messy snipes

messy snipes — CS2 Stats

NR76561198057441329[U:1:97175601]Steam profile ↗✓ No bans

682Tracked matches57%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating11,506Blue band · top ~46.9% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,506 +3,105 10 Oct – 12 Nov · 19 days played
8,40111,506peak 11,50610 Oct12 Nov
11,506Peak Premier in tracked matches
69Days played since 2026-05-22

Premier CS Rating

  • At peak — 11,506
  • +3,105 over 30 days · improving
  • Next: Purple band at 15,000 — 3,494 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-10-15

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

Share this profile

CSDB.GGmessy snipesFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER11,506 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning56
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWWLLWWTWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −8.1pp headshot accuracy · −6ms 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 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 555ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 540ms

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 (+2.6 against its own average).

Aim7.5
Utility6.9
Positioning5.6
Opening Duels1.9
Clutch3.0

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

sh1ro

Plays most like sh1ro 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 56% on T to 35% on CT — first contacts on the defending side are being lost.

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

Aim7.5
Positioning5.6
Utility6.9
Mechanics5.6
Opening Duels3.8
Win Impact7.4

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time550ms−84ms
first ⅓ avg 635ms → last ⅓ avg 550ms
Headshot accuracy19.7%+2.0%
first ⅓ avg 17.8% → last ⅓ avg 19.7%

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

0.11Best match rating · 13–9 · inferno, 26 Sept →
41%Best headshot accuracy · 12–12 · nuke, 9 Jun →
391msFastest reaction time · 7–13 · cache, 20 Jun →
13–1Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
9–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 58% over 26infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
cacheC3616–2044%-0.02
nukeA2615–1158%-0.03
mirageB126–650%-0.01
infernoD123–925%-0.02
dust2D103–730%-0.02
anubis—22–0100%0.03
ancient—20–20%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

684Matches
50%Win rate
0.96Avg K/D
73.1ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3845%0.8711.9
Nuke1856%1.2213.3
Inferno1662%0.6711.3
Dust21346%1.0514.5
Ancient956%0.9114.6
Anubis944%0.9113.1
Overpass580%0.8711.8
Vertigo250%1.2017.0

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.

19.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
42.2%Spray accuracy
75.1%Counter-strafing
9.2°Preaim
549msReaction time
55.8%T opening success
34.9%CT opening success
0.85Enemies flashed / flash
4.7%Flash assists
12.77HE damage / grenade
9.98Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.9312% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–20.0412%12 Nov →
nuke13–90.0512%11 Nov →
dust26–130.0424%5 Nov →
cache14–16-0.0424%3 Nov →
mirage13–5-0.0017%2 Nov →
anubis13–50.0317%2 Nov →
nuke15–150.008%1 Nov →
dust213–5-0.0216%31 Oct →
nuke13–9-0.0318%29 Oct →
inferno6–13-0.0813%28 Oct →
mirage8–13-0.0513%26 Oct →
cache13–50.0219%25 Oct →
cache13–9-0.0026%24 Oct →
mirage3–13-0.0323%24 Oct →
nuke13–11-0.0213%23 Oct →
ancient11–13-0.0517%22 Oct →
inferno13–11-0.0132%20 Oct →
cache13–70.0630%18 Oct →
inferno13–10.0431%16 Oct →
cache6–13-0.0439%16 Oct →
inferno12–160.0216%10 Oct →
dust213–7-0.0016%10 Oct →
mirage11–130.0119%9 Oct →
cache13–60.0222%8 Oct →
cache13–20.0322%7 Oct →
nuke9–13-0.0414%6 Oct →
nuke11–13-0.0217%5 Oct →
inferno15–15-0.0716%4 Oct →
cache3–13-0.0530%30 Sept →
inferno13–90.1123%26 Sept →
cache13–60.0620%26 Sept →
ancient10–130.0419%25 Sept →
mirage13–110.0212%15 Sept →
nuke13–90.0022%11 Sept →
dust213–70.0320%11 Sept →
mirage16–14-0.0219%10 Sept →
inferno9–13-0.0225%9 Sept →
dust211–13-0.0423%7 Sept →
mirage8–13-0.0015%6 Sept →
dust26–13-0.0435%6 Sept →
nuke13–10-0.0018%6 Sept →
inferno5–13-0.0319%5 Sept →
cache2–13-0.0339%2 Aug →
cache13–7-0.0711%28 Jul →
nuke13–100.0112%24 Jul →
cache4–13-0.126%14 Jul →
nuke13–110.0320%14 Jul →
cache13–40.0515%11 Jul →
dust24–13-0.0617%6 Jul →
cache11–13-0.0720%5 Jul →
inferno9–13-0.0725%4 Jul →
inferno3–13-0.0214%1 Jul →
cache13–110.0030%30 Jun →
nuke13–110.0023%30 Jun →
nuke7–13-0.1021%26 Jun →
mirage13–70.0312%25 Jun →
cache12–12-0.0517%25 Jun →
mirage5–13-0.0112%23 Jun →
nuke4–13-0.1236%22 Jun →
cache13–60.0024%22 Jun →
cache7–13-0.0725%20 Jun →
dust25–13-0.0513%18 Jun →
cache12–12-0.0419%17 Jun →
inferno7–13-0.0315%17 Jun →
cache6–13-0.0229%16 Jun →
nuke13–8-0.0216%16 Jun →
nuke13–7-0.0032%15 Jun →
mirage13–80.0724%14 Jun →
cache6–13-0.0915%14 Jun →
cache2–13-0.0513%13 Jun →
nuke11–13-0.0413%13 Jun →
nuke13–9-0.0017%12 Jun →
cache10–130.0712%12 Jun →
cache13–60.0620%11 Jun →
cache13–50.0622%10 Jun →
nuke13–7-0.0534%10 Jun →
nuke13–7-0.0114%9 Jun →
nuke12–12-0.0341%9 Jun →
nuke9–13-0.0921%8 Jun →
cache9–13-0.0621%8 Jun →
cache10–13-0.0121%7 Jun →
inferno4–13-0.0811%5 Jun →
mirage3–13-0.1011%28 May →
cache12–12-0.0717%28 May →
dust27–130.0032%28 May →
cache3–13-0.0814%28 May →
nuke2–13-0.085%28 May →
nuke13–11-0.0012%27 May →
cache13–110.0017%27 May →
nuke10–13-0.0324%26 May →
cache4–130.0216%26 May →
mirage13–5-0.0315%25 May →
cache4–13-0.0120%25 May →
dust210–13-0.087%24 May →
cache8–13-0.0211%24 May →
cache13–9-0.0417%23 May →
cache13–20.0622%22 May →
nuke13–10-0.0819%22 May →
cache13–3-0.0118%22 May →
nuke7–9-0.0814%22 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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