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76561198120948780[U:1:160683052]Steam profile ↗✓ No bans

293Tracked matches62%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
CSDB Leaderboard#62655 of 251934 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 293
+3.4ppWin rate · 58.6% → 62.1%

Rating over time

Premier CS Rating: 21,384 -1,592 16 Mar – 31 Aug · 9 days played
21,38424,141peak 24,14116 Mar31 Aug
24,249Peak Premier in tracked matches
29Days played since 2023-09-20

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

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

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Performance scores

Aim82
Positioning63
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateWLWWLTLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +3.7pp headshot accuracy · −41ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 32%
  • Avg reaction 549ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 534ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 554ms

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 (+1.8 against its own average).

Aim8.2
Utility3.9
Positioning6.3
Opening Duels5.1
Clutch2.6

Excellent counter-strafing

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 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

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 55% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim8.2
Positioning6.3
Utility3.9
Mechanics9.0
Opening Duels4.3
Win Impact9.0

Composite 7.0/10 (Strong), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time554ms−15ms
first ⅓ avg 569ms → last ⅓ avg 554ms
Headshot accuracy28.2%+5.7%
first ⅓ avg 22.5% → last ⅓ avg 28.2%

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

0.23Best match rating · 9–1 · nuke, 28 Sept →
52%Best headshot accuracy · 10–13 · nuke, 15 Mar →
430msFastest reaction time · 13–6 · mirage, 25 Sept →
13–0Biggest win · vertigo, 27 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 80% over 5infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageS3222–1069%-0.01
overpassB1910–953%0.01
infernoD164–1225%-0.03
nukeC94–544%0.04
dust2A85–363%-0.01
ancientS54–180%0.01
anubis—42–250%-0.02
train—31–233%-0.03
vertigo—33–0100%0.10
cache—11–0100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches
56%Win rate
1.12Avg K/D
71.1ADR
51%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage650%1.5515.0
Dust2475%0.9212.3
Cache333%0.9414.0
Anubis3100%0.9711.3
Overpass1100%1.0715.0

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.

28.6%Headshot accuracy
31.9%Accuracy (enemy spotted)
28.1%Spray accuracy
90.4%Counter-strafing
9.1°Preaim
563msReaction time
39.5%T opening success
55.0%CT opening success
0.46Enemies flashed / flash
9.2%Flash assists
4.14HE damage / grenade
7.22Flashes / 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 0.4599 — 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 39.5231% — 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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0532%26 Sept →
mirage11–13-0.0332%3 Jul →
dust213–5-0.0327%3 Jul →
cache13–40.0735%10 May →
overpass11–130.0132%3 Apr →
inferno15–150.0035%29 Mar →
mirage10–13-0.0720%29 Mar →
ancient13–16-0.0123%25 Mar →
dust213–10-0.0141%25 Mar →
ancient13–20.0226%19 Mar →
anubis7–130.0017%19 Mar →
mirage13–100.0123%19 Mar →
overpass10–13-0.0234%18 Mar →
dust27–130.0430%18 Mar →
mirage13–80.0219%18 Mar →
inferno11–130.0127%18 Mar →
dust212–16-0.0425%17 Mar →
anubis13–60.0329%17 Mar →
ancient13–10-0.0140%17 Mar →
mirage16–13-0.0621%16 Mar →
dust216–14-0.0315%16 Mar →
mirage10–13-0.0520%16 Mar →
ancient13–2-0.0116%16 Mar →
dust213–11-0.0433%16 Mar →
overpass13–11-0.0029%15 Mar →
mirage13–20.0336%15 Mar →
inferno13–110.0331%15 Mar →
mirage13–80.0026%15 Mar →
mirage13–40.0435%15 Mar →
nuke10–130.0152%15 Mar →
dust28–13-0.0124%8 Feb →
inferno10–13-0.0719%8 Feb →
mirage13–50.0926%8 Feb →
mirage13–9-0.0121%7 Feb →
dust213–6-0.0115%7 Feb →
mirage13–5-0.069%7 Feb →
mirage15–150.0132%7 Feb →
inferno11–13-0.0722%7 Feb →
nuke3–13-0.0226%27 Sept →
inferno5–13-0.0911%27 Sept →
mirage13–6-0.0223%27 Sept →
mirage16–14-0.0225%25 Sept →
overpass7–13-0.0614%25 Sept →
mirage16–14-0.0223%25 Sept →
overpass10–13-0.0039%25 Sept →
inferno13–5-0.1116%25 Sept →
mirage11–13-0.0617%25 Sept →
train3–13-0.0223%11 Sept →
mirage16–14-0.0520%11 Sept →
train4–13-0.0524%6 Apr →
inferno4–13-0.0736%31 Mar →
train13–8-0.0038%6 Mar →
mirage13–5-0.0325%6 Mar →
mirage10–13-0.0716%6 Mar →
anubis16–12-0.0821%22 Feb →
mirage5–13-0.0533%22 Feb →
overpass13–8-0.0124%11 Feb →
mirage8–13-0.0323%20 Oct →
overpass13–70.0412%28 Sept →
mirage13–70.0216%28 Sept →
overpass13–70.0121%28 Sept →
mirage13–100.0915%28 Sept →
nuke13–10.1317%28 Sept →
overpass8–80.028%28 Sept →
overpass9–00.1533%28 Sept →
nuke9–10.2328%28 Sept →
vertigo9–10.2225%28 Sept →
overpass9–50.0532%28 Sept →
nuke6–130.0024%28 Sept →
inferno13–60.0014%28 Sept →
nuke13–10.0436%28 Sept →
mirage13–10.0928%28 Sept →
inferno8–13-0.038%27 Sept →
mirage13–30.0519%27 Sept →
vertigo13–00.0929%27 Sept →
mirage7–130.0322%26 Sept →
overpass16–120.0432%26 Sept →
inferno7–13-0.0447%26 Sept →
nuke2–13-0.0431%26 Sept →
overpass13–90.0135%26 Sept →
inferno3–50.0927%26 Sept →
overpass5–0-0.0215%26 Sept →
overpass7–10.0817%26 Sept →
nuke15–15-0.0127%25 Sept →
anubis3–13-0.0519%25 Sept →
mirage16–13-0.0127%25 Sept →
overpass10–13-0.0721%25 Sept →
mirage13–60.0644%25 Sept →
overpass7–13-0.0014%25 Sept →
mirage16–14-0.008%25 Sept →
inferno9–13-0.0112%23 Sept →
vertigo1–00.000%23 Sept →
overpass6–13-0.0523%23 Sept →
mirage5–13-0.0917%23 Sept →
mirage13–9-0.0114%23 Sept →
ancient13–60.0619%21 Sept →
inferno11–13-0.0111%21 Sept →
overpass11–13-0.0230%20 Sept →
nuke16–140.0127%20 Sept →
inferno10–13-0.0312%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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