100-curry_soppan-%

100-curry_soppan-% — CS2 Stats

SE76561198334875260[U:1:374609532]Steam profile ↗✓ No bans

3,809Tracked matches52%Win rate2023Tracked since
3,830Hours in CS3Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating12,574Blue band · top ~41.3% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (11 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: 12,574 +4,526 17 Sept – 14 Oct · 14 days played
5,70914,522peak 14,52217 Sept14 Oct
14,878Peak Premier in tracked matches
12Days played since 2026-09-17

Premier CS Rating

  • 1,948 below peak (14,522)
  • +4,526 over 30 days · improving
  • Next: Purple band at 15,000 — 2,426 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-17

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 5 among CSDB-tracked players (n=14,276), 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 5 medianLevel 6 medianvs Level 6
Headshot rate36.6%43.8%44.8%8.2% short
Shot accuracy3.4%12.0%12.4%9.0% short
Kill/death ratio0.881.021.030.15 short
Match win rate42.6%44.7%45.2%2.6% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG100-curry_soppan-%FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,574 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning53
Utility63

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLWLLWLLWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +4.5pp headshot accuracy · +19ms 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 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 630ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 621ms

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 (+1.5 against its own average).

Aim6.1
Utility6.3
Positioning5.3
Opening Duels3.9
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 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 608ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim6.1
Positioning5.3
Utility6.3
Mechanics4.3
Opening Duels5.7
Win Impact5.6

Composite 5.3/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time612ms+2ms
first ⅓ avg 610ms → last ⅓ avg 612ms
Headshot accuracy14.3%−7.5%
first ⅓ avg 21.8% → last ⅓ avg 14.3%

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 · cache, 1 Oct →
55%Best headshot accuracy · 13–4 · nuke, 1 Oct →
469msFastest reaction time · 13–5 · inferno, 4 Oct →
13–2Biggest win · mirage, 26 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 62% over 13dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageC198–1142%-0.01
dust2C176–1135%-0.01
infernoB158–753%0.01
ancientB147–750%0.02
nukeA138–562%0.02
cacheB105–550%0.02
anubisA95–456%0.00
vertigo—22–0100%-0.05
train—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,369Lifetime kills
0.88K/D
4,129Matches
42.6%Match win rate
36.6%Headshot %
3.4%Shot accuracy
8,095MVPs
1,550Hours (in match)
1,404Bombs planted
791Bombs defused

Most-used weapons

AK-4718,996
AWP7,935
SSG 082,275
MP91,832
MAC-101,239

Lifetime map wins

7,422nuke
6,079vertigo
4,194inferno
1,995dust2
143train
68office
35lake
22italy

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

Faceit stats

Combat

536Matches
47%Win rate
0.97Avg K/D
82.8ADR
35%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17945%0.9514.4
Vertigo8256%1.2016.0
Nuke6144%1.0516.7
Anubis5742%0.9415.7
Ancient5351%0.8614.6
Inferno4848%0.8512.8
Dust22552%0.7512.8
Overpass1258%0.9514.6

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.

14.5%Headshot accuracy
37.3%Accuracy (enemy spotted)
39.2%Spray accuracy
69.2%Counter-strafing
9.8°Preaim
608msReaction time
59.3%T opening success
46.5%CT opening success
0.69Enemies flashed / flash
5.3%Flash assists
10.80HE damage / grenade
12.30Flashes / 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 14.5018% — below the 15% mark we flag

