inEquity

inEquity — CS2 Stats

US76561198207949419[U:1:247683691]Steam profile ↗✓ No bans

2,396Tracked matches55%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,479 -1,635 2 Nov – 25 Nov · 18 days played
14,53819,114peak 19,1142 Nov25 Nov
19,493Peak Premier in tracked matches
22Days played since 2025-11-01

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

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CSDB.GGinEquityFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateWLLTWWLWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.0pp headshot accuracy · −103ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 655ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 627ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 678ms

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 (+3.3 against its own average).

Aim6.3
Utility6.0
Positioning4.2
Opening Duels0.0
Clutch0.8

Effective flashes

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 675ms 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

Aim6.3
Positioning4.2
Utility6.0
Mechanics7.5
Opening Duels0.0
Win Impact6.7

Composite 5.4/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time678ms+9ms
first ⅓ avg 669ms → last ⅓ avg 678ms
Headshot accuracy18.5%−0.5%
first ⅓ avg 19.0% → last ⅓ avg 18.5%

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

0.19Best match rating · 13–4 · train, 1 Nov →
38%Best headshot accuracy · 13–3 · train, 2 Nov →
469msFastest reaction time · 13–9 · ancient, 13 Nov →
13–0Biggest win · dust2, 4 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 59% over 17infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientA1810–856%0.04
nukeA1710–759%0.04
mirageB168–850%0.03
dust2C145–936%0.02
infernoD134–931%0.01
trainB126–650%0.04
overpassB63–350%0.01
anubis—21–150%0.00
office—10–10%-0.00
vertigo—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

756Matches
50%Win rate
1.35Avg K/D
76.2ADR
49%Headshot %

Clutches & streaks

24%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage14850%1.2115.3
Vertigo12538%1.3817.8
Anubis12451%1.4618.0
Nuke9455%1.4815.7
Inferno7551%1.3616.9
Ancient7049%1.2415.2
Overpass5366%1.4817.5
Dust21362%1.1613.0

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.

18.2%Headshot accuracy
36.2%Accuracy (enemy spotted)
35.4%Spray accuracy
84.0%Counter-strafing
11.0°Preaim
675msReaction time
26.1%T opening success
21.7%CT opening success
0.77Enemies flashed / flash
5.4%Flash assists
8.83HE damage / grenade
11.17Flashes / 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. 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 26.087% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0220%22 Apr →
nuke9–13-0.0514%22 Apr →
inferno6–130.0219%22 Apr →
anubis15–150.0218%19 Apr →
nuke13–90.0118%25 Nov →
ancient13–50.0118%25 Nov →
mirage8–130.0314%25 Nov →
ancient13–80.0719%25 Nov →
ancient13–100.0325%24 Nov →
train7–130.0122%24 Nov →
nuke13–40.0621%24 Nov →
inferno3–13-0.0312%24 Nov →
inferno6–13-0.0515%19 Nov →
train9–13-0.0527%19 Nov →
train13–10.0331%18 Nov →
inferno13–30.1527%17 Nov →
mirage13–6-0.0612%17 Nov →
ancient2–130.0034%15 Nov →
train13–10-0.059%15 Nov →
mirage13–50.0718%14 Nov →
ancient13–40.0712%14 Nov →
inferno9–130.0117%14 Nov →
nuke13–40.0721%14 Nov →
mirage11–13-0.0013%14 Nov →
ancient9–13-0.0315%14 Nov →
dust211–130.0324%13 Nov →
dust23–13-0.0617%13 Nov →
ancient13–8-0.0213%13 Nov →
overpass13–6-0.0321%13 Nov →
dust213–50.0912%13 Nov →
ancient13–9-0.0117%13 Nov →
ancient16–140.0917%13 Nov →
train7–13-0.0121%13 Nov →
nuke13–110.0618%13 Nov →
ancient13–80.0313%12 Nov →
mirage13–90.0621%12 Nov →
dust211–130.0529%12 Nov →
nuke13–30.0913%12 Nov →
overpass13–110.0120%12 Nov →
mirage13–60.1132%12 Nov →
mirage13–100.0226%12 Nov →
mirage12–120.1115%11 Nov →
inferno11–13-0.067%11 Nov →
nuke13–30.1332%11 Nov →
train13–90.0314%10 Nov →
dust213–110.079%10 Nov →
nuke13–30.129%10 Nov →
office8–13-0.0020%10 Nov →
inferno13–90.0711%10 Nov →
vertigo13–40.0016%9 Nov →
ancient13–100.1017%9 Nov →
mirage9–130.0417%9 Nov →
train12–120.0517%8 Nov →
nuke15–150.049%8 Nov →
train13–60.0428%8 Nov →
inferno11–130.0123%8 Nov →
nuke13–100.0111%7 Nov →
ancient12–160.0115%7 Nov →
ancient13–90.0326%7 Nov →
inferno13–10-0.0316%6 Nov →
dust210–130.0611%6 Nov →
dust213–50.0818%6 Nov →
overpass11–130.0113%6 Nov →
mirage13–6-0.0031%6 Nov →
dust24–13-0.075%6 Nov →
mirage9–130.0815%5 Nov →
overpass13–100.0320%5 Nov →
dust25–13-0.0313%5 Nov →
ancient9–130.0716%5 Nov →
ancient9–130.1232%5 Nov →
mirage13–40.0114%5 Nov →
nuke6–130.0526%5 Nov →
nuke15–150.0311%4 Nov →
ancient9–130.0617%4 Nov →
mirage11–130.0317%4 Nov →
overpass11–130.0225%4 Nov →
mirage13–5-0.066%4 Nov →
dust24–13-0.0114%4 Nov →
dust213–00.1127%4 Nov →
inferno10–13-0.0223%4 Nov →
nuke10–130.0323%4 Nov →
inferno13–30.0421%4 Nov →
nuke13–110.0829%4 Nov →
inferno5–130.0118%3 Nov →
mirage7–13-0.0415%3 Nov →
nuke10–130.0123%3 Nov →
ancient9–130.0412%3 Nov →
inferno6–13-0.045%3 Nov →
mirage1–90.010%3 Nov →
dust213–70.0622%3 Nov →
nuke9–13-0.0323%3 Nov →
dust26–13-0.0215%3 Nov →
overpass7–13-0.0117%2 Nov →
dust210–13-0.0425%2 Nov →
train13–30.0838%2 Nov →
train13–40.1928%1 Nov →
ancient1–13-0.0318%1 Nov →
anubis13–3-0.0124%1 Nov →
train11–130.1016%1 Nov →
train9–130.0613%1 Nov →

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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