Soft

Soft — CS2 Stats

FI76561197963609174[U:1:3343446]Steam profile ↗✓ No bans

1,842Tracked matches31%Win rate2020Tracked since
CSDB Rating3.5 LearningSupport
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,880 -8 1 Jan – 23 Jun · 16 days played
13,91417,360peak 17,3601 Jan23 Jun
17,360Peak Premier in tracked matches
1,130Highest Faceit ELO seen on CSDB
34Days played since 2025-12-28

Faceit ELO

  • At peak — 1,130
  • Next: Level 6 at 1,201 — 71 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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

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CSDB.GGSoftPEAK ELO1,130csdb.gg/stats

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Performance scores

Aim44
Positioning46
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY35–62–3Last 10035%Win rateLTLWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · −57ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 608ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 629ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 657ms

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 (+1.2 against its own average).

Aim4.4
Utility5.0
Positioning4.6
Opening Duels0.8
Clutch4.8

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

iM

Plays most like iM 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 674ms 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

Aim4.4
Positioning4.6
Utility5.0
Mechanics5.4
Opening Duels1.3
Win Impact0.0

Composite 3.5/10 (Learning), 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 rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time677ms+8ms
first ⅓ avg 669ms → last ⅓ avg 677ms
Headshot accuracy23.0%+2.4%
first ⅓ avg 20.5% → last ⅓ avg 23.0%

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

0.12Best match rating · 13–7 · nuke, 5 Jan →
52%Best headshot accuracy · 13–6 · nuke, 7 Jan →
492msFastest reaction time · 9–13 · inferno, 1 Jan →
13–0Biggest win · nuke, 26 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–14In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 67% over 24mirageWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
nukeS2416–867%-0.01
infernoD196–1332%-0.03
ancientD185–1328%-0.02
dust2D124–833%-0.03
anubisD112–918%-0.03
cacheD82–625%-0.02
mirageD70–70%-0.02
train—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

420Matches
49%Win rate
0.98Avg K/D
68.2ADR
45%Headshot %

Clutches & streaks

44%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke7066%1.2614.3
Inferno6146%0.9814.7
Anubis2945%0.8914.4
Ancient2638%0.9413.8
Mirage2157%1.1015.9
Overpass1644%1.1416.9
Dust21323%0.7512.3
Train650%0.9515.5

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.

21.8%Headshot accuracy
30.1%Accuracy (enemy spotted)
31.8%Spray accuracy
74.1%Counter-strafing
12.0°Preaim
674msReaction time
40.7%T opening success
26.6%CT opening success
0.49Enemies flashed / flash
5.6%Flash assists
7.51HE damage / grenade
6.38Flashes / 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. 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 0.4889 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 26.6418% — 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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke12–16-0.0124%1 Nov →
cache15–15-0.0216%1 Nov →
anubis11–13-0.0512%1 Nov →
nuke13–1-0.0038%27 Oct →
nuke16–13-0.039%27 Oct →
cache13–9-0.0118%27 Oct →
nuke12–16-0.0520%19 Sept →
dust213–6-0.0121%31 Aug →
nuke13–11-0.0627%31 Aug →
dust217–19-0.0525%15 Aug →
cache9–13-0.0419%15 Aug →
dust216–14-0.0523%14 Aug →
ancient0–13-0.0920%14 Aug →
cache11–130.0124%14 Aug →
nuke8–13-0.0726%14 Aug →
dust210–13-0.0621%14 Aug →
mirage4–13-0.0332%14 Aug →
cache7–13-0.077%2 Aug →
inferno13–8-0.0216%2 Aug →
cache13–90.0935%2 Aug →
ancient8–13-0.0433%2 Aug →
nuke9–13-0.0219%2 Aug →
anubis10–13-0.0123%2 Aug →
inferno10–13-0.0117%1 Aug →
nuke5–13-0.0424%1 Aug →
ancient4–13-0.0725%1 Aug →
anubis0–13-0.0432%1 Aug →
cache7–13-0.0427%1 Aug →
dust29–13-0.0723%1 Aug →
nuke13–11-0.0318%1 Aug →
ancient7–13-0.0328%1 Aug →
inferno11–13-0.0132%1 Aug →
dust213–11-0.0227%1 Aug →
anubis12–160.0119%1 Aug →
cache0–13-0.0924%1 Aug →
ancient5–130.0716%31 Jul →
anubis7–13-0.0730%23 Jun →
nuke13–60.0010%23 Jun →
dust211–130.0023%18 Jun →
ancient13–11-0.0213%18 Jun →
ancient10–13-0.069%18 Jun →
ancient4–13-0.0628%17 Jun →
nuke13–5-0.0117%17 Jun →
nuke13–20.0623%17 Jun →
nuke12–12-0.075%10 Jun →
inferno11–13-0.0547%27 May →
ancient13–2-0.0520%27 May →
dust29–13-0.0221%26 May →
dust25–13-0.0622%26 May →
mirage0–13-0.1112%26 May →
ancient11–13-0.0618%25 May →
inferno13–16-0.0317%5 May →
anubis13–50.0020%3 May →
ancient11–13-0.0418%3 May →
mirage9–13-0.0113%3 May →
inferno13–6-0.0522%28 Apr →
dust26–13-0.0728%28 Apr →
ancient8–13-0.0520%28 Apr →
anubis5–2-0.0413%28 Apr →
mirage0–5-0.0329%28 Apr →
mirage10–130.0623%28 Apr →
nuke16–14-0.0415%26 Apr →
nuke13–11-0.0426%26 Apr →
ancient16–130.0318%26 Apr →
dust216–140.0013%26 Apr →
nuke13–00.0524%26 Apr →
ancient13–40.0837%26 Apr →
inferno16–13-0.0414%26 Apr →
ancient6–13-0.0226%26 Apr →
inferno15–150.0022%24 Feb →
ancient16–120.0317%24 Feb →
anubis7–13-0.0416%24 Feb →
inferno5–13-0.059%30 Jan →
anubis9–13-0.0313%30 Jan →
anubis9–13-0.0710%30 Jan →
nuke13–5-0.0232%30 Jan →
inferno8–13-0.0526%30 Jan →
anubis11–130.0319%23 Jan →
nuke13–50.1026%23 Jan →
ancient11–13-0.0214%23 Jan →
inferno13–80.0015%23 Jan →
inferno11–130.0016%20 Jan →
ancient7–130.0615%16 Jan →
inferno1–13-0.0730%16 Jan →
train7–13-0.075%11 Jan →
inferno13–3-0.0122%11 Jan →
nuke5–130.0235%8 Jan →
nuke13–6-0.0152%7 Jan →
mirage11–13-0.0316%6 Jan →
inferno13–9-0.0423%5 Jan →
dust214–16-0.0010%5 Jan →
inferno7–130.0128%5 Jan →
nuke13–70.1231%5 Jan →
nuke13–4-0.0113%5 Jan →
mirage2–130.0111%4 Jan →
inferno7–13-0.089%2 Jan →
nuke13–6-0.0025%2 Jan →
inferno10–13-0.0022%2 Jan →
inferno9–13-0.0236%1 Jan →
nuke11–13-0.0319%28 Dec →

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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