TORTA

TORTA — CS2 Stats

US76561199582604235[U:1:1622338507]Steam profile ↗✓ No bans

1,398Tracked matches67%Win rate2023Tracked since
701Hours in CS
CSDB Rating6.5 SolidAll-Rounder
Premier CS Rating9,880Light Blue band · top ~55.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,880 -1,274 5 Jun – 31 Oct · 26 days played
6,54912,867peak 12,8675 Jun31 Oct
13,092Peak Premier in tracked matches
49Days played since 2026-06-05

Premier CS Rating

  • 2,987 below peak (12,867)
  • +2,769 over 30 days · improving
  • Next: Blue band at 10,000 — 120 to go
  • Reached: Blue band · Light Blue band

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate46.0%42.7%43.8%above
Shot accuracy0.1%11.2%12.0%11.9% short
Kill/death ratio0.870.991.020.14 short
Match win rate42.5%43.9%44.7%2.2% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTORTAFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,880 · Light Blue 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

Aim77
Positioning67
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLWTLLTLWWW

Last 10 vs previous 10: −60pp win rate · −0.03 avg rating · −1.9pp headshot accuracy · +6ms reaction

Win rate down 60pp 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 552ms

Last 20

  • 14–4–2 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 548ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.7
Utility7.0
Positioning6.7
Opening Duels5.4
Clutch6.6

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 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

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

Aim7.7
Positioning6.7
Utility7.0
Mechanics4.9
Opening Duels7.8
Win Impact10.0

Composite 6.5/10 (Solid), 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 rating0.05+0.07
first ⅓ avg -0.03 → last ⅓ avg 0.05
Reaction time548ms−97ms
first ⅓ avg 646ms → last ⅓ avg 548ms
Headshot accuracy22.7%+5.0%
first ⅓ avg 17.7% → last ⅓ avg 22.7%

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

0.16Best match rating · 13–5 · inferno, 10 Oct →
40%Best headshot accuracy · 13–2 · train, 15 Oct →
406msFastest reaction time · 4–13 · dust2, 29 Oct →
13–2Biggest win · train, 15 Oct →

Across the last 100 tracked matches.

Highlights

13Longest win streak
6–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 54% over 13dust2Weakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
dust2C207–1335%0.01
mirageB189–950%0.02
infernoB178–947%-0.02
cacheB157–847%0.02
nukeB137–654%0.02
ancientC73–443%-0.02
anubisC52–340%-0.01
vertigo—21–150%0.10
train—21–150%0.04
overpass—11–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,238Lifetime kills
0.87K/D
1,792Matches
42.5%Match win rate
46.0%Headshot % · Top 50% of Level 4 players
0.1%Shot accuracy
3,926MVPs
701Hours (in match)
2,404Bombs planted
373Bombs defused

Most-used weapons

Lifetime map wins

2,886dust2
2,758inferno
1,480vertigo
1,449nuke
327train
70office
15italy
11ar_baggage

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

Faceit stats

Combat

18Matches
44%Win rate
1.01Avg K/D
70.5ADR
34%Headshot %

Clutches & streaks

53%1v1 clutch win
24%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno850%1.0412.6
Mirage425%0.6610.3
Dust2367%1.4920.7
Anubis20%0.9418.0
Ancient1100%0.8619.0

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.

21.9%Headshot accuracy
36.7%Accuracy (enemy spotted)
40.8%Spray accuracy
72.0%Counter-strafing
10.0°Preaim
548msReaction time
68.4%T opening success
53.8%CT opening success
0.64Enemies flashed / flash
8.4%Flash assists
8.87HE damage / grenade
14.00Flashes / match

Recommended for you

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0019%31 Oct →
mirage13–7-0.0126%29 Oct →
dust212–120.0222%29 Oct →
dust24–13-0.0123%29 Oct →
mirage9–130.0310%29 Oct →
vertigo12–120.0616%28 Oct →
inferno10–13-0.0414%26 Oct →
inferno13–70.0929%26 Oct →
cache13–50.0719%26 Oct →
inferno13–5-0.0127%26 Oct →
mirage13–60.1428%26 Oct →
ancient13–10-0.0616%25 Oct →
nuke13–40.0318%25 Oct →
mirage16–130.036%25 Oct →
nuke13–90.0222%19 Oct →
anubis13–60.0818%19 Oct →
cache13–80.1327%19 Oct →
mirage13–9-0.0218%17 Oct →
dust213–70.1129%15 Oct →
train13–20.1040%15 Oct →
ancient6–130.0419%15 Oct →
vertigo13–90.1325%15 Oct →
mirage8–130.0326%15 Oct →
inferno12–120.0626%15 Oct →
cache10–130.0419%15 Oct →
inferno11–13-0.0333%13 Oct →
cache16–14-0.0221%11 Oct →
nuke16–130.0920%10 Oct →
inferno13–50.1619%10 Oct →
nuke11–130.0934%9 Oct →
nuke13–100.0829%9 Oct →
train3–13-0.0122%9 Oct →
cache9–130.1029%8 Oct →
mirage13–160.0122%8 Oct →
dust210–130.0325%8 Oct →
mirage13–20.0332%8 Oct →
cache13–90.1233%8 Oct →
cache7–130.0215%8 Oct →
inferno2–13-0.1017%29 Sept →
nuke9–13-0.0312%26 Sept →
anubis4–13-0.0418%26 Sept →
cache9–5-0.046%26 Sept →
cache16–14-0.0130%24 Sept →
inferno13–10-0.0329%19 Sept →
nuke13–110.0627%16 Sept →
dust211–130.0322%16 Sept →
dust213–40.0527%15 Sept →
nuke14–160.0316%13 Sept →
inferno13–90.0717%13 Sept →
cache3–13-0.0629%8 Sept →
inferno10–130.0622%7 Sept →
inferno16–120.0323%6 Sept →
mirage8–130.0231%6 Sept →
nuke13–50.0311%2 Sept →
cache13–100.0212%2 Sept →
dust29–13-0.0532%30 Aug →
cache9–13-0.0321%30 Aug →
inferno9–13-0.0012%30 Aug →
mirage13–50.0319%30 Aug →
mirage11–130.0110%23 Aug →
dust213–10-0.090%22 Aug →
ancient5–12-0.0020%17 Aug →
mirage10–130.0623%15 Aug →
ancient5–13-0.0721%15 Aug →
anubis16–140.0516%13 Aug →
dust211–130.0121%2 Aug →
dust26–13-0.0116%22 Jul →
anubis11–13-0.0323%20 Jul →
mirage14–160.0214%19 Jul →
inferno2–7-0.340%17 Jul →
cache3–13-0.0113%15 Jul →
dust213–100.0721%11 Jul →
cache7–13-0.0318%11 Jul →
nuke2–11-0.0916%8 Jul →
dust213–50.0218%29 Jun →
mirage1–13-0.0416%29 Jun →
mirage2–13-0.070%28 Jun →
mirage13–11-0.0332%28 Jun →
nuke13–9-0.0121%27 Jun →
mirage13–50.0419%25 Jun →
inferno0–5-0.180%21 Jun →
dust213–80.0710%19 Jun →
mirage13–90.0924%14 Jun →
dust29–130.0421%14 Jun →
dust25–13-0.0812%14 Jun →
inferno10–13-0.0714%14 Jun →
nuke4–13-0.0627%14 Jun →
anubis3–13-0.0925%14 Jun →
dust211–13-0.0415%14 Jun →
dust28–13-0.0332%12 Jun →
inferno13–110.0321%12 Jun →
cache12–12-0.0319%7 Jun →
ancient13–70.0224%7 Jun →
ancient9–13-0.0216%6 Jun →
ancient13–10-0.045%6 Jun →
dust213–90.0718%6 Jun →
overpass13–70.0331%6 Jun →
inferno13–7-0.0421%6 Jun →
dust25–13-0.0315%5 Jun →
nuke5–13-0.0025%5 Jun →

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 →

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