Niffrus

Niffrus — CS2 Stats

US76561198009263093[U:1:48997365]Steam profile ↗✓ No bans

2,052Tracked matches53%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating25,000Top 25% of 204,412 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#20901 of 251668 tracked
FaceitLevel 6 · 1,413 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (8 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: 25,000 +2,447 18 Jun – 6 Oct · 16 days played
22,55325,101peak 25,10118 Jun6 Oct
Faceit ELO: 1,413 +0 29 Aug – 22 Sept · 4 observations
1,4131,413peak 1,41329 Aug22 Sept
25,101Peak Premier in tracked matches
1,413Highest Faceit ELO seen on CSDB
52Days played since 2026-06-18

Faceit ELO

  • At peak — 1,413
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 118 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-29
  • Level 6 first seen 2026-08-29

Premier CS Rating

  • 101 below peak (25,101)
  • +1,378 over 30 days · improving
  • Next: Gold band at 30,000 — 5,000 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNiffrusFACEITLevel 6 · 1,413 ELOSTANDINGTop 54.0% of rankedPREMIER25,000 · Red band30 DAYS0 ELOPEAK ELO1,413csdb.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

Aim70
Positioning65
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateWLLLWLLLWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −1.9pp headshot accuracy · +84ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 637ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 636ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 594ms

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 (+1.5 against its own average).

Aim7.0
Utility5.1
Positioning6.5
Opening Duels4.6
Clutch4.0

Effective flashes

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

donk

Plays most like donk 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 581ms 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

Aim7.0
Positioning6.5
Utility5.1
Mechanics7.5
Opening Duels5.3
Win Impact6.1

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time584ms−42ms
first ⅓ avg 626ms → last ⅓ avg 584ms
Headshot accuracy21.5%−2.1%
first ⅓ avg 23.6% → last ⅓ avg 21.5%

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 · 13–2 · anubis, 29 Sept →
51%Best headshot accuracy · 13–5 · dust2, 31 Jul →
391msFastest reaction time · 13–6 · ancient, 27 Sept →
13–0Biggest win · mirage, 16 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 92% over 12infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB2613–1350%-0.00
mirageA1811–761%-0.00
nukeC125–742%-0.01
anubisS1210–283%0.00
dust2S1211–192%0.00
cacheC94–544%-0.02
infernoD72–529%-0.02
vertigo—20–20%-0.01
boulder—10–10%-0.08
rush_001—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,062Matches
49%Win rate
1.06Avg K/D
75.6ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage15450%1.0915.7
Dust214852%1.0015.7
Ancient14449%1.0616.1
Inferno8148%1.0415.6
Nuke7139%0.9614.8
Anubis5648%0.8513.8
Overpass3247%0.9514.1
Vertigo2741%1.0115.8

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.

20.4%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.0%Spray accuracy
83.8%Counter-strafing
8.8°Preaim
581msReaction time
53.6%T opening success
48.9%CT opening success
0.72Enemies flashed / flash
6.7%Flash assists
7.33HE damage / grenade
5.78Flashes / match

Recommended for you

Spend your practice time on Inferno

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 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0613%8 Oct →
ancient8–13-0.0225%6 Oct →
cache6–130.0416%6 Oct →
boulder7–13-0.0815%5 Oct →
nuke13–40.0531%3 Oct →
ancient7–130.0017%3 Oct →
rush_0014–8-0.0143%1 Oct →
ancient1–13-0.0719%30 Sept →
anubis13–3-0.1014%30 Sept →
anubis13–20.2013%29 Sept →
ancient13–8-0.0743%29 Sept →
dust213–10-0.0133%28 Sept →
mirage9–13-0.0624%27 Sept →
cache10–13-0.078%27 Sept →
ancient13–60.0921%27 Sept →
ancient3–13-0.0710%27 Sept →
dust213–100.0113%26 Sept →
cache6–13-0.0618%24 Sept →
cache13–40.0126%23 Sept →
inferno6–13-0.0227%22 Sept →
mirage13–2-0.0327%21 Sept →
inferno9–130.0218%19 Sept →
ancient13–50.0527%18 Sept →
dust213–50.0424%18 Sept →
ancient9–13-0.0421%18 Sept →
mirage13–9-0.0230%18 Sept →
ancient10–13-0.0616%15 Sept →
mirage13–7-0.0423%14 Sept →
anubis10–13-0.048%14 Sept →
mirage13–11-0.0517%14 Sept →
dust213–3-0.0517%13 Sept →
anubis13–7-0.0230%10 Sept →
ancient16–120.0025%9 Sept →
anubis13–20.1232%9 Sept →
ancient13–8-0.0419%6 Sept →
nuke4–13-0.0748%6 Sept →
mirage1–13-0.0617%6 Sept →
ancient13–8-0.0420%5 Sept →
dust213–100.0617%4 Sept →
cache9–13-0.0515%4 Sept →
cache13–10-0.0443%3 Sept →
nuke13–70.0631%3 Sept →
anubis13–60.0116%3 Sept →
anubis13–9-0.0115%1 Sept →
inferno11–13-0.0511%30 Aug →
mirage9–130.0214%29 Aug →
nuke8–13-0.0615%25 Aug →
dust213–70.0113%25 Aug →
dust213–40.0315%21 Aug →
vertigo5–13-0.0331%18 Aug →
ancient13–50.0421%18 Aug →
anubis13–100.0024%12 Aug →
anubis13–70.0116%12 Aug →
nuke13–50.0635%11 Aug →
nuke13–9-0.0121%11 Aug →
ancient13–90.0221%11 Aug →
ancient11–130.0127%10 Aug →
vertigo9–130.0224%8 Aug →
ancient13–70.0527%8 Aug →
inferno13–5-0.0226%8 Aug →
nuke13–80.0020%6 Aug →
ancient6–13-0.0426%6 Aug →
nuke4–13-0.0729%6 Aug →
mirage13–80.1121%5 Aug →
mirage13–30.0619%5 Aug →
anubis8–13-0.0714%5 Aug →
mirage11–13-0.0619%5 Aug →
mirage13–4-0.0124%4 Aug →
anubis13–1-0.0524%4 Aug →
inferno8–13-0.0437%4 Aug →
mirage5–130.0020%3 Aug →
dust213–5-0.0319%3 Aug →
dust213–50.0251%31 Jul →
ancient13–70.0124%30 Jul →
anubis13–11-0.0232%30 Jul →
mirage13–10.0828%28 Jul →
ancient11–130.0528%28 Jul →
cache16–14-0.0423%27 Jul →
nuke7–13-0.0420%27 Jul →
dust213–50.0117%27 Jul →
nuke11–13-0.0326%27 Jul →
inferno13–90.0021%25 Jul →
mirage13–160.0224%25 Jul →
dust219–16-0.0523%25 Jul →
nuke11–13-0.0421%25 Jul →
ancient10–130.0127%21 Jul →
nuke9–130.0223%21 Jul →
cache13–60.0519%20 Jul →
cache14–16-0.0319%20 Jul →
ancient13–50.0319%20 Jul →
inferno9–13-0.0512%16 Jul →
mirage13–00.0819%16 Jul →
ancient13–110.0116%16 Jul →
ancient13–8-0.0222%14 Jul →
ancient5–13-0.0419%13 Jul →
mirage3–13-0.0819%11 Jul →
mirage13–10-0.0530%11 Jul →
dust27–13-0.0331%8 Jul →
ancient10–130.0519%18 Jun →
ancient3–130.0320%18 Jun →

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 →

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