siffo

siffo — CS2 Stats

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

1,260Tracked matches40%Win rate2021Tracked since
CSDB Rating4.3 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,329 → 1,329
+5Tracked matches · now 1,260
−6.7ppWin rate · 46.7% → 40.0%

Rating over time

Premier CS Rating: 17,034 -1,369 17 Oct – 23 Apr · 9 days played
16,45918,870peak 18,87017 Oct23 Apr
Faceit ELO: 1,329 +0 19 Sept – 29 Sept · 3 observations
1,3291,329peak 1,32919 Sept29 Sept
18,870Peak Premier in tracked matches
1,329Highest Faceit ELO seen on CSDB
39Days played since 2025-08-31

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.

Share this profile

CSDB.GGsiffoPEAK ELO1,329csdb.gg/stats

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Performance scores

Aim54
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateLLLWWLLWWL

Last 10 vs previous 10: −20pp win rate · −0.07 avg rating · −2.3pp headshot accuracy · −1ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 578ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 589ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 590ms

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 against its own average).

Aim5.4
Utility5.4
Positioning5.6
Opening Duels3.4
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

m0NESY

Plays most like m0NESY 76% 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. 586ms 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
Positioning5.6
Utility5.4
Mechanics4.8
Opening Duels3.5
Win Impact1.7

Composite 4.3/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time581ms−54ms
first ⅓ avg 635ms → last ⅓ avg 581ms
Headshot accuracy14.6%−1.4%
first ⅓ avg 16.0% → last ⅓ avg 14.6%

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
L3Current streak
6–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
nukeA1810–856%0.00
ancientB178–947%0.01
overpassC156–940%0.00
anubisD134–931%-0.01
infernoD112–918%-0.00
cacheS75–271%0.00
trainA74–357%0.01
mirageC52–340%-0.02
dust2D51–420%-0.01
italy—10–10%-0.00
agency—11–0100%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

545Matches
50%Win rate
1.10Avg K/D
78.4ADR
40%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke6560%1.1616.4
Anubis4947%1.1115.5
Ancient4139%1.0213.9
Inferno2638%1.0315.2
Train2450%0.9215.4
Dust22236%0.9615.7
Vertigo2157%1.0815.9
Mirage1233%0.8914.0

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.

14.0%Headshot accuracy
33.0%Accuracy (enemy spotted)
36.8%Spray accuracy
71.6%Counter-strafing
10.5°Preaim
586msReaction time
39.6%T opening success
48.2%CT opening success
0.44Enemies flashed / flash
8.3%Flash assists
7.68HE damage / grenade
7.18Flashes / 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 14.0485% — 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 0.4425 — 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 39.5572% — 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 & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0313%30 Oct →
cache1–13-0.049%30 Oct →
ancient8–13-0.086%25 Oct →
cache13–60.0117%25 Oct →
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 →

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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