tnoiy socs

tnoiy socs — CS2 Stats

76561198310202898[U:1:349937170]Steam profile ↗✓ No bans

542Tracked matches52%Win rate2020Tracked since
CSDB Rating5.4 DevelopingAll-Rounder
Premier CS Rating15,733Purple band · top ~25.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (10 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: 15,733 +3,383 16 Sept – 26 Oct · 22 days played
10,48417,872peak 17,87216 Sept26 Oct
18,050Peak Premier in tracked matches
44Days played since 2024-09-16

Premier CS Rating

  • 2,139 below peak (17,872)
  • Next: Pink band at 20,000 — 4,267 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGtnoiy socsPREMIER15,733 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning56
Utility57

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLWLWLLTWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −5ms reaction

Win rate down 30pp 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 15%
  • Avg reaction 583ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 599ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.0
Utility5.7
Positioning5.6
Opening Duels3.8

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 622ms 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

Aim5.0
Positioning5.6
Utility5.7
Mechanics5.4
Opening Duels5.6
Win Impact5.6

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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time630ms+16ms
first ⅓ avg 615ms → last ⅓ avg 630ms
Headshot accuracy17.1%+2.8%
first ⅓ avg 14.3% → last ⅓ avg 17.1%

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

0.17Best match rating · 13–7 · vertigo, 16 Sept →
36%Best headshot accuracy · 3–13 · mirage, 22 Oct →
328msFastest reaction time · 0–8 · inferno, 8 Jun →
13–2Biggest win · inferno, 10 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 58% over 12anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2715–1256%0.00
dust2B147–750%-0.02
ancientA127–558%0.02
mirageC125–742%0.01
nukeA116–555%-0.01
anubisD92–722%-0.02
cacheA74–357%0.01
vertigoC52–340%0.01
train—22–0100%-0.00
overpass—10–10%-0.03

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.1%Headshot accuracy
31.7%Accuracy (enemy spotted)
35.5%Spray accuracy
74.5%Counter-strafing
11.4°Preaim
622msReaction time
54.1%T opening success
50.8%CT opening success
0.56Enemies flashed / flash
3.6%Flash assists
15.51HE damage / grenade
7.45Flashes / match

Recommended for you

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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0214%26 Oct →
ancient13–11-0.0116%26 Oct →
dust26–13-0.0314%25 Oct →
inferno13–3-0.0217%23 Oct →
cache8–130.0116%23 Oct →
ancient14–16-0.0312%23 Oct →
ancient15–150.0210%23 Oct →
inferno16–140.0816%23 Oct →
mirage3–130.0536%22 Oct →
ancient6–130.0611%22 Oct →
mirage7–130.0218%21 Oct →
cache13–80.0521%21 Oct →
ancient13–40.076%21 Oct →
cache13–30.1028%21 Oct →
cache7–13-0.037%20 Oct →
inferno3–13-0.0229%20 Oct →
cache13–9-0.0027%20 Oct →
inferno13–80.0629%15 Oct →
dust211–13-0.0510%14 Oct →
inferno13–50.018%14 Oct →
inferno13–9-0.0517%13 Oct →
cache9–13-0.0520%11 Oct →
cache16–13-0.0321%11 Oct →
inferno13–30.1324%11 Oct →
dust213–11-0.0115%24 Sept →
ancient16–13-0.0230%23 Sept →
mirage13–11-0.040%23 Sept →
inferno2–40.010%30 Aug →
mirage5–6-0.0215%3 Mar →
overpass8–13-0.0320%22 Feb →
inferno13–4-0.0320%21 Feb →
inferno13–11-0.027%21 Feb →
dust28–13-0.0329%21 Feb →
dust213–8-0.0223%21 Feb →
dust27–13-0.0417%18 Jan →
nuke13–9-0.0016%17 Jan →
ancient13–90.0615%17 Jan →
mirage13–40.075%1 Jan →
mirage13–60.0224%27 Dec →
train13–8-0.0026%27 Dec →
nuke7–130.0213%21 Dec →
ancient6–13-0.019%21 Dec →
dust213–80.0319%24 Nov →
ancient13–80.0818%24 Nov →
inferno13–40.027%24 Nov →
dust24–13-0.0014%24 Nov →
nuke13–9-0.048%24 Nov →
mirage10–130.0722%11 Nov →
nuke13–8-0.0310%11 Nov →
ancient5–130.0333%10 Nov →
inferno13–20.058%10 Nov →
nuke8–13-0.0519%25 Aug →
dust211–13-0.0017%24 Aug →
nuke2–13-0.0623%24 Jul →
mirage6–13-0.0315%23 Jul →
dust213–80.0319%23 Jul →
nuke13–4-0.0210%22 Jul →
train13–4-0.0110%22 Jul →
mirage13–9-0.0020%22 Jul →
inferno8–130.0419%22 Jul →
mirage13–60.0115%22 Jul →
ancient13–30.0525%22 Jul →
inferno14–160.0210%22 Jul →
inferno13–160.1018%21 Jul →
inferno13–5-0.0214%21 Jul →
dust214–16-0.0017%30 Jun →
anubis9–13-0.038%18 Jun →
nuke13–50.0522%17 Jun →
ancient13–10-0.0118%17 Jun →
anubis10–13-0.0710%16 Jun →
nuke13–16-0.048%9 Jun →
anubis8–13-0.0619%9 Jun →
inferno0–8-0.060%8 Jun →
inferno13–60.0118%8 Jun →
inferno0–3-0.110%6 Jun →
inferno4–13-0.0520%4 Jun →
anubis13–9-0.1112%4 Jun →
anubis12–160.0311%3 Jun →
dust213–9-0.035%2 Jun →
inferno9–13-0.0228%2 Jun →
anubis15–15-0.0023%2 Jun →
inferno13–110.0312%2 Jun →
nuke13–50.0319%2 Jun →
anubis11–130.007%2 Jun →
inferno5–13-0.0412%7 Nov →
anubis8–13-0.0217%7 Nov →
dust213–5-0.0210%7 Nov →
vertigo6–13-0.0315%6 Nov →
vertigo10–13-0.047%30 Sept →
inferno6–13-0.1220%30 Sept →
anubis13–110.099%30 Sept →
dust213–6-0.0417%30 Sept →
inferno13–10-0.0413%30 Sept →
mirage9–13-0.0524%30 Sept →
vertigo2–13-0.0822%30 Sept →
nuke6–130.0119%16 Sept →
vertigo13–70.1718%16 Sept →
vertigo13–60.0310%16 Sept →
inferno13–110.0415%16 Sept →
mirage7–13-0.0311%16 Sept →

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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