    Aim Training →
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 17 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
inferno8–13-0.0529%14 Oct →
inferno13–90.0019%14 Oct →
mirage10–13-0.0015%14 Oct →
inferno5–130.1215%6 Oct →
cache13–80.0115%6 Oct →
ancient5–13-0.0620%6 Oct →
train8–13-0.048%5 Oct →
vertigo13–9-0.0415%5 Oct →
inferno8–13-0.0520%5 Oct →
mirage4–13-0.0324%5 Oct →
dust211–13-0.0210%5 Oct →
cache10–13-0.007%5 Oct →
dust211–130.0316%5 Oct →
dust213–8-0.0116%5 Oct →
dust22–13-0.0518%4 Oct →
inferno13–7-0.0514%4 Oct →
nuke13–70.0614%4 Oct →
ancient13–4-0.007%4 Oct →
mirage11–13-0.0018%4 Oct →
mirage13–9-0.0214%4 Oct →
anubis6–13-0.065%4 Oct →
inferno13–50.047%4 Oct →
mirage3–13-0.024%4 Oct →
dust213–10-0.0115%4 Oct →
mirage13–11-0.018%4 Oct →
anubis15–15-0.009%4 Oct →
nuke13–8-0.018%4 Oct →
dust213–80.0131%3 Oct →
nuke13–50.0126%3 Oct →
anubis13–11-0.0211%3 Oct →
mirage13–40.0215%3 Oct →
inferno15–150.049%3 Oct →
inferno13–10-0.009%3 Oct →
dust26–13-0.0521%3 Oct →
mirage13–60.029%3 Oct →
mirage13–5-0.029%3 Oct →
nuke13–60.0318%3 Oct →
nuke4–9-0.1017%3 Oct →
mirage12–12-0.0412%3 Oct →
nuke13–110.0919%3 Oct →
inferno13–10-0.0017%2 Oct →
nuke3–13-0.0717%1 Oct →
ancient7–130.0113%1 Oct →
cache10–13-0.0211%1 Oct →
cache13–50.1615%1 Oct →
nuke13–100.0916%1 Oct →
mirage12–16-0.0511%1 Oct →
anubis13–8-0.047%1 Oct →
vertigo13–7-0.0631%1 Oct →
mirage16–140.0317%1 Oct →
ancient13–40.0711%1 Oct →
anubis16–120.0129%1 Oct →
nuke13–40.0355%1 Oct →
dust213–4-0.0331%1 Oct →
inferno9–13-0.059%1 Oct →
ancient13–8-0.0123%1 Oct →
anubis13–50.1121%1 Oct →
dust210–130.0324%30 Sept →
mirage11–130.0318%30 Sept →
cache13–110.0421%29 Sept →
dust210–13-0.0622%29 Sept →
nuke11–130.0632%29 Sept →
dust28–130.0336%29 Sept →
anubis11–13-0.0119%29 Sept →
inferno13–80.0623%29 Sept →
dust29–130.0814%29 Sept →
mirage12–16-0.0225%27 Sept →
mirage16–14-0.0016%27 Sept →
cache13–90.0114%27 Sept →
ancient8–130.0611%27 Sept →
dust27–130.0222%27 Sept →
anubis6–13-0.0326%27 Sept →
inferno15–150.0116%26 Sept →
dust26–13-0.0719%26 Sept →
dust22–13-0.0824%26 Sept →
cache13–3-0.0124%26 Sept →
inferno13–11-0.0013%26 Sept →
nuke13–100.1117%26 Sept →
cache13–160.0923%26 Sept →
anubis13–30.0731%26 Sept →
mirage13–20.0716%26 Sept →
cache7–13-0.0115%26 Sept →
ancient13–160.0523%26 Sept →
dust213–100.0319%26 Sept →
nuke9–13-0.0423%26 Sept →
cache11–13-0.034%26 Sept →
mirage7–13-0.0528%26 Sept →
inferno13–50.0813%25 Sept →
nuke7–13-0.0418%25 Sept →
mirage8–13-0.0429%25 Sept →
ancient13–70.1226%25 Sept →
ancient11–130.0143%25 Sept →
ancient13–100.0610%25 Sept →
ancient11–13-0.0040%25 Sept →
ancient13–20.0442%25 Sept →
ancient7–13-0.0217%25 Sept →
inferno9–13-0.0418%25 Sept →
ancient13–80.0021%25 Sept →
mirage13–16-0.0323%25 Sept →
dust213–100.0238%25 Sept →

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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