Streiffi

Streiffi — CS2 Stats

76561197995643751[U:1:35378023]Steam profile ↗✓ No bans

1,169Tracked matches70%Win rate2020Tracked since
CSDB Rating6.9 SolidSupport
Premier CS Rating20,816Top 50% of 204,793 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)
CSDB Leaderboard#69724 of 252070 tracked
FaceitLevel 8 · 1,500 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+368Premier CS Rating · 20,448 → 20,816

Rating over time

Premier CS Rating: 20,816 +1,775 23 May – 15 Oct · 17 days played
17,34720,816peak 20,81623 May15 Oct
20,930Peak Premier in tracked matches
1,500Highest Faceit ELO seen on CSDB
39Days played since 2026-05-14

Faceit ELO

  • At peak — 1,500
  • Next: Level 8 at 1,531 — 31 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-13
  • Level 6 first seen 2026-09-13

Premier CS Rating

  • At peak — 20,816
  • +1,400 over 30 days · improving
  • Next: Red band at 25,000 — 4,184 to go
  • Reached: Pink band · 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. 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.GGStreiffiFACEITLevel 8 · 1,500 ELOSTANDINGTop 31.2% of rankedPREMIER20,816 · Pink bandPEAK ELO1,500csdb.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

Aim83
Positioning51
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLWLWWLWWWL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +2.6pp headshot accuracy · −71ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 496ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 552ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 587ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim8.3
Utility5.4
Positioning5.1
Opening Duels3.7
Clutch3.0

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

NiKo

Plays most like NiKo 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

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim8.3
Positioning5.1
Utility5.4
Mechanics8.2
Opening Duels2.2
Win Impact10.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time578ms−52ms
first ⅓ avg 630ms → last ⅓ avg 578ms
Headshot accuracy21.1%−2.8%
first ⅓ avg 23.9% → last ⅓ avg 21.1%

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 · 13–6 · dust2, 30 Jul →
44%Best headshot accuracy · 13–0 · dust2, 13 Oct →
406msFastest reaction time · 5–13 · ancient, 27 Aug →
13–0Biggest win · dust2, 13 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 80% over 5ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2115–671%0.01
nukeB2010–1050%-0.01
dust2B178–947%0.02
cacheB136–746%0.00
anubisA138–562%0.01
ancientC83–538%-0.02
infernoS54–180%0.02
overpass—10–10%-0.02
train—10–10%0.01
vertigo—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,261Matches
51%Win rate
1.15Avg K/D
79.5ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6954%1.2017.4
Anubis4363%1.0315.3
Dust24250%1.1016.3
Nuke4052%1.0816.4
Ancient2857%1.0014.0
Vertigo1436%0.9616.4
Inferno1040%0.9614.7
Cache933%0.9114.7

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.

20.8%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.9%Spray accuracy
86.9%Counter-strafing
8.8°Preaim
576msReaction time
30.0%T opening success
47.5%CT opening success
0.67Enemies flashed / flash
7.8%Flash assists
7.07HE damage / grenade
5.55Flashes / 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

    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 29.9742% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0123%15 Oct →
mirage13–60.0125%15 Oct →
cache13–160.0319%15 Oct →
anubis13–20.0736%15 Oct →
mirage16–12-0.0127%15 Oct →
nuke20–22-0.0117%14 Oct →
nuke13–9-0.0034%14 Oct →
mirage13–6-0.0319%14 Oct →
anubis13–9-0.0315%14 Oct →
nuke9–13-0.0128%14 Oct →
nuke13–10.0525%14 Oct →
cache6–0-0.0217%14 Oct →
dust28–13-0.0221%14 Oct →
dust213–00.1044%13 Oct →
anubis10–130.0416%12 Oct →
dust213–50.1018%10 Oct →
mirage10–13-0.0224%10 Oct →
anubis13–60.0416%10 Oct →
inferno13–60.1115%9 Oct →
mirage13–80.0419%9 Oct →
ancient13–90.0325%8 Oct →
nuke8–13-0.0310%8 Oct →
mirage13–100.0119%8 Oct →
anubis13–50.0530%8 Oct →
cache13–90.0015%3 Oct →
anubis16–14-0.0211%2 Oct →
nuke13–16-0.0317%29 Sept →
mirage13–90.0726%27 Sept →
cache13–70.0320%27 Sept →
nuke13–10-0.0314%27 Sept →
cache11–130.0224%26 Sept →
overpass11–13-0.0218%12 Sept →
nuke13–100.0410%12 Sept →
nuke13–100.0120%9 Sept →
dust28–130.0841%9 Sept →
cache13–80.0822%6 Sept →
cache9–130.0418%4 Sept →
nuke3–13-0.0527%4 Sept →
cache13–6-0.0315%4 Sept →
cache8–130.0017%4 Sept →
nuke2–13-0.1221%4 Sept →
anubis13–80.0417%3 Sept →
nuke11–13-0.0121%3 Sept →
ancient13–60.0633%3 Sept →
inferno4–13-0.0115%2 Sept →
mirage7–130.0436%31 Aug →
nuke13–60.0222%31 Aug →
mirage13–50.0426%31 Aug →
anubis10–13-0.0411%30 Aug →
mirage13–40.0443%30 Aug →
cache8–13-0.0519%30 Aug →
cache4–13-0.0824%28 Aug →
dust213–9-0.0139%28 Aug →
dust214–16-0.0426%28 Aug →
nuke13–8-0.0219%28 Aug →
inferno13–10-0.0231%28 Aug →
ancient13–7-0.037%28 Aug →
mirage16–130.0521%28 Aug →
inferno13–10-0.0137%28 Aug →
nuke13–11-0.0315%28 Aug →
anubis13–110.0013%28 Aug →
cache13–1-0.0025%27 Aug →
ancient5–13-0.0510%27 Aug →
mirage13–50.0129%27 Aug →
anubis16–130.0820%26 Aug →
mirage13–100.0327%26 Aug →
nuke6–13-0.0718%21 Aug →
train4–130.0117%21 Aug →
dust210–13-0.0726%21 Aug →
mirage13–40.0335%21 Aug →
mirage13–90.0222%21 Aug →
mirage4–13-0.0513%14 Aug →
ancient5–13-0.0135%14 Aug →
nuke15–15-0.0220%14 Aug →
dust213–90.0213%14 Aug →
mirage10–13-0.0323%14 Aug →
dust213–60.1321%30 Jul →
vertigo4–90.0133%30 Jul →
cache6–13-0.0116%27 Jul →
inferno13–60.0119%17 Jul →
nuke13–100.0025%17 Jul →
anubis7–13-0.0623%17 Jul →
dust210–130.0136%11 Jul →
mirage16–140.0722%11 Jul →
mirage9–130.0013%24 Jun →
dust213–11-0.0122%19 Jun →
ancient9–13-0.0817%13 Jun →
mirage6–130.0216%13 Jun →
anubis2–13-0.0424%12 Jun →
dust210–13-0.0125%12 Jun →
dust216–130.0019%6 Jun →
mirage13–11-0.0233%6 Jun →
ancient10–13-0.0729%5 Jun →
dust213–110.0436%5 Jun →
anubis5–13-0.0216%5 Jun →
dust210–13-0.0423%5 Jun →
dust210–130.0328%4 Jun →
dust26–130.0727%30 May →
nuke13–40.0422%23 May →
nuke12–120.0440%14 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.