S1.

S1. — CS2 Stats

FI76561199224171846[U:1:1263906118]Steam profile ↗✓ No bans

3,375Tracked matches45%Win rate2022Tracked since
CSDB Rating5.3 DevelopingSupport
FaceitLevel 10 · 2,263 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGS1.FACEITLevel 10 · 2,263 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

HOT40–53–7Last 10040%Win rateWWWLWWLWWW

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating · +0.7pp headshot accuracy · −1ms reaction

Win rate up 50pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 533ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

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 (+0.9 against its own average).

Aim6.6
Utility5.6
Positioning5.2
Opening Duels4.7
Clutch3.4

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

m0NESY

Plays most like m0NESY 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 56% on CT to 35% 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

Aim6.6
Positioning5.2
Utility5.6
Mechanics4.6
Opening Duels3.8
Win Impact3.3

Composite 5.3/10 (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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time555ms−4ms
first ⅓ avg 559ms → last ⅓ avg 555ms
Headshot accuracy17.5%+1.7%
first ⅓ avg 15.8% → last ⅓ avg 17.5%

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

0.34Best match rating · 9–5 · debris, 16 Jul →
44%Best headshot accuracy · 9–4 · poseidon, 28 Aug →
359msFastest reaction time · 4–13 · anubis, 23 Jul →
13–4Biggest win · mirage, 1 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
4–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 75% over 8anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD175–1229%0.00
debrisB157–847%0.01
nukeC135–838%-0.03
ancientB105–550%-0.02
vertigoC83–538%0.03
mirageS86–275%0.01
eldoradoD71–614%-0.02
poseidonB63–350%0.03
cacheC52–340%0.01
anubisD50–50%0.03
dust2—10–10%-0.07
train—10–10%0.11
overpass—10–10%0.05
fachwerk—11–0100%0.01
boulder—11–0100%0.01
shelter—11–0100%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,931Matches
50%Win rate
1.06Avg K/D
78.1ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage49846%1.0315.3
Ancient29747%1.0316.0
Anubis26655%1.1417.0
Nuke23856%1.0716.6
Dust221551%1.0415.3
Inferno17049%1.0315.3
Overpass6949%1.1718.5
Train4255%1.1217.1

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.

14.8%Headshot accuracy
38.0%Accuracy (enemy spotted)
44.3%Spray accuracy
70.5%Counter-strafing
12.1°Preaim
544msReaction time
34.8%T opening success
55.9%CT opening success
0.55Enemies flashed / flash
7.4%Flash assists
6.20HE damage / grenade
11.73Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0834° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7535% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
debris9–3-0.033%13 Oct →
inferno9–60.1322%12 Oct →
nuke13–90.0421%12 Oct →
inferno7–90.0416%7 Oct →
vertigo9–4-0.0414%26 Sept →
inferno9–10.128%18 Sept →
poseidon1–9-0.1531%18 Sept →
debris9–70.1121%18 Sept →
inferno9–30.0626%18 Sept →
nuke9–60.0212%18 Sept →
inferno10–13-0.0220%12 Sept →
debris9–50.0517%12 Sept →
debris7–9-0.029%9 Sept →
nuke4–9-0.0219%9 Sept →
vertigo2–9-0.0418%9 Sept →
mirage9–130.0318%9 Sept →
inferno9–30.1817%9 Sept →
nuke13–9-0.0713%3 Sept →
nuke6–13-0.0214%3 Sept →
inferno5–13-0.0422%1 Sept →
cache6–13-0.0115%31 Aug →
mirage13–9-0.0110%29 Aug →
vertigo6–9-0.0814%28 Aug →
inferno3–9-0.1230%28 Aug →
eldorado1–9-0.1833%28 Aug →
nuke7–9-0.0510%28 Aug →
poseidon9–40.2044%28 Aug →
cache13–50.017%27 Aug →
mirage19–15-0.0012%27 Aug →
ancient13–10-0.0611%25 Aug →
anubis10–130.0225%22 Aug →
dust21–13-0.0711%22 Aug →
inferno6–90.0717%13 Aug →
vertigo9–20.2416%13 Aug →
inferno0–9-0.2120%13 Aug →
debris9–60.1616%13 Aug →
nuke1–9-0.1544%13 Aug →
poseidon9–70.1513%13 Aug →
nuke7–130.0225%13 Aug →
train11–130.1112%12 Aug →
ancient13–8-0.047%9 Aug →
anubis15–19-0.0115%9 Aug →
debris4–9-0.0017%6 Aug →
inferno4–9-0.036%6 Aug →
vertigo10–130.0026%5 Aug →
ancient13–7-0.0312%1 Aug →
nuke13–5-0.0215%1 Aug →
mirage13–40.0512%1 Aug →
inferno13–16-0.0113%31 Jul →
ancient9–130.0220%31 Jul →
cache9–13-0.0513%30 Jul →
cache13–100.0710%30 Jul →
poseidon0–9-0.1714%30 Jul →
inferno3–9-0.2119%30 Jul →
overpass8–80.0511%30 Jul →
debris7–9-0.036%30 Jul →
eldorado6–9-0.034%30 Jul →
vertigo9–40.1622%30 Jul →
inferno9–20.1125%30 Jul →
nuke4–9-0.088%30 Jul →
poseidon8–80.0236%30 Jul →
vertigo12–120.0518%30 Jul →
ancient13–8-0.013%29 Jul →
ancient13–100.0114%28 Jul →
debris9–6-0.0220%23 Jul →
anubis11–130.0913%23 Jul →
anubis9–130.0716%23 Jul →
anubis4–13-0.046%23 Jul →
ancient8–13-0.0330%22 Jul →
debris0–9-0.2220%22 Jul →
eldorado8–8-0.0410%22 Jul →
ancient4–13-0.0317%22 Jul →
mirage6–13-0.059%16 Jul →
nuke9–5-0.1727%16 Jul →
poseidon9–20.1144%16 Jul →
inferno8–8-0.0513%16 Jul →
debris9–50.3413%16 Jul →
eldorado6–90.0216%16 Jul →
nuke9–13-0.0012%15 Jul →
inferno13–16-0.0122%15 Jul →
mirage13–110.0219%15 Jul →
ancient14–16-0.0415%14 Jul →
mirage13–9-0.046%13 Jul →
nuke1–30.1440%10 Jul →
inferno6–90.0312%10 Jul →
debris5–9-0.100%10 Jul →
eldorado7–90.0211%10 Jul →
eldorado8–8-0.029%10 Jul →
debris8–8-0.014%10 Jul →
debris5–90.0313%10 Jul →
debris3–9-0.1211%10 Jul →
vertigo6–9-0.0521%10 Jul →
fachwerk13–90.0112%9 Jul →
boulder13–100.0117%9 Jul →
shelter13–5-0.0311%9 Jul →
debris9–6-0.0015%9 Jul →
eldorado9–70.1223%9 Jul →
ancient0–13-0.0110%9 Jul →
cache9–130.0320%9 Jul →
mirage13–100.0813%9 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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