Nigvar

Nigvar — CS2 Stats

NO76561197964057306[U:1:3791578]Steam profile ↗✓ No bans

461Tracked matches38%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating10,843Blue band · top ~50.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (10 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 50 days played since 6 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,843 +1,858 16 Dec13 Sept · 28 days played
8,67914,606peak 14,60616 Dec13 Sept
14,838Peak Premier in tracked matches
1,147Highest Faceit ELO seen on CSDB
50Days played since 2025-12-06

Faceit ELO

  • At peak — 1,147
  • Next: Level 6 at 1,201 54 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 3,763 below peak (14,606)
  • -1,155 over 30 days · declining
  • -2,447 over 90 days
  • Next: Purple band at 15,000 4,157 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.

Share this profile

CSDB.GGNigvarPREMIER10,843 · Blue bandPEAK ELO1,147csdb.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

Aim54
Positioning55
Utility52

0–100 skill scores via Leetify.

Recent form

COLD47521Last 10047%Win rateWLLLLLWLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +2.9pp headshot accuracy · −0ms 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 569ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim5.4
Utility5.2
Positioning5.5
Opening Duels3.7
Clutch2.2

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 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 587ms 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

Aim5.4
Positioning5.5
Utility5.2
Mechanics5.9
Opening Duels3.9
Win Impact1.0

Composite 4.6/10 (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 rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time592ms−65ms
first ⅓ avg 657ms → last ⅓ avg 592ms
Headshot accuracy18.3%−0.8%
first ⅓ avg 19.2% → last ⅓ avg 18.3%

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

0.13Best match rating · 13–1 · dust2, 9 Jun
41%Best headshot accuracy · 13–11 · dust2, 21 Jun
406msFastest reaction time · 7–13 · ancient, 16 Aug
13–0Biggest win · vertigo, 22 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
1111In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 56% over 18anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA1810856%-0.02
infernoA1810856%0.01
nukeC167944%0.00
dust2C146843%-0.01
ancientB105550%-0.03
anubisD103730%-0.02
overpassB63350%-0.03
vertigo32167%-0.03
cache2020%-0.02
train1010%-0.03
cache_b110100%-0.01
rooftop1010%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

839Matches
50%Win rate
0.82Avg K/D
70.8ADR
47%Headshot %

Clutches & streaks

31%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage10744%0.9612.7
Dust28551%0.8813.0
Anubis5553%0.7711.9
Ancient4953%0.8614.0
Nuke4058%0.8612.7
Inferno3543%0.8513.3
Overpass2962%1.0012.3
Train2748%1.1014.4

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.

18.3%Headshot accuracy
28.5%Accuracy (enemy spotted)
29.0%Spray accuracy
76.7%Counter-strafing
9.3°Preaim
587msReaction time
52.5%T opening success
38.5%CT opening success
0.62Enemies flashed / flash
4.2%Flash assists
7.37HE damage / grenade
6.61Flashes / 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

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

    CT opening duels 38.536% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0519%19 Sept
nuke7–130.0112%18 Sept
inferno6–13-0.0117%17 Sept
inferno9–130.1127%13 Sept
ancient9–13-0.0115%6 Sept
inferno11–130.0123%5 Sept
dust213–11-0.0416%30 Aug
nuke10–13-0.0232%27 Aug
mirage5–13-0.0516%25 Aug
mirage5–13-0.089%21 Aug
dust213–10-0.0313%21 Aug
inferno16–140.0412%20 Aug
ancient12–16-0.0923%17 Aug
nuke10–13-0.0320%17 Aug
ancient7–13-0.105%16 Aug
nuke9–130.0116%16 Aug
mirage13–10-0.0215%16 Aug
anubis13–6-0.0413%16 Aug
dust28–13-0.0318%16 Aug
inferno4–13-0.0623%16 Aug
cache3–13-0.0336%14 Aug
inferno13–10-0.0113%14 Aug
nuke13–7-0.0216%14 Aug
nuke9–13-0.0214%11 Aug
mirage13–8-0.0013%4 Aug
dust215–150.0121%2 Aug
mirage13–9-0.0529%2 Aug
cache10–13-0.0113%28 Jul
mirage13–60.0436%28 Jul
anubis8–13-0.0320%26 Jul
inferno13–110.0213%26 Jul
train7–13-0.0321%22 Jun
vertigo13–00.0020%22 Jun
inferno16–120.0228%21 Jun
nuke11–130.0314%21 Jun
mirage13–11-0.0316%21 Jun
dust213–11-0.0541%21 Jun
inferno5–130.069%20 Jun
nuke7–130.0325%20 Jun
inferno3–10-0.0730%12 Jun
ancient13–70.0024%11 Jun
nuke13–00.085%9 Jun
dust213–10.1324%9 Jun
ancient13–10-0.0411%9 Jun
anubis13–9-0.0133%5 Jun
inferno13–11-0.0416%5 Jun
anubis8–13-0.0414%28 May
inferno5–13-0.0313%22 May
mirage13–9-0.0214%21 May
vertigo16–140.0025%10 May
vertigo12–16-0.0823%10 May
cache_b13–6-0.0120%26 Apr
anubis9–13-0.0816%26 Apr
overpass4–13-0.0710%26 Apr
overpass7–13-0.0514%26 Apr
ancient10–13-0.058%26 Apr
nuke13–16-0.0210%21 Apr
inferno13–100.0623%21 Apr
nuke11–13-0.0532%21 Apr
mirage11–13-0.0324%18 Apr
inferno13–60.0617%18 Apr
ancient13–50.0615%18 Apr
inferno9–13-0.0315%18 Apr
mirage16–120.0527%17 Apr
nuke13–60.0516%16 Apr
dust26–13-0.097%12 Apr
ancient16–14-0.0419%12 Apr
mirage13–10-0.0432%11 Apr
nuke13–8-0.0721%11 Apr
dust213–11-0.0228%11 Apr
mirage7–13-0.0420%9 Apr
overpass13–30.0024%8 Apr
ancient13–9-0.0020%26 Mar
anubis13–10-0.0326%26 Mar
nuke13–8-0.0114%26 Mar
dust214–160.0129%26 Mar
inferno16–13-0.0415%27 Feb
mirage13–11-0.0427%27 Feb
anubis11–13-0.0216%27 Feb
dust29–130.0523%27 Feb
inferno13–30.0713%22 Feb
overpass13–10-0.0322%22 Feb
dust29–130.0331%22 Feb
anubis8–130.0520%22 Feb
anubis11–13-0.0320%14 Feb
mirage7–13-0.1015%11 Feb
nuke13–8-0.0120%11 Feb
anubis14–16-0.0313%11 Feb
overpass7–13-0.0627%11 Feb
inferno13–10-0.0712%9 Feb
mirage7–13-0.0413%9 Feb
dust22–12-0.0515%1 Feb
mirage6–13-0.076%1 Feb
mirage2–40.1123%1 Feb
dust213–80.0124%15 Jan
ancient11–130.0217%11 Jan
overpass13–40.016%16 Dec
nuke13–90.0413%16 Dec
dust25–13-0.074%16 Dec
rooftop7–9-0.0623%6 Dec

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →