niggoras

niggoras — CS2 Stats

US76561199258293135[U:1:1298027407]Steam profile ↗✓ No bans

1,034Tracked matches71%Win rate2023Tracked since
CSDB Rating5.2 DevelopingClutch Specialist
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 1,034
+7.1ppWin rate · 64.3% → 71.4%
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. 42 days played since 10 May 2026. 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

42Days played since 2026-05-10

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim48
Positioning57
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY553213Last 10055%Win rateWTTWWWLWWT

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −3.0pp headshot accuracy · −19ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 302 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 449ms

Last 10

  • 613 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 503ms

Last 20

  • 1235 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 513ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.5 against its own average).

Aim4.8
Utility5.2
Positioning5.7
Opening Duels3.2
Clutch8.0

Effective flashesLimited utility dependenceReliable in 1v1s

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 73% 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

Reaction time. 554ms 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

Aim4.8
Positioning5.7
Utility5.2
Mechanics3.5
Opening Duels3.4
Win Impact10.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time535ms−69ms
first ⅓ avg 604ms → last ⅓ avg 535ms
Headshot accuracy13.3%−3.0%
first ⅓ avg 16.3% → last ⅓ avg 13.3%

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

0.38Best match rating · 9–0 · inferno, 10 Sept
44%Best headshot accuracy · 8–8 · inferno, 24 May
234msFastest reaction time · 5–0 · anubis, 13 Jun
13–1Biggest win · dust2, 16 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
72In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 63% over 16nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB46252154%-0.01
dust2A1610663%-0.02
mirageB137654%0.01
vertigoB63350%-0.00
nukeC52340%0.00
ancientA53260%-0.04
overpass42250%-0.02
anubis32167%0.06
cache110100%0.12
office1010%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches
57%Win rate
1.35Avg K/D
91.8ADR
36%Headshot %

Clutches & streaks

60%1v1 clutch win
53%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2683%1.7720.5
Mirage450%1.2817.3
Ancient450%1.1414.8
Anubis475%1.1116.8
Nuke250%1.7418.0
Inferno10%0.6511.0
Cache10%1.2922.0
Vertigo10%0.8416.0

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.

12.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
38.7%Spray accuracy
65.9%Counter-strafing
11.3°Preaim
554msReaction time
38.5%T opening success
48.4%CT opening success
0.71Enemies flashed / flash
5.8%Flash assists
11.35HE damage / grenade
4.40Flashes / 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 12.7792% — below the 15% mark we flag

    Aim Training
  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 38.5305% — below the 40% mark we flag

Spend your practice time on Nuke

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–70.0010%17 Sept
inferno8–8-0.0513%16 Sept
inferno8–80.0215%16 Sept
overpass13–9-0.015%16 Sept
dust213–1-0.016%16 Sept
nuke13–100.018%15 Sept
mirage7–13-0.0411%15 Sept
cache13–40.1213%15 Sept
ancient13–110.015%14 Sept
inferno8–80.0614%14 Sept
inferno4–9-0.085%14 Sept
inferno9–20.0918%14 Sept
dust213–90.0516%12 Sept
inferno13–11-0.0317%12 Sept
inferno7–1-0.0110%12 Sept
inferno8–8-0.039%12 Sept
inferno2–9-0.1517%11 Sept
inferno8–80.019%11 Sept
inferno9–30.0418%11 Sept
inferno9–7-0.1311%11 Sept
inferno9–10.2824%11 Sept
inferno13–7-0.0522%11 Sept
dust213–8-0.0116%10 Sept
inferno9–5-0.0822%10 Sept
inferno9–00.3818%10 Sept
vertigo10–130.0113%9 Sept
dust213–7-0.049%9 Sept
mirage12–120.0016%9 Sept
inferno8–8-0.038%8 Sept
dust213–6-0.039%7 Sept
mirage13–2-0.0219%7 Sept
inferno5–9-0.1217%7 Sept
nuke12–12-0.0217%7 Sept
inferno5–9-0.0927%7 Sept
inferno9–7-0.129%7 Sept
inferno9–00.1327%4 Sept
inferno8–8-0.099%3 Sept
inferno8–8-0.037%3 Sept
inferno5–9-0.135%3 Sept
inferno9–7-0.158%3 Sept
inferno9–00.2921%3 Sept
inferno9–50.0125%31 Aug
ancient8–13-0.059%31 Aug
ancient3–13-0.059%31 Aug
inferno6–9-0.0219%30 Aug
dust213–20.1611%29 Aug
inferno9–00.074%29 Aug
overpass2–13-0.0223%28 Aug
inferno13–40.0215%28 Aug
inferno9–60.0212%28 Aug
inferno5–9-0.1315%28 Aug
vertigo0–5-0.080%28 Aug
dust27–13-0.0722%28 Aug
inferno9–60.0020%27 Aug
mirage13–6-0.056%26 Aug
vertigo13–30.0912%26 Aug
inferno13–9-0.0111%25 Aug
mirage7–130.0314%24 Aug
inferno13–70.0921%16 Aug
inferno3–9-0.054%20 Jul
inferno6–130.0011%20 Jul
ancient13–8-0.0611%29 Jun
vertigo4–13-0.078%29 Jun
dust213–8-0.0413%27 Jun
mirage13–80.0016%27 Jun
office2–40.0233%26 Jun
nuke13–40.036%26 Jun
mirage8–13-0.0115%26 Jun
inferno13–7-0.0321%26 Jun
dust28–13-0.0215%13 Jun
mirage12–120.0120%13 Jun
anubis5–00.000%13 Jun
dust25–13-0.0513%13 Jun
dust23–130.0320%13 Jun
inferno5–13-0.0811%11 Jun
vertigo13–50.0026%8 Jun
dust213–9-0.0712%8 Jun
inferno7–9-0.039%6 Jun
nuke7–13-0.059%2 Jun
dust213–10-0.0810%1 Jun
anubis4–13-0.0416%1 Jun
vertigo13–20.038%31 May
dust212–12-0.0813%28 May
inferno9–6-0.0213%27 May
mirage13–11-0.0112%27 May
overpass13–80.0010%26 May
inferno8–8-0.1344%24 May
inferno9–6-0.0526%24 May
inferno9–70.025%24 May
mirage8–130.0014%24 May
anubis13–10.2016%24 May
mirage13–60.0812%23 May
inferno9–20.1021%22 May
nuke3–130.0513%22 May
overpass9–13-0.0724%20 May
mirage13–50.0819%20 May
dust28–13-0.0230%15 May
ancient13–5-0.066%13 May
mirage13–10.0131%13 May
inferno6–13-0.0023%10 May

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 →