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VA76561198074295064[U:1:114029336]Steam profile ↗✓ No bans

761Tracked matches38%Win rate2022Tracked since
CSDB Rating4.2 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,288 -2,748 27 May – 22 Oct · 24 days played
17,72621,929peak 21,92927 May22 Oct
22,150Peak Premier in tracked matches
43Days played since 2025-05-19

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

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CSDB.GGIn hatsFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning49
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY43–55–2Last 10043%Win rateWLLWLLWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +3.5pp headshot accuracy · +91ms reaction

Win rate up 40pp 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 17%
  • Avg reaction 623ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 671ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 626ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim6.0
Utility2.7
Positioning4.9
Opening Duels1.7
Clutch4.0

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 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 638ms 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

Aim6.0
Positioning4.9
Utility2.7
Mechanics5.2
Opening Duels1.3
Win Impact1.0

Composite 4.2/10 (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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time642ms−56ms
first ⅓ avg 698ms → last ⅓ avg 642ms
Headshot accuracy20.6%−4.3%
first ⅓ avg 24.9% → last ⅓ avg 20.6%

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 · 13–1 · dust2, 8 Jul →
51%Best headshot accuracy · 13–1 · dust2, 8 Jul →
438msFastest reaction time · 15–15 · inferno, 6 Aug →
13–1Biggest win · inferno, 2 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
2–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 52% over 21nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2111–1052%0.01
dust2B2111–1052%0.03
mirageC208–1240%0.02
ancientD124–833%0.01
nukeD92–722%-0.01
anubisC73–443%-0.01
overpassD62–433%0.00
train—32–167%0.03
dogtown—10–10%-0.15

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

679Matches
51%Win rate
1.21Avg K/D
81.5ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7159%1.2015.8
Inferno4255%1.0914.2
Dust23247%1.0214.5
Anubis2245%1.3017.7
Ancient956%1.4617.8
Nuke850%1.1615.5
Cache850%1.1616.1
Vertigo650%1.1919.5

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.

20.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
38.2%Spray accuracy
73.4%Counter-strafing
10.6°Preaim
638msReaction time
35.5%T opening success
34.7%CT opening success
0.44Enemies flashed / flash
5.0%Flash assists
8.82HE damage / grenade
12.09Flashes / 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 0.4363 — 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 35.4823% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0418%14 Sept →
anubis5–130.0317%12 Sept →
mirage8–13-0.0219%4 Jul →
inferno13–10.1411%2 Jul →
ancient7–13-0.0621%22 Oct →
dust28–13-0.0522%20 Oct →
mirage13–90.0633%20 Oct →
ancient7–130.0423%19 Oct →
mirage13–11-0.0017%18 Oct →
inferno13–70.0329%7 Oct →
inferno3–9-0.1818%7 Oct →
nuke6–13-0.0121%5 Oct →
overpass10–130.0212%10 Sept →
mirage13–70.0119%10 Sept →
overpass11–13-0.0123%19 Aug →
ancient9–130.0225%19 Aug →
nuke12–16-0.0213%8 Aug →
inferno5–9-0.0117%8 Aug →
inferno15–150.0411%6 Aug →
inferno14–160.0216%6 Aug →
nuke13–10-0.0717%6 Aug →
dust213–70.0013%3 Aug →
inferno9–4-0.0033%3 Aug →
dogtown2–9-0.1525%3 Aug →
mirage13–60.0323%1 Aug →
overpass10–13-0.0114%1 Aug →
ancient0–13-0.0832%1 Aug →
nuke4–13-0.0618%1 Aug →
ancient4–13-0.0031%1 Aug →
mirage4–130.0428%1 Aug →
mirage10–13-0.0216%31 Jul →
mirage9–130.0323%31 Jul →
dust213–11-0.0122%31 Jul →
train13–40.0428%26 Jul →
anubis11–1-0.0332%26 Jul →
inferno13–100.0527%26 Jul →
dust211–13-0.0526%26 Jul →
nuke9–13-0.0037%25 Jul →
inferno16–13-0.0023%23 Jul →
dust24–13-0.0523%23 Jul →
dust213–80.007%23 Jul →
ancient13–7-0.0213%23 Jul →
dust213–80.0724%23 Jul →
dust213–10.0424%23 Jul →
mirage3–13-0.0421%22 Jul →
mirage10–130.0023%21 Jul →
ancient13–10.0719%21 Jul →
overpass13–8-0.0411%21 Jul →
dust213–20.0324%21 Jul →
overpass5–13-0.0618%20 Jul →
inferno7–90.0130%20 Jul →
dust213–160.0227%12 Jul →
ancient9–130.0423%8 Jul →
dust213–10.1651%8 Jul →
dust213–30.1320%8 Jul →
dust24–13-0.0435%6 Jul →
anubis8–13-0.0915%6 Jul →
dust28–130.1125%5 Jul →
dust25–130.0522%5 Jul →
nuke13–30.1013%4 Jul →
overpass13–50.1024%4 Jul →
inferno13–20.0114%4 Jul →
mirage6–13-0.0313%2 Jul →
ancient13–60.0922%2 Jul →
train13–20.1417%2 Jul →
mirage13–90.0726%2 Jul →
dust26–130.0522%2 Jul →
nuke6–13-0.0026%2 Jul →
ancient13–40.0320%1 Jul →
dust213–70.0531%1 Jul →
mirage13–60.1024%1 Jul →
anubis9–13-0.0526%30 Jun →
ancient7–13-0.0518%30 Jun →
dust213–90.0527%29 Jun →
ancient5–13-0.0228%29 Jun →
nuke2–13-0.0319%29 Jun →
dust211–130.0023%27 Jun →
inferno3–9-0.1222%27 Jun →
mirage11–130.0630%27 Jun →
inferno9–30.1421%25 Jun →
inferno8–130.0427%20 Jun →
anubis13–50.0236%20 Jun →
inferno13–100.0728%20 Jun →
train2–13-0.0818%20 Jun →
inferno13–50.0540%20 Jun →
mirage13–90.0724%20 Jun →
dust213–40.0627%20 Jun →
mirage4–130.0133%17 Jun →
dust210–130.0719%11 Jun →
inferno5–9-0.1116%10 Jun →
mirage13–60.0418%10 Jun →
mirage10–130.0430%9 Jun →
inferno8–80.0739%3 Jun →
inferno9–50.1427%3 Jun →
anubis6–130.0333%3 Jun →
anubis13–60.0417%3 Jun →
mirage13–16-0.0118%28 May →
nuke9–13-0.0224%27 May →
mirage7–13-0.0614%27 May →
inferno4–13-0.0218%19 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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