Niggalas Cage

Niggalas Cage — CS2 Stats

IS76561197987900176[U:1:27634448]Steam profile ↗VAC banned

516Tracked matches47%Win rate2021Tracked since
712Hours in CS7Hrs last 2 wks
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating12,871Blue band · top ~39.7% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 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: 12,871 +2,251 2 Aug – 3 Nov · 33 days played
9,22415,104peak 15,1042 Aug3 Nov
15,104Peak Premier in tracked matches
32Days played since 2026-08-01

Premier CS Rating

  • 2,233 below peak (15,104)
  • +3,647 over 90 days
  • Next: Purple band at 15,000 — 2,129 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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 rate47.5%42.0%44.4%above
Shot accuracy4.8%9.6%11.9%7.1% short
Kill/death ratio1.150.981.03above
Match win rate56.1%43.8%45.2%above

This profile matches the typical Purple band player on 3 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.GGNiggalas CagePREMIER12,871 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning64
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLWWWWWLLLW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −8.3pp headshot accuracy · −64ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 567ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 607ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility5.7
Positioning6.4
Opening Duels5.8

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

jL

Plays most like jL 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 619ms 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

Aim7.2
Positioning6.4
Utility5.7
Mechanics6.6
Opening Duels6.0
Win Impact3.9

Composite 6.0/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time630ms+6ms
first ⅓ avg 623ms → last ⅓ avg 630ms
Headshot accuracy23.6%+0.9%
first ⅓ avg 22.7% → last ⅓ avg 23.6%

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

0.20Best match rating · 13–3 · dust2, 2 Aug →
54%Best headshot accuracy · 11–13 · ancient, 25 Oct →
406msFastest reaction time · 13–8 · anubis, 11 Sept →
13–0Biggest win · dust2, 11 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 81% over 16dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB178–947%0.01
cacheS1613–381%0.03
nukeC167–944%0.01
infernoB168–850%0.03
dust2D144–1029%0.01
anubisA117–464%0.02
ancientS107–370%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,029Lifetime kills
1.15K/D · Top 25% of Blue band
743Matches
56.1%Match win rate · Top 5% of Blue band
47.5%Headshot % · Top 25% of Blue band
4.8%Shot accuracy
2,019MVPs
312Hours (in match)
859Bombs planted
200Bombs defused

Most-used weapons

Lifetime map wins

1,488inferno
1,068dust2
788nuke
291train
112vertigo
91cbble
48italy
1lake

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.

23.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
39.5%Spray accuracy
79.6%Counter-strafing
10.8°Preaim
619msReaction time
60.2%T opening success
47.7%CT opening success
0.62Enemies flashed / flash
3.8%Flash assists
12.85HE damage / grenade
8.07Flashes / match

Recommended for you

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.

29% win rate across 14 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
dust210–13-0.0315%3 Nov →
cache13–10-0.0222%3 Nov →
nuke13–6-0.0111%1 Nov →
ancient13–70.0413%1 Nov →
inferno13–20.0440%1 Nov →
mirage13–30.0513%1 Nov →
cache8–130.0816%1 Nov →
dust26–13-0.0631%1 Nov →
inferno8–130.0325%1 Nov →
ancient13–80.0031%1 Nov →
cache13–110.0222%28 Oct →
mirage13–20.0331%28 Oct →
nuke11–130.0626%28 Oct →
dust26–130.0229%28 Oct →
ancient11–130.0854%25 Oct →
cache13–40.0326%24 Oct →
dust28–13-0.0533%24 Oct →
dust28–13-0.0125%23 Oct →
inferno7–130.0126%23 Oct →
nuke7–13-0.0430%15 Oct →
inferno8–130.0412%15 Oct →
cache13–60.0128%15 Oct →
mirage13–6-0.0614%23 Sept →
ancient11–130.0215%23 Sept →
mirage11–13-0.027%23 Sept →
dust26–13-0.0420%17 Sept →
cache13–10-0.0218%16 Sept →
dust213–00.1822%11 Sept →
anubis13–80.0325%11 Sept →
inferno6–13-0.0320%2 Sept →
nuke13–30.0225%2 Sept →
anubis13–90.0622%2 Sept →
ancient13–9-0.0035%29 Aug →
inferno13–30.0515%29 Aug →
nuke13–70.0341%24 Aug →
mirage13–00.1121%24 Aug →
dust21–70.000%23 Aug →
anubis13–30.1521%22 Aug →
mirage13–160.0425%22 Aug →
inferno13–100.0628%22 Aug →
cache13–40.1729%22 Aug →
nuke13–50.0923%22 Aug →
inferno13–30.1424%21 Aug →
anubis13–80.0918%21 Aug →
inferno6–130.028%18 Aug →
dust215–15-0.0322%18 Aug →
cache13–50.0321%17 Aug →
inferno13–70.0512%16 Aug →
mirage13–70.0820%16 Aug →
anubis13–8-0.0337%16 Aug →
nuke10–13-0.0441%15 Aug →
anubis13–10.0736%15 Aug →
mirage9–13-0.0518%15 Aug →
nuke13–50.1425%15 Aug →
nuke7–13-0.0118%15 Aug →
nuke9–130.0230%12 Aug →
cache13–80.0125%12 Aug →
anubis11–13-0.0522%11 Aug →
mirage13–110.0416%11 Aug →
nuke7–13-0.0530%11 Aug →
anubis9–13-0.0920%10 Aug →
mirage16–130.0317%9 Aug →
anubis0–13-0.107%9 Aug →
dust23–13-0.0141%9 Aug →
nuke10–13-0.0338%9 Aug →
anubis13–40.1318%9 Aug →
ancient13–8-0.0123%9 Aug →
ancient13–30.0033%9 Aug →
cache13–30.0920%8 Aug →
inferno13–7-0.0137%8 Aug →
cache13–0-0.0425%8 Aug →
mirage11–13-0.0121%8 Aug →
nuke3–13-0.1213%8 Aug →
cache13–10-0.0619%8 Aug →
inferno10–13-0.0322%8 Aug →
cache13–90.069%7 Aug →
nuke13–10.0944%7 Aug →
nuke13–40.0222%7 Aug →
dust213–80.0224%7 Aug →
mirage13–90.0013%7 Aug →
inferno13–80.0815%7 Aug →
ancient13–30.0818%6 Aug →
cache13–30.0519%6 Aug →
cache11–13-0.0612%6 Aug →
mirage14–160.0322%4 Aug →
dust213–50.0428%4 Aug →
ancient13–80.0118%4 Aug →
mirage6–13-0.0323%4 Aug →
dust28–13-0.0231%4 Aug →
mirage9–130.0210%3 Aug →
inferno8–13-0.0447%3 Aug →
mirage7–13-0.0223%3 Aug →
inferno13–110.0224%2 Aug →
anubis0–13-0.0910%2 Aug →
dust213–30.2024%2 Aug →
inferno8–130.0421%1 Aug →
mirage8–13-0.0235%1 Aug →
cache7–130.0832%1 Aug →
ancient8–130.0119%1 Aug →
nuke10–13-0.0619%1 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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