−5ms
first ⅓ avg 589ms → last ⅓ avg 584ms
Headshot accuracy16.0%−0.7%
first ⅓ avg 16.7% → last ⅓ avg 16.0%

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

0.18Best match rating · 13–7 · dust2, 22 Sept →
46%Best headshot accuracy · 13–2 · nuke, 1 Sept →
359msFastest reaction time · 6–13 · dust2, 3 Sept →
13–0Biggest win · ancient, 1 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 71% over 7cacheWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3316–1748%-0.00
mirageB158–753%-0.02
cacheD123–925%-0.02
infernoA127–558%-0.00
anubisB105–550%-0.02
nukeA85–363%0.01
ancientS75–271%0.02
office—21–150%0.10
italy—10–10%0.04

Across the last 100 tracked matches.

Lifetime stats

50,725Lifetime kills
0.93K/D
3,437Matches
42.6%Match win rate
29.9%Headshot %
12.6%Shot accuracy · Top 50% of Blue band
5,109MVPs
1,207Hours (in match)
1,659Bombs planted
357Bombs defused

Most-used weapons

AWP10,955
AK-476,687
P902,186
P2501,891
Negev1,737

Lifetime map wins

5,574assault
5,443office
4,934dust2
1,903inferno
1,203nuke
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.

15.9%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.7%Spray accuracy
65.8%Counter-strafing
9.5°Preaim
589msReaction time
30.9%T opening success
35.4%CT opening success
0.31Enemies flashed / flash
2.7%Flash assists
8.44HE damage / grenade
2.48Flashes / 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 0.312 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 30.8752% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
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 →
dust29–130.0223%2 Sept →
anubis16–140.0020%2 Sept →
anubis13–8-0.0511%2 Sept →
cache8–13-0.0620%2 Sept →
dust215–150.0020%2 Sept →
dust213–11-0.0317%1 Sept →
dust213–50.0411%1 Sept →
anubis13–90.017%1 Sept →
inferno13–8-0.0317%1 Sept →
ancient13–0-0.0513%1 Sept →
nuke6–130.0218%1 Sept →
nuke13–20.0546%1 Sept →
mirage13–9-0.0316%1 Sept →
dust213–11-0.0113%1 Sept →
cache13–70.0110%1 Sept →
dust22–13-0.1010%31 Aug →
cache13–10-0.0630%31 Aug →
dust29–130.0116%29 Aug →
cache7–13-0.0316%29 Aug →
dust210–13-0.0213%29 Aug →
mirage5–13-0.1613%29 Aug →
dust216–14-0.0128%29 Aug →
inferno13–11-0.1215%29 Aug →
mirage10–130.0419%29 Aug →
ancient13–30.0713%14 Aug →
inferno13–50.1314%14 Aug →
dust213–40.0121%14 Aug →
mirage13–100.0114%13 Aug →
dust23–13-0.0613%13 Aug →
cache5–13-0.0113%10 Aug →
dust28–13-0.0619%10 Aug →
anubis8–130.0312%10 Aug →
dust211–50.0822%10 Aug →
anubis6–13-0.0214%10 Aug →
mirage13–90.0515%10 Aug →
cache3–13-0.0011%10 Aug →
inferno13–10-0.0019%10 Aug →
cache8–13-0.0316%7 Aug →
cache8–13-0.0323%7 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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