Forns

Forns — CS2 Stats

76561197991555253[U:1:31289525]Steam profile ↗✓ No bans

3,681Tracked matches57%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
FaceitLevel 10 · 1,764 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,764 → 1,764
+3Tracked matches · now 3,681
0.0ppWin rate · 56.7% → 56.7%
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. 36 days played since 19 Feb 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

Premier CS Rating: 24,782 -41 20 Feb – 26 Mar · 5 days played
24,49724,823peak 24,82320 Feb26 Mar
Faceit ELO: 1,764 +0 28 Aug – 23 Sept · 3 observations
1,7641,764peak 1,76428 Aug23 Sept
24,940Peak Premier in tracked matches
1,764Highest Faceit ELO seen on CSDB
36Days played since 2026-02-19

Faceit ELO

  • At peak — 1,764
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 237 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

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.GGFornsFACEITLevel 10 · 1,764 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO1,764csdb.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

Aim75
Positioning49
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWLWLLLWLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −9.9pp headshot accuracy · +33ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 617ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 591ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 575ms

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 (+2.7 against its own average).

Aim7.5
Utility6.8
Positioning4.9
Opening Duels1.0
Clutch3.8

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

Twistzz

Plays most like Twistzz 85% 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. 566ms 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

Aim7.5
Positioning4.9
Utility6.8
Mechanics7.0
Opening Duels2.8
Win Impact7.2

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time572ms−53ms
first ⅓ avg 625ms → last ⅓ avg 572ms
Headshot accuracy17.8%−1.3%
first ⅓ avg 19.1% → last ⅓ avg 17.8%

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

0.16Best match rating · 9–13 · inferno, 26 Feb →
33%Best headshot accuracy · 13–10 · nuke, 1 Sept →
430msFastest reaction time · 4–13 · nuke, 18 Sept →
13–0Biggest win · mirage, 24 Mar →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 79% over 14mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
ancientA2112–957%0.02
infernoB199–1047%0.00
nukeS1411–379%0.02
cacheS139–469%0.00
dust2B137–654%-0.01
mirageC104–640%0.00
anubisC73–443%0.01
train—21–150%0.04
overpass—11–0100%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,655Matches
50%Win rate
1.08Avg K/D
78.4ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient29750%1.1416.0
Inferno24457%1.0615.2
Anubis22544%1.0615.8
Nuke17752%1.0915.7
Dust213541%1.0015.4
Mirage12039%1.0215.4
Overpass4257%1.0215.4
Train2955%1.1516.6

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.

18.4%Headshot accuracy
36.2%Accuracy (enemy spotted)
35.8%Spray accuracy
81.5%Counter-strafing
9.7°Preaim
566msReaction time
45.9%T opening success
36.4%CT opening success
0.57Enemies flashed / flash
8.8%Flash assists
13.46HE damage / grenade
11.22Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.4103% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0122%22 Sept →
ancient13–8-0.0513%22 Sept →
ancient9–13-0.0213%21 Sept →
cache13–50.028%21 Sept →
ancient14–160.0314%21 Sept →
inferno2–13-0.110%21 Sept →
ancient5–130.0213%21 Sept →
nuke16–140.0326%21 Sept →
mirage6–13-0.087%20 Sept →
train13–40.0727%20 Sept →
ancient13–60.0521%19 Sept →
ancient13–70.0131%19 Sept →
mirage8–130.0321%19 Sept →
anubis12–16-0.0416%19 Sept →
cache13–100.0131%19 Sept →
dust213–80.0027%19 Sept →
cache13–9-0.0230%18 Sept →
nuke4–13-0.0626%18 Sept →
inferno13–9-0.0315%18 Sept →
nuke9–13-0.0724%17 Sept →
inferno7–13-0.0813%17 Sept →
dust213–8-0.0415%17 Sept →
nuke13–10.0117%17 Sept →
inferno10–13-0.0119%17 Sept →
ancient13–7-0.0720%17 Sept →
ancient13–60.0212%14 Sept →
mirage13–80.0419%14 Sept →
ancient12–160.0412%13 Sept →
cache13–80.048%12 Sept →
dust213–50.0219%12 Sept →
cache13–50.0118%12 Sept →
ancient13–80.0215%12 Sept →
inferno13–80.0415%12 Sept →
dust213–7-0.0116%11 Sept →
cache7–13-0.0421%11 Sept →
anubis8–130.0119%10 Sept →
dust213–70.0022%10 Sept →
mirage14–16-0.045%10 Sept →
inferno13–90.1018%10 Sept →
inferno22–190.0125%9 Sept →
ancient13–80.0220%8 Sept →
inferno6–13-0.0420%8 Sept →
ancient13–40.1420%8 Sept →
nuke8–10.0824%8 Sept →
inferno13–40.0226%8 Sept →
nuke16–14-0.0531%7 Sept →
dust213–10-0.0725%7 Sept →
cache13–50.0423%6 Sept →
ancient13–90.0410%6 Sept →
inferno13–100.0827%4 Sept →
cache9–130.0430%3 Sept →
cache2–13-0.0421%3 Sept →
ancient7–13-0.0018%3 Sept →
nuke13–100.0323%1 Sept →
nuke13–80.0225%1 Sept →
cache13–9-0.0229%1 Sept →
ancient17–19-0.0314%1 Sept →
nuke13–100.0733%1 Sept →
inferno8–13-0.0015%31 Aug →
dust213–40.0417%31 Aug →
inferno9–130.0216%27 Aug →
mirage13–40.0727%27 Aug →
anubis13–9-0.0312%26 Aug →
inferno4–13-0.0724%26 Aug →
nuke13–80.0111%26 Aug →
ancient13–60.0421%26 Aug →
ancient6–130.0323%25 Aug →
anubis13–70.0620%25 Aug →
nuke13–10-0.0418%25 Aug →
inferno13–100.0313%25 Aug →
dust27–13-0.0116%25 Aug →
train5–130.0118%24 Aug →
anubis10–130.0421%24 Aug →
ancient10–130.0021%24 Aug →
inferno13–80.0119%24 Aug →
cache5–13-0.0120%23 Aug →
nuke13–110.0413%23 Aug →
cache13–60.0014%22 Aug →
nuke13–30.1517%20 Aug →
dust24–13-0.0418%19 Aug →
inferno1–13-0.0717%19 Aug →
ancient13–11-0.0119%7 Aug →
anubis13–9-0.0125%7 Aug →
inferno8–13-0.0527%7 Aug →
cache13–10-0.036%31 Jul →
mirage3–13-0.0121%26 Mar →
dust211–130.0127%25 Mar →
nuke7–13-0.0116%24 Mar →
mirage13–00.0116%24 Mar →
inferno16–140.0217%24 Mar →
ancient15–150.0321%24 Mar →
mirage13–8-0.0330%24 Mar →
anubis11–130.0425%26 Feb →
inferno9–130.1616%26 Feb →
mirage12–160.0220%26 Feb →
overpass13–10-0.0722%23 Feb →
dust24–13-0.0029%20 Feb →
ancient13–100.0012%20 Feb →
dust27–13-0.0324%20 Feb →
dust28–13-0.0314%19 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →