TORTA FISTER

TORTA FISTER — CS2 Stats

76561199043596574[U:1:1083330846]Steam profile ↗✓ No bans

1,017Tracked matches64%Win rate2025Tracked since
601Hours in CS
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating23,155Top 25% of 190,010 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#38643 of 238253 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,155 → 23,155
+7Tracked matches · now 1,017
−7.1ppWin rate · 71.4% → 64.3%
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. 26 days played since 22 Jul 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: 23,155 +5,052 23 Jul22 Sept · 10 days played
18,10323,266peak 23,26623 Jul22 Sept
23,266Peak Premier in tracked matches
26Days played since 2026-07-22

Premier CS Rating

  • 111 below peak (23,266)
  • Next: Red band at 25,000 1,845 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=37,832), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate37.3%46.9%49.2%11.9% short
Shot accuracy0.0%13.0%13.3%13.3% short
Kill/death ratio1.101.081.120.02 short
Match win rate45.5%46.7%48.5%3.0% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTORTA FISTERPREMIER23,155 · Pink bandcsdb.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

Aim56
Positioning62
Utility13

0–100 skill scores via Leetify.

Recent form

COLD68284Last 10068%Win rateLLLLWWLLLW

Last 10 vs previous 10: −50pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · +8ms reaction

Win rate down 50pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 613ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 609ms

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 PlayerPositioning stands above the rest of this profile (+3.5 against its own average).

Aim5.6
Utility1.3
Positioning6.2
Opening Duels3.4
Clutch0.0

Limited utility dependence

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

s1mple

Plays most like s1mple 77% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning6.2
Utility1.3
Mechanics3.9
Opening Duels4.0
Win Impact9.8

Composite 5.2/10 (Developing), 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 rating0.01−0.06
first ⅓ avg 0.07 → last ⅓ avg 0.01
Reaction time591ms+109ms
first ⅓ avg 483ms → last ⅓ avg 591ms
Headshot accuracy14.7%−1.7%
first ⅓ avg 16.4% → last ⅓ avg 14.7%

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

0.29Best match rating · 13–3 · dust2, 4 Aug
100%Best headshot accuracy · 3–0 · dust2, 1 Aug
281msFastest reaction time · 13–1 · mirage, 24 Jul
13–0Biggest win · shelter, 31 Jul

Across the last 100 tracked matches.

Highlights

13Longest win streak
L4Current streak
64In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 86% over 22trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2219386%0.07
nukeB137654%0.04
mirageA117464%0.06
infernoS96367%0.06
ancientS96367%0.04
anubisS86275%0.09
cacheA74357%0.00
vertigoS75271%0.02
trainC52340%0.03
shelter42250%0.09
overpass220100%0.05
office1010%0.03
italy110100%0.07
fachwerk110100%-0.06

Across the last 100 tracked matches.

Lifetime stats

31,985Lifetime kills
1.10K/D · Top 50% of Pink band
1,831Matches
45.5%Match win rate
37.3%Headshot %
0.0%Shot accuracy
4,225MVPs
601Hours (in match)
1,121Bombs planted
439Bombs defused

Most-used weapons

Lifetime map wins

5,225dust2
1,737inferno
1,586nuke
880vertigo
664train
262office
74italy
14lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1Matches
0%Win rate
0.79Avg K/D
51.9ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

14.1%Headshot accuracy
36.6%Accuracy (enemy spotted)
31.9%Spray accuracy
67.8%Counter-strafing
9.0°Preaim
599msReaction time
42.5%T opening success
49.4%CT opening success
0.25Enemies flashed / flash
1.5%Flash assists
11.27HE damage / grenade
3.48Flashes / 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 14.1414% — 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 0.254 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Train

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

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno10–130.0411%22 Sept
dust26–13-0.0818%22 Sept
cache3–13-0.0518%22 Sept
nuke5–130.008%22 Sept
inferno13–110.0318%22 Sept
nuke13–8-0.0210%22 Sept
nuke9–130.0312%22 Sept
mirage10–13-0.0122%22 Sept
vertigo4–9-0.024%22 Sept
dust213–90.0518%22 Sept
anubis13–10-0.0222%22 Sept
vertigo13–4-0.057%22 Sept
overpass11–7-0.045%14 Sept
vertigo4–130.029%14 Sept
mirage3–20.026%14 Sept
dust213–7-0.0415%14 Sept
dust27–4-0.0217%14 Sept
train13–8-0.0110%13 Sept
nuke13–10-0.0110%13 Sept
mirage12–120.0215%13 Sept
cache10–13-0.0415%8 Sept
dust213–40.0213%2 Sept
cache7–20.0427%1 Sept
inferno13–70.0214%1 Sept
mirage13–70.1121%1 Sept
dust213–40.1122%1 Sept
anubis9–130.0911%30 Aug
ancient13–40.0715%30 Aug
cache13–40.0317%30 Aug
mirage12–120.1612%29 Aug
cache9–13-0.078%28 Aug
nuke10–13-0.0532%27 Aug
dust213–110.0425%10 Aug
mirage13–100.0820%9 Aug
train2–13-0.0412%8 Aug
dust213–50.0518%7 Aug
vertigo13–5-0.0118%7 Aug
inferno8–13-0.0128%6 Aug
anubis11–130.1025%5 Aug
dust26–130.0853%4 Aug
dust213–30.2934%4 Aug
nuke13–40.1518%4 Aug
vertigo13–70.0813%4 Aug
dust213–110.0726%2 Aug
dust213–70.1238%2 Aug
anubis5–10.2025%1 Aug
cache13–90.0320%1 Aug
shelter13–100.0815%1 Aug
inferno9–130.1216%1 Aug
dust213–20.0815%1 Aug
dust23–0-0.04100%1 Aug
ancient11–130.0413%31 Jul
ancient13–40.1011%31 Jul
office5–70.039%31 Jul
dust213–30.1020%31 Jul
dust213–60.187%31 Jul
shelter13–00.1425%31 Jul
mirage6–130.0019%28 Jul
cache13–100.0717%28 Jul
anubis13–100.0524%28 Jul
vertigo13–30.109%28 Jul
mirage13–70.0815%26 Jul
nuke7–100.024%26 Jul
train12–120.149%26 Jul
dust24–130.0117%26 Jul
italy13–40.0714%25 Jul
ancient8–130.0318%25 Jul
anubis13–110.0313%25 Jul
shelter11–130.0726%25 Jul
fachwerk11–1-0.060%25 Jul
nuke13–100.0126%25 Jul
vertigo13–10.0525%25 Jul
inferno13–50.1420%25 Jul
dust213–60.048%25 Jul
train13–5-0.0118%25 Jul
mirage13–50.0521%25 Jul
dust213–20.1035%25 Jul
nuke13–5-0.0525%25 Jul
ancient13–70.000%25 Jul
ancient13–4-0.0215%25 Jul
train10–130.0412%25 Jul
nuke15–150.1013%24 Jul
ancient8–130.0211%24 Jul
nuke8–130.0910%24 Jul
dust213–80.1818%24 Jul
mirage13–10.0714%24 Jul
nuke13–80.1220%24 Jul
ancient13–90.076%24 Jul
dust216–140.1117%24 Jul
anubis13–100.1423%24 Jul
ancient3–00.0740%24 Jul
overpass9–00.1514%24 Jul
inferno12–6-0.060%23 Jul
inferno13–20.1213%23 Jul
nuke13–40.1823%23 Jul
mirage13–70.113%23 Jul
inferno13–80.089%22 Jul
shelter7–130.0630%22 Jul
anubis13–40.1322%22 Jul
dust213–60.0416%22 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →