tupsik

tupsik — CS2 Stats

EE76561199216153498[U:1:1255887770]Steam profile ↗✓ No bans

1,524Tracked matches25%Win rate2021Tracked since
1,976Hours in CS11Hrs last 2 wks
CSDB Rating1.8 LearningPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 5,993 -2,466 26 Feb – 30 Jun · 17 days played
5,5229,954peak 9,95426 Feb30 Jun
9,954Peak Premier in tracked matches
35Days played since 2025-02-26

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

Performance scores

Aim24
Positioning29
Utility8

0–100 skill scores via Leetify.

Recent form

COLD35–58–7Last 10035%Win rateWLLLLLLLLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −3.2pp headshot accuracy · +14ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 13%
  • Avg reaction 680ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 12%
  • Avg reaction 709ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 702ms

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 (+2 against its own average).

Aim2.4
Utility0.8
Positioning2.9
Opening Duels0.0
Clutch0.0

Limited utility dependence

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

jL

Plays most like jL 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 702ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.4
Positioning2.9
Utility0.8
Mechanics2.7
Opening Duels0.0
Win Impact0.0

Composite 1.8/10 (Learning), 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-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time693ms+1ms
first ⅓ avg 692ms → last ⅓ avg 693ms
Headshot accuracy14.6%+0.8%
first ⅓ avg 13.8% → last ⅓ avg 14.6%

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

0.12Best match rating · 13–6 · mirage, 24 Jun →
44%Best headshot accuracy · 4–13 · mirage, 4 Oct →
406msFastest reaction time · 13–3 · mirage, 29 Jul →
13–0Biggest win · anubis, 2 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 69% over 13vertigoWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
mirageD266–2023%-0.03
nukeD144–1029%-0.01
infernoS139–469%-0.04
vertigoD90–90%-0.04
dust2D82–625%-0.04
ancientA74–357%-0.01
anubisA74–357%-0.02
officeD50–50%-0.06
overpass—42–250%0.00
train—31–233%-0.03
shelter—11–0100%-0.04
cache—11–0100%-0.04
golden—10–10%-0.05
italy—11–0100%-0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,951Lifetime kills
0.82K/D
2,197Matches
40.1%Match win rate
43.2%Headshot %
8.3%Shot accuracy
3,832MVPs
964Hours (in match)
2,366Bombs planted
377Bombs defused

Most-used weapons

Lifetime map wins

2,674inferno
2,190vertigo
2,050nuke
1,533dust2
774office
312train
108lake
104cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

49Matches
61%Win rate
1.06Avg K/D
64.4ADR
48%Headshot %

Clutches & streaks

20%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1794%1.3615.9
Inferno850%0.8215.0
Dust2540%0.7613.6
Anubis520%0.9220.0
Nuke4100%1.5820.0
Vertigo333%0.8113.7
Ancient20%0.508.5
Overpass1100%1.2922.0

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.

