siffo

siffo — CS2 Stats

76561198030796497[U:1:70530769]Steam profile ↗✓ No bans

1,255Tracked matches47%Win rate2021Tracked since
CSDB Rating4.4 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 1,255 tracked matches. 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. 39 days played since 23 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,034 -1,369 17 Oct23 Apr · 9 days played
16,45918,870peak 18,87017 Oct23 Apr
Faceit ELO: 1,329 +0 19 Sept20 Sept · 2 observations
1,3291,329peak 1,32919 Sept20 Sept
18,870Peak Premier in tracked matches
1,329Highest Faceit ELO seen on CSDB
39Days played since 2025-08-23

Faceit ELO

  • At peak — 1,329
  • Next: Level 7 at 1,351 22 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-19
  • Level 5 first seen 2026-09-19

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.

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CSDB.GGsiffoPEAK ELO1,329csdb.gg/stats

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Performance scores

Aim55
Positioning53
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY43543Last 10043%Win rateWLLWWLLWWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −2.3pp headshot accuracy · −3ms 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

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 622ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 585ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • 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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim5.5
Utility5.4
Positioning5.3
Opening Duels3.0
Clutch4.0

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

jL

Plays most like jL 79% 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. 585ms 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

Aim5.5
Positioning5.3
Utility5.4
Mechanics4.7
Opening Duels2.7
Win Impact3.9

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time588ms−52ms
first ⅓ avg 639ms → last ⅓ avg 588ms
Headshot accuracy14.9%−1.0%
first ⅓ avg 15.9% → last ⅓ avg 14.9%

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

0.12Best match rating · 13–4 · inferno, 26 Jul
37%Best headshot accuracy · 4–13 · inferno, 7 Sept
391msFastest reaction time · 13–1 · cache, 8 Aug
13–1Biggest win · cache, 8 Aug

Across the last 100 tracked matches.

Highlights

3Longest win streak
65In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB20101050%0.01
ancientB189950%0.01
overpassC156940%0.00
anubisD134931%-0.01
infernoD112918%-0.00
trainA74357%0.01
dust2D51420%-0.01
cacheS54180%0.01
mirage42250%-0.02
italy1010%-0.00
agency110100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

539Matches
50%Win rate
1.11Avg K/D
78.8ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke6461%1.1716.4
Anubis4947%1.1115.5
Ancient4040%1.0414.1
Inferno2638%1.0315.2
Train2450%0.9215.4
Dust22236%0.9615.7
Vertigo2157%1.0815.9
Mirage1040%0.9214.5

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.

14.6%Headshot accuracy
33.1%Accuracy (enemy spotted)
38.0%Spray accuracy
71.0%Counter-strafing
10.4°Preaim
585msReaction time
33.6%T opening success
48.2%CT opening success
0.44Enemies flashed / flash
7.2%Flash assists
7.93HE damage / grenade
8.43Flashes / 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 14.6098% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4448 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 33.5989% — below the 40% mark we flag

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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0219%30 Aug
nuke2–13-0.0211%29 Aug
inferno8–13-0.0510%29 Aug
mirage13–8-0.0517%29 Aug
nuke13–100.018%16 Aug
inferno7–13-0.0812%15 Aug
dust212–160.0118%15 Aug
cache13–7-0.0213%8 Aug
cache13–10.0417%8 Aug
inferno7–130.0412%28 Jul
dust210–130.046%28 Jul
inferno13–40.128%26 Jul
nuke13–30.1016%26 Jul
ancient4–13-0.0130%26 Jul
cache13–60.0111%11 Jul
ancient13–80.0015%11 Jul
anubis7–13-0.0018%11 Jul
mirage13–50.0513%11 Jul
nuke1–13-0.0733%11 Jul
dust213–16-0.0610%22 May
inferno9–13-0.0216%22 May
cache13–90.038%1 May
cache6–13-0.0115%1 May
inferno10–13-0.0310%23 Apr
anubis4–130.0027%23 Apr
ancient2–13-0.0815%23 Apr
overpass13–50.0018%9 Apr
anubis7–13-0.0313%4 Apr
ancient16–12-0.0017%4 Apr
anubis16–14-0.0215%27 Mar
ancient11–130.0816%27 Mar
anubis8–130.079%15 Mar
anubis4–13-0.0419%13 Mar
nuke13–110.0414%13 Mar
overpass9–13-0.0212%13 Mar
ancient13–6-0.028%13 Mar
ancient11–13-0.0316%6 Mar
nuke13–90.0511%6 Mar
inferno3–13-0.039%6 Mar
nuke15–15-0.0011%27 Feb
overpass6–13-0.0712%27 Feb
nuke13–6-0.0410%7 Feb
overpass16–120.0713%7 Feb
ancient13–30.0416%7 Feb
anubis10–13-0.0210%6 Feb
overpass6–13-0.0417%6 Feb
anubis13–50.0417%6 Feb
overpass13–9-0.0312%31 Jan
anubis11–130.0118%31 Jan
ancient13–10.0613%31 Jan
overpass6–9-0.0417%31 Jan
nuke13–30.022%24 Jan
overpass6–13-0.0113%24 Jan
ancient10–130.0825%24 Jan
inferno8–130.0413%22 Jan
anubis13–7-0.0317%22 Jan
nuke13–8-0.0114%9 Jan
dust26–13-0.0318%9 Jan
inferno6–13-0.0517%9 Jan
ancient5–13-0.029%9 Jan
overpass3–130.0123%2 Jan
inferno13–9-0.0114%2 Jan
nuke13–50.0415%20 Dec
train12–160.0020%20 Dec
nuke5–13-0.0625%14 Nov
ancient13–70.0916%14 Nov
anubis2–13-0.0713%14 Nov
italy4–13-0.0025%14 Nov
train13–90.0215%2 Nov
overpass9–130.0016%31 Oct
agency13–100.1124%31 Oct
ancient13–70.107%31 Oct
anubis13–110.038%31 Oct
train7–130.0322%26 Oct
nuke5–130.005%26 Oct
overpass13–80.0625%25 Oct
ancient8–130.0219%25 Oct
overpass13–60.1120%25 Oct
ancient15–15-0.0612%17 Oct
mirage3–13-0.085%17 Oct
train13–110.009%17 Oct
overpass10–13-0.0018%17 Oct
train12–160.0112%4 Oct
overpass16–130.0017%4 Oct
ancient13–6-0.0218%4 Oct
train16–12-0.0023%4 Oct
nuke12–16-0.0016%27 Sept
nuke9–130.015%27 Sept
dust213–7-0.0016%27 Sept
overpass7–130.018%27 Sept
nuke11–13-0.027%27 Sept
inferno4–130.0337%7 Sept
anubis3–8-0.0212%6 Sept
train13–60.0420%31 Aug
mirage12–16-0.0113%31 Aug
nuke16–140.0519%31 Aug
ancient11–13-0.029%24 Aug
nuke5–130.0220%24 Aug
nuke12–120.0117%23 Aug
ancient13–7-0.0226%23 Aug

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 →