¤¤¤¤LeGenDarY¤¤¤¤

¤¤¤¤LeGenDarY¤¤¤¤ — CS2 Stats

76561199798223957[U:1:1837958229]Steam profile ↗✓ No bans

1,406Tracked matches46%Win rate2024Tracked since
1,788Hours in CS2Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating14,654Blue band · top ~30.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−231Premier CS Rating · 14,885 → 14,654

Rating over time

Premier CS Rating: 14,654 -1,271 15 Aug – 28 Oct · 38 days played
13,10117,133peak 17,13315 Aug28 Oct
17,186Peak Premier in tracked matches
38Days played since 2026-08-15

Premier CS Rating

  • 2,479 below peak (17,133)
  • +1,553 over 30 days · improving
  • Next: Purple band at 15,000 — 346 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches4219+23
Win rate38%32%+7pp
K/D1.120.94+0.17
Headshot %42%41%+1pp

Measured 23 Sep 2026 → 28 Oct 2026; previous 3 Sep 2026 → 23 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate38.9%42.0%44.4%5.4% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.100.981.03above
Match win rate45.0%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GG¤¤¤¤LeGenDarY¤¤¤¤PREMIER14,654 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning68
Utility53

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLLTWLWWLLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · +27ms reaction

Win rate down 30pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 553ms

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 (+1.3 against its own average).

Aim6.3
Utility5.3
Positioning6.8
Opening Duels4.3

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

m0NESY

Plays most like m0NESY 79% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 62% 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

Aim6.3
Positioning6.8
Utility5.3
Mechanics2.7
Opening Duels6.9
Win Impact3.8

Composite 5.2/10 (Developing), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time545ms−16ms
first ⅓ avg 562ms → last ⅓ avg 545ms
Headshot accuracy15.2%−2.3%
first ⅓ avg 17.5% → last ⅓ avg 15.2%

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

0.16Best match rating · 13–10 · dust2, 1 Oct →
38%Best headshot accuracy · 13–10 · nuke, 31 Aug →
398msFastest reaction time · 7–13 · anubis, 1 Oct →
13–2Biggest win · nuke, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 59% over 27dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA2716–1159%0.02
ancientD217–1433%0.00
infernoC198–1142%0.00
anubisB137–654%0.00
dust2D71–614%0.00
cacheD71–614%-0.03
mirageD61–517%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,080Lifetime kills
1.10K/D · Top 25% of Blue band
1,633Matches
45.0%Match win rate · Top 50% of Blue band
38.9%Headshot %
0.0%Shot accuracy
3,878MVPs
705Hours (in match)
2,390Bombs planted
452Bombs defused

Most-used weapons

AK-479,060
AWP4,250
MAC-101,489
P2501,381
HE Grenade336
MP7334

Lifetime map wins

4,715inferno
3,726nuke
622train
524dust2
96vertigo
16office
2ar_shoots
1ar_baggage

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.

14.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
36.4%Spray accuracy
62.2%Counter-strafing
8.8°Preaim
541msReaction time
60.9%T opening success
54.0%CT opening success
0.54Enemies flashed / flash
2.6%Flash assists
8.85HE damage / grenade
11.58Flashes / 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 14.5342% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0326%28 Oct →
mirage2–13-0.0525%26 Oct →
nuke15–150.0912%14 Oct →
nuke13–20.0416%10 Oct →
cache11–13-0.0911%10 Oct →
inferno13–6-0.004%10 Oct →
inferno13–70.0412%10 Oct →
ancient10–130.019%7 Oct →
mirage10–130.0421%6 Oct →
inferno4–13-0.0218%6 Oct →
inferno16–12-0.0410%6 Oct →
dust210–13-0.0619%6 Oct →
nuke13–50.0419%5 Oct →
mirage9–13-0.036%4 Oct →
anubis13–110.0613%3 Oct →
ancient15–15-0.0312%2 Oct →
ancient13–50.0515%2 Oct →
mirage13–10-0.0419%1 Oct →
nuke13–2-0.0410%1 Oct →
inferno9–130.0024%1 Oct →
nuke12–16-0.0313%1 Oct →
dust213–100.1610%1 Oct →
anubis7–130.016%1 Oct →
anubis13–2-0.0027%30 Sept →
nuke13–90.0118%30 Sept →
nuke14–160.0215%28 Sept →
dust29–13-0.0313%28 Sept →
nuke9–13-0.057%28 Sept →
inferno9–13-0.0516%26 Sept →
nuke13–80.1318%25 Sept →
nuke14–160.0120%25 Sept →
dust211–13-0.0122%25 Sept →
dust27–13-0.0314%25 Sept →
anubis13–70.0324%25 Sept →
cache7–130.0021%25 Sept →
mirage3–13-0.0310%23 Sept →
ancient8–13-0.0220%22 Sept →
ancient10–130.0014%22 Sept →
inferno12–16-0.0633%21 Sept →
ancient9–13-0.0015%21 Sept →
ancient15–150.0419%17 Sept →
ancient13–70.0020%17 Sept →
ancient2–13-0.0616%17 Sept →
ancient13–9-0.029%17 Sept →
anubis16–130.0119%10 Sept →
ancient3–13-0.0219%10 Sept →
ancient9–13-0.0327%9 Sept →
inferno16–140.0413%7 Sept →
nuke7–6-0.0615%3 Sept →
inferno10–130.0422%2 Sept →
nuke13–60.0726%2 Sept →
nuke6–130.0716%2 Sept →
nuke5–130.0219%1 Sept →
inferno1–13-0.028%1 Sept →
ancient9–130.0323%31 Aug →
inferno13–30.0918%31 Aug →
nuke13–10-0.0238%31 Aug →
inferno5–13-0.0116%31 Aug →
nuke11–13-0.0212%31 Aug →
nuke13–10-0.0411%28 Aug →
anubis6–13-0.0512%28 Aug →
inferno7–13-0.0123%27 Aug →
nuke13–110.0525%27 Aug →
ancient16–120.0221%27 Aug →
cache16–14-0.0218%27 Aug →
nuke13–110.0115%27 Aug →
ancient13–7-0.0015%26 Aug →
nuke10–130.0111%26 Aug →
mirage4–13-0.0812%26 Aug →
anubis13–6-0.0229%26 Aug →
inferno7–130.0317%26 Aug →
cache11–130.0226%24 Aug →
inferno16–120.0412%23 Aug →
inferno13–90.0113%23 Aug →
ancient13–80.0827%23 Aug →
nuke13–60.109%22 Aug →
anubis8–13-0.0326%21 Aug →
inferno13–110.0416%21 Aug →
nuke16–14-0.0316%21 Aug →
cache10–13-0.0222%21 Aug →
ancient13–8-0.0216%20 Aug →
anubis3–13-0.0024%20 Aug →
nuke13–50.0116%20 Aug →
ancient10–13-0.0316%20 Aug →
nuke13–70.0314%19 Aug →
inferno11–13-0.069%19 Aug →
anubis13–70.0218%19 Aug →
ancient9–13-0.017%19 Aug →
dust26–13-0.0417%17 Aug →
ancient5–130.0215%17 Aug →
inferno11–13-0.0317%17 Aug →
cache4–13-0.0428%17 Aug →
ancient11–130.0123%17 Aug →
nuke11–130.0214%17 Aug →
anubis5–13-0.0517%16 Aug →
anubis13–90.0719%16 Aug →
nuke10–13-0.0613%16 Aug →
nuke13–40.0815%15 Aug →
cache2–13-0.0622%15 Aug →
anubis8–13-0.0124%15 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.