13.7%Headshot accuracy
27.1%Accuracy (enemy spotted)
30.1%Spray accuracy
62.2%Counter-strafing
9.7°Preaim
702msReaction time
27.2%T opening success
21.8%CT opening success
0.20Enemies flashed / flash
0.6%Flash assists
5.38HE damage / grenade
2.45Flashes / 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. 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 13.6687% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 701.7872ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.1992 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
shelter13–7-0.0417%29 Sept →
office8–13-0.129%29 Sept →
dust210–13-0.0717%29 Sept →
vertigo9–13-0.087%29 Sept →
mirage8–13-0.0914%29 Sept →
nuke3–13-0.094%29 Sept →
train3–13-0.080%29 Sept →
vertigo11–13-0.0816%29 Sept →
ancient3–13-0.0923%29 Sept →
dust213–1-0.048%29 Sept →
ancient13–50.016%29 Sept →
vertigo12–12-0.0119%29 Sept →
cache13–1-0.0425%29 Sept →
office5–13-0.0711%29 Sept →
vertigo1–13-0.1018%29 Sept →
vertigo11–13-0.0219%29 Sept →
office8–13-0.0310%28 Feb →
mirage4–13-0.1114%25 Oct →
dust20–13-0.0514%25 Oct →
vertigo11–130.0312%25 Oct →
mirage9–13-0.066%17 Oct →
mirage12–12-0.0111%11 Oct →
mirage4–130.0444%4 Oct →
golden10–13-0.059%4 Oct →
nuke8–13-0.078%1 Oct →
mirage3–13-0.0615%30 Sept →
inferno13–80.037%30 Sept →
anubis13–70.0433%20 Aug →
mirage11–13-0.0516%18 Aug →
nuke13–10-0.0419%18 Aug →
overpass15–15-0.0923%18 Aug →
inferno7–13-0.0813%1 Aug →
dust211–130.0117%1 Aug →
mirage9–13-0.0513%31 Jul →
train16–140.0014%30 Jul →
nuke5–13-0.0417%30 Jul →
mirage10–13-0.0515%29 Jul →
inferno7–13-0.0413%29 Jul →
overpass10–130.0718%29 Jul →
mirage13–30.0230%29 Jul →
train6–13-0.0221%29 Jul →
overpass13–110.0116%29 Jul →
overpass13–50.0213%21 Jul →
nuke13–20.0913%21 Jul →
mirage13–70.0326%21 Jul →
anubis13–4-0.1111%2 Jul →
mirage1–7-0.0518%1 Jul →
office12–12-0.0916%1 Jul →
ancient9–13-0.0317%30 Jun →
vertigo8–13-0.0814%30 Jun →
inferno13–60.0613%29 Jun →
anubis13–7-0.036%24 Jun →
mirage13–60.1216%24 Jun →
inferno13–9-0.046%4 May →
vertigo5–13-0.0313%11 Apr →
inferno13–9-0.1117%11 Apr →
mirage4–130.0113%11 Apr →
mirage6–13-0.046%24 Mar →
nuke11–13-0.0020%24 Mar →
ancient15–15-0.0418%24 Mar →
mirage5–13-0.1017%22 Mar →
nuke13–100.0015%21 Mar →
mirage1–13-0.0811%21 Mar →
anubis2–130.0031%21 Mar →
ancient13–80.0011%21 Mar →
italy13–11-0.016%20 Mar →
vertigo10–130.0015%20 Mar →
anubis10–13-0.0319%20 Mar →
office12–120.0114%20 Mar →
nuke8–130.0110%19 Mar →
inferno13–11-0.0716%19 Mar →
mirage13–10-0.0218%19 Mar →
mirage7–13-0.0218%14 Mar →
nuke12–16-0.0114%13 Mar →
nuke7–13-0.0310%12 Mar →
inferno9–13-0.0612%12 Mar →
mirage10–13-0.035%12 Mar →
anubis10–13-0.078%12 Mar →
inferno16–13-0.0215%10 Mar →
mirage3–13-0.0311%10 Mar →
nuke11–130.0314%10 Mar →
dust211–13-0.0338%10 Mar →
ancient13–80.0322%9 Mar →
inferno13–5-0.053%9 Mar →
dust23–13-0.0811%9 Mar →
mirage3–13-0.049%9 Mar →
inferno13–11-0.0714%2 Mar →
nuke13–9-0.0113%2 Mar →
dust24–13-0.1114%2 Mar →
nuke14–160.0812%2 Mar →
anubis13–00.0521%2 Mar →
mirage13–100.0214%2 Mar →
mirage13–6-0.026%2 Mar →
mirage8–130.0113%28 Feb →
ancient13–80.0820%28 Feb →
dust213–110.0516%28 Feb →
inferno9–13-0.0212%28 Feb →
nuke15–15-0.0714%26 Feb →
inferno13–5-0.0714%26 Feb →
mirage7–13-0.078%26 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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