IInferno

IInferno — CS2 Stats

76561198158143565[U:1:197877837]Steam profile ↗✓ No bans

2,798Tracked matches58%Win rate2020Tracked since
CSDB Rating6.0 SolidClutch Specialist
CSDB Leaderboard#13185 of 228001 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 25 days played since 25 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 25,814 +2,261 25 Jun1 Jul · 4 days played
23,55325,814peak 25,81425 Jun1 Jul
25,814Peak Premier in tracked matches
25Days played since 2026-06-25

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

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CSDB.GGIInfernoFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning54
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY57367Last 10057%Win rateWLWLWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.7pp headshot accuracy · +39ms 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

  • 32 · 60% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 18%
  • Avg reaction 500ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

Last 20

  • 1163 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 521ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+4.5 against its own average).

Aim8.0
Utility1.6
Positioning5.4
Opening Duels5.0
Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 86% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

T-side openings. Opening success drops from 58% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0
Positioning5.4
Utility1.6
Mechanics7.2
Opening Duels4.4
Win Impact7.6

Composite 6.0/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time524ms−74ms
first ⅓ avg 598ms → last ⅓ avg 524ms
Headshot accuracy16.3%+0.0%
first ⅓ avg 16.3% → last ⅓ avg 16.3%

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 · 8–13 · overpass, 30 Aug
30%Best headshot accuracy · 13–9 · ancient, 16 Jul
414msFastest reaction time · 4–13 · office, 28 Aug
13–0Biggest win · shelter, 16 Jul

Across the last 100 tracked matches.

Highlights

9Longest win streak
57In matches decided by ≤2 rounds
3Overtime games

Map breakdown

shelterBest map · 80% over 5boulderWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S2416867%0.00
cacheC167944%0.02
ancientS129375%0.03
mirageS64267%-0.01
nukeB63350%0.01
boulderD62433%0.05
infernoC52340%0.05
vertigoA53260%0.01
anubisA53260%-0.01
shelterS54180%0.05
overpass43175%0.10
train2020%-0.04
office2020%-0.04
fachwerk21150%0.09

Across the last 100 tracked matches.

Faceit stats

Combat

63Matches
56%Win rate
1.45Avg K/D
75.4ADR
41%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke367%1.6118.0
Inferno250%0.8218.5
Anubis1100%0.9518.0
Mirage10%0.193.0
Overpass10%1.1219.0
Ancient10%1.1826.0

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.

16.3%Headshot accuracy
37.0%Accuracy (enemy spotted)
34.4%Spray accuracy
82.6%Counter-strafing
8.3°Preaim
521msReaction time
36.8%T opening success
58.1%CT opening success
0.13Enemies flashed / flash
3.4%Flash assists
14.40HE damage / grenade
0.21Flashes / 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 0.1285 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 36.7975% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–110.0113%3 Sept
ancient6–130.0120%3 Sept
cache13–80.1217%1 Sept
overpass8–130.1615%30 Aug
inferno13–110.0925%30 Aug
train4–13-0.0720%30 Aug
dust28–130.0319%30 Aug
mirage13–6-0.0320%30 Aug
cache13–30.159%30 Aug
ancient13–30.0019%30 Aug
nuke13–90.0117%29 Aug
dust213–30.1518%29 Aug
ancient13–100.0320%29 Aug
train12–12-0.0017%29 Aug
inferno12–120.1117%29 Aug
office7–13-0.0317%29 Aug
cache13–70.1317%28 Aug
vertigo13–10-0.0011%28 Aug
dust212–120.0320%28 Aug
office4–13-0.0516%28 Aug
ancient11–13-0.0118%28 Aug
vertigo13–60.0320%28 Aug
anubis3–130.0317%27 Aug
cache5–13-0.077%27 Aug
dust212–120.0320%27 Aug
overpass13–90.0720%6 Aug
nuke13–40.087%6 Aug
dust26–13-0.1219%6 Aug
mirage5–13-0.025%6 Aug
dust213–10-0.017%5 Aug
dust211–13-0.0621%5 Aug
anubis13–5-0.0315%30 Jul
vertigo7–13-0.0217%30 Jul
cache4–13-0.0323%30 Jul
ancient13–110.0519%30 Jul
dust213–80.0821%29 Jul
anubis8–13-0.0315%29 Jul
ancient13–11-0.0116%29 Jul
vertigo13–70.017%29 Jul
cache13–5-0.0418%29 Jul
inferno7–130.0319%24 Jul
mirage13–10.027%24 Jul
dust213–20.0328%24 Jul
nuke14–160.0316%24 Jul
dust213–40.088%24 Jul
dust213–100.0115%24 Jul
dust213–6-0.1010%22 Jul
dust213–30.0225%21 Jul
dust213–2-0.0119%21 Jul
inferno13–60.0612%16 Jul
ancient13–90.0430%16 Jul
nuke0–13-0.069%16 Jul
dust212–16-0.0613%16 Jul
boulder10–130.0717%16 Jul
shelter13–00.0015%16 Jul
overpass13–30.1614%15 Jul
cache10–13-0.0525%15 Jul
shelter13–50.0513%15 Jul
ancient13–70.0318%15 Jul
boulder13–80.0714%15 Jul
shelter4–130.0823%15 Jul
inferno10–13-0.0514%14 Jul
shelter13–40.0916%14 Jul
dust25–13-0.0623%14 Jul
nuke13–110.0920%14 Jul
vertigo12–120.0120%14 Jul
boulder5–13-0.0212%11 Jul
cache13–10.0820%11 Jul
cache13–30.0516%11 Jul
boulder6–130.0727%11 Jul
boulder13–80.0814%11 Jul
fachwerk13–80.1211%10 Jul
boulder12–120.0419%10 Jul
fachwerk12–120.0616%10 Jul
dust213–70.0413%10 Jul
shelter13–50.0415%10 Jul
cache11–13-0.0315%10 Jul
cache5–130.0219%8 Jul
cache8–13-0.0713%8 Jul
cache3–5-0.0422%8 Jul
dust213–9-0.0018%8 Jul
nuke4–13-0.0818%8 Jul
mirage9–13-0.0912%8 Jul
mirage13–50.0212%7 Jul
dust211–13-0.0315%7 Jul
dust213–50.0430%7 Jul
cache1–13-0.0114%7 Jul
anubis13–8-0.0111%1 Jul
ancient9–130.0518%28 Jun
anubis13–2-0.0322%27 Jun
dust216–12-0.0118%27 Jun
ancient13–00.0327%27 Jun
dust213–100.0012%27 Jun
mirage13–80.0511%27 Jun
overpass13–10.039%27 Jun
dust213–20.0714%27 Jun
dust213–9-0.0215%26 Jun
cache13–40.0513%26 Jun
cache11–130.1019%26 Jun
ancient13–50.119%25 Jun

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 →