Fortza

Fortza — CS2 Stats

IE76561198149830153[U:1:189564425]Steam profile ↗✓ No bans

721Tracked matches38%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 721
0.0ppWin rate · 38.5% → 38.5%

Rating over time

Premier CS Rating: 23,748 +1,096 3 Jan – 27 Dec · 14 days played
22,03625,114peak 25,1143 Jan27 Dec
25,114Peak Premier in tracked matches
2,081Highest Faceit ELO seen on CSDB
52Days played since 2025-01-03

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.GGFortzaFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,081csdb.gg/stats

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Performance scores

Aim67
Positioning61
Utility39

0–100 skill scores via Leetify.

Recent form

COLD47–43–10Last 10047%Win rateWLTLLWTWLT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −4.1pp headshot accuracy · −78ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 561ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 600ms

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 (+2.8 against its own average).

Aim6.7
Utility3.9
Positioning6.1
Opening Duels2.9
Clutch0.4

Strong CT-side opener

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 50% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim6.7
Positioning6.1
Utility3.9
Mechanics6.5
Opening Duels2.6
Win Impact1.2

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time594ms−6ms
first ⅓ avg 600ms → last ⅓ avg 594ms
Headshot accuracy19.2%−2.9%
first ⅓ avg 22.2% → last ⅓ avg 19.2%

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

0.11Best match rating · 9–3 · mirage, 23 Jul →
100%Best headshot accuracy · 0–5 · mirage, 28 Jun →
391msFastest reaction time · 13–10 · anubis, 29 May →
13–1Biggest win · mirage, 14 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–4In matches decided by ≤2 rounds
18Overtime games

Map breakdown

overpassBest map · 73% over 11ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC3113–1842%0.00
nukeA1610–663%-0.01
infernoB157–847%-0.01
ancientC114–736%-0.01
overpassS118–373%0.02
anubisB63–350%-0.01
dust2—31–233%0.00
train—31–233%-0.01
vertigo—30–30%-0.01
cache—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,245Matches
52%Win rate
1.28Avg K/D
68.3ADR
40%Headshot %

Clutches & streaks

22%1v1 clutch win
7%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1070%1.0615.2
Anubis425%0.7412.3
Nuke333%1.1713.0
Inferno30%0.7813.7
Ancient30%0.7010.7
Vertigo250%0.728.5
Dust2250%0.8623.0
Overpass1100%1.7319.0

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.

19.4%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.9%Spray accuracy
79.4%Counter-strafing
10.5°Preaim
588msReaction time
24.5%T opening success
50.5%CT opening success
0.56Enemies flashed / flash
7.2%Flash assists
3.63HE damage / grenade
6.94Flashes / 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 24.5417% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–6-0.019%18 Oct →
mirage8–130.0129%11 Oct →
nuke15–15-0.0620%10 Oct →
dust25–13-0.0225%10 Oct →
ancient7–130.0011%21 Aug →
nuke13–90.0516%21 Aug →
cache15–15-0.0317%21 Aug →
nuke13–110.0119%2 May →
mirage14–16-0.0224%14 Apr →
ancient15–150.0122%14 Apr →
mirage5–130.0024%14 Apr →
overpass15–150.0627%17 Mar →
nuke16–120.0130%17 Mar →
nuke5–13-0.0420%11 Feb →
inferno5–13-0.0535%1 Feb →
mirage16–130.0522%1 Feb →
ancient7–13-0.0511%31 Jan →
overpass13–8-0.0115%31 Jan →
mirage13–30.1024%25 Jan →
mirage1–13-0.0525%18 Jan →
inferno7–13-0.0117%7 Jan →
mirage13–11-0.0519%27 Dec →
ancient8–13-0.0513%27 Dec →
inferno13–160.0413%27 Dec →
inferno13–11-0.0316%27 Nov →
mirage7–13-0.0621%27 Nov →
inferno13–3-0.0315%11 Nov →
train7–13-0.058%11 Nov →
mirage7–13-0.0516%27 Oct →
inferno10–130.0018%27 Oct →
overpass9–13-0.0314%25 Oct →
ancient11–130.0117%10 Oct →
mirage15–150.0925%10 Oct →
nuke13–90.0121%14 Sept →
mirage9–130.0111%14 Sept →
mirage13–10-0.0117%14 Sept →
inferno13–5-0.0111%14 Sept →
overpass13–8-0.0019%8 Sept →
mirage13–6-0.0519%8 Sept →
mirage13–9-0.0118%8 Sept →
mirage15–15-0.0624%2 Sept →
mirage2–13-0.1010%2 Sept →
inferno15–13-0.087%2 Sept →
overpass16–120.0521%31 Aug →
train7–13-0.0424%31 Aug →
nuke10–13-0.0119%30 Aug →
mirage16–13-0.0420%29 Aug →
nuke13–7-0.0310%25 Aug →
inferno6–13-0.0617%25 Aug →
overpass13–60.0811%24 Aug →
overpass3–2-0.050%24 Aug →
nuke13–9-0.0213%24 Aug →
ancient13–100.0112%24 Aug →
mirage13–90.0225%24 Aug →
inferno13–160.0318%23 Aug →
mirage13–60.0621%23 Aug →
overpass4–13-0.0119%23 Aug →
inferno13–11-0.0115%22 Aug →
ancient13–7-0.067%22 Aug →
mirage8–130.0013%14 Aug →
overpass11–1-0.004%14 Aug →
overpass13–80.0512%26 Jul →
mirage14–16-0.0624%26 Jul →
nuke13–20.0620%23 Jul →
mirage9–30.1118%23 Jul →
overpass13–50.0510%19 Jul →
mirage6–130.0024%19 Jul →
inferno16–14-0.0027%16 Jul →
mirage9–130.0516%16 Jul →
mirage0–5-0.05100%28 Jun →
vertigo8–13-0.0329%14 Jun →
mirage13–10.0821%14 Jun →
nuke8–13-0.0128%3 Jun →
inferno7–00.0330%3 Jun →
anubis11–13-0.0711%2 Jun →
anubis13–10-0.0022%29 May →
dust213–50.0415%24 May →
mirage2–130.028%24 May →
anubis12–120.0226%18 May →
inferno12–12-0.0513%18 May →
mirage12–120.1025%18 May →
dust27–13-0.0024%14 May →
anubis9–13-0.0224%15 Apr →
train13–20.0627%5 Apr →
inferno8–130.0117%5 Apr →
nuke13–110.0624%5 Apr →
mirage13–5-0.0418%5 Apr →
ancient7–13-0.0911%2 Apr →
nuke16–140.0016%21 Mar →
ancient16–130.0114%21 Mar →
vertigo0–00.000%2 Mar →
nuke2–9-0.2014%2 Mar →
mirage13–70.0128%15 Feb →
nuke13–7-0.0418%15 Feb →
ancient13–70.0829%19 Jan →
anubis8–00.0310%19 Jan →
nuke10–130.0129%9 Jan →
mirage2–13-0.0721%7 Jan →
ancient7–130.0119%7 Jan →
vertigo9–13-0.0120%3 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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