sTanNiii

sTanNiii — CS2 Stats

DE76561198058889618[U:1:98623890]Steam profile ↗✓ No bans

1,557Tracked matches53%Win rate2023Tracked since
2,818Hours in CS32Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating14,500Blue band · top ~31% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (yesterday). 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: 14,500 +4,501 26 Jul – 10 Nov · 34 days played
9,99915,489peak 15,48926 Jul10 Nov
15,489Peak Premier in tracked matches
38Days played since 2026-07-25

Premier CS Rating

  • 989 below peak (15,489)
  • +2,267 over 90 days
  • Next: Purple band at 15,000 — 500 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-24
  • Light Blue band first seen 2026-09-24

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate38.8%42.0%44.4%5.6% short
Shot accuracy11.4%9.6%11.9%0.5% short
Kill/death ratio1.110.981.03above
Match win rate50.0%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsTanNiiiPREMIER14,500 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning61
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLLWWWWLLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +2.3pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 519ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 558ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 551ms

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 (+2.4 against its own average).

Aim6.8
Utility5.3
Positioning6.1
Opening Duels3.5
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 90% 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. 555ms 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

Aim6.8
Positioning6.1
Utility5.3
Mechanics6.5
Opening Duels4.5
Win Impact6.1

Composite 5.8/10 (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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time548ms−74ms
first ⅓ avg 623ms → last ⅓ avg 548ms
Headshot accuracy15.2%−3.8%
first ⅓ avg 18.9% → last ⅓ avg 15.2%

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

0.15Best match rating · 8–13 · mirage, 2 Nov →
48%Best headshot accuracy · 13–8 · inferno, 9 Aug →
438msFastest reaction time · 11–13 · inferno, 4 Nov →
13–0Biggest win · mirage, 13 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak
7–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 86% over 7nukeWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B3719–1851%0.01
nukeB157–847%-0.01
cacheB126–650%-0.01
infernoB126–650%0.03
mirageB105–550%0.02
ancientS76–186%0.02
anubisB63–350%0.04
train—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,824Lifetime kills
1.11K/D · Top 25% of Blue band
3,649Matches
50.0%Match win rate · Top 10% of Blue band
38.8%Headshot %
11.4%Shot accuracy · Top 50% of Blue band
8,885MVPs
1,522Hours (in match)
3,072Bombs planted
906Bombs defused

Most-used weapons

AK-4724,159
AWP6,367
P901,653
Tec-91,540
MP91,480
P2501,454

Lifetime map wins

21,055dust2
3,370inferno
2,488nuke
1,230vertigo
210cbble
207train
131office
82safehouse

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

Faceit stats

Combat

18Matches
72%Win rate
1.54Avg K/D
75.1ADR
25%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

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.

14.5%Headshot accuracy
33.6%Accuracy (enemy spotted)
32.9%Spray accuracy
79.1%Counter-strafing
8.1°Preaim
555msReaction time
49.2%T opening success
47.0%CT opening success
0.47Enemies flashed / flash
6.4%Flash assists
10.89HE damage / grenade
4.13Flashes / 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 14.5069% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4713 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–90.1015%10 Nov →
mirage11–130.086%10 Nov →
nuke5–13-0.0413%10 Nov →
dust213–100.0422%9 Nov →
anubis13–90.0921%9 Nov →
dust216–13-0.0216%8 Nov →
cache13–10-0.0021%8 Nov →
ancient10–13-0.0111%8 Nov →
dust28–13-0.0025%8 Nov →
cache6–13-0.0814%6 Nov →
dust27–13-0.0119%6 Nov →
dust29–130.0117%6 Nov →
dust213–80.0319%6 Nov →
anubis5–130.005%6 Nov →
dust23–13-0.0113%6 Nov →
cache13–8-0.0615%5 Nov →
ancient13–60.0910%5 Nov →
nuke13–50.0622%5 Nov →
anubis13–60.049%5 Nov →
inferno11–130.0113%4 Nov →
dust211–13-0.0115%4 Nov →
nuke13–30.0310%4 Nov →
cache13–80.1313%3 Nov →
cache13–10-0.0318%3 Nov →
mirage8–130.159%2 Nov →
dust213–90.0224%2 Nov →
ancient13–11-0.0212%1 Nov →
anubis9–13-0.040%1 Nov →
cache13–60.1017%1 Nov →
nuke9–13-0.079%1 Nov →
inferno13–100.0414%31 Oct →
cache13–10.0424%30 Oct →
nuke13–90.0131%30 Oct →
ancient13–8-0.0217%30 Oct →
mirage8–13-0.0216%30 Oct →
inferno13–110.1421%28 Oct →
nuke1–13-0.1120%28 Oct →
dust213–5-0.0417%28 Oct →
dust27–13-0.0612%28 Oct →
dust25–13-0.035%23 Oct →
dust213–90.0529%23 Oct →
mirage10–13-0.0515%23 Oct →
mirage3–13-0.0911%23 Oct →
cache5–13-0.0411%18 Oct →
nuke10–130.0421%22 Sept →
mirage13–110.019%22 Sept →
nuke13–80.0415%19 Sept →
dust213–7-0.0411%19 Sept →
nuke4–13-0.0311%19 Sept →
anubis10–130.0720%18 Sept →
cache7–130.0216%18 Sept →
dust213–50.0413%18 Sept →
dust213–60.1021%16 Sept →
mirage13–00.0113%13 Sept →
dust210–13-0.0916%13 Sept →
dust213–110.0716%6 Sept →
dust27–13-0.0526%6 Sept →
cache2–13-0.0414%5 Sept →
dust26–130.0223%5 Sept →
nuke10–13-0.0328%5 Sept →
dust213–3-0.0612%5 Sept →
dust213–100.0520%4 Sept →
dust211–13-0.0312%4 Sept →
inferno13–110.0613%30 Aug →
dust215–150.0217%30 Aug →
nuke13–110.0716%26 Aug →
inferno3–130.0313%26 Aug →
inferno14–160.0316%22 Aug →
dust28–130.0418%22 Aug →
dust29–130.0221%22 Aug →
ancient13–5-0.0010%21 Aug →
dust213–80.0514%21 Aug →
cache11–13-0.0211%21 Aug →
nuke13–90.0212%21 Aug →
train13–110.0225%18 Aug →
dust213–90.0321%17 Aug →
ancient16–120.0017%15 Aug →
inferno9–130.0321%15 Aug →
dust27–130.0321%11 Aug →
dust24–13-0.0520%11 Aug →
dust26–130.0827%11 Aug →
inferno13–2-0.0114%9 Aug →
inferno13–8-0.0148%9 Aug →
inferno8–130.0110%8 Aug →
nuke6–130.0418%8 Aug →
dust213–40.0320%8 Aug →
anubis13–80.0711%3 Aug →
mirage13–40.0521%2 Aug →
dust213–10-0.0117%2 Aug →
dust213–60.0319%1 Aug →
inferno13–90.0310%1 Aug →
nuke13–8-0.0515%28 Jul →
dust213–100.0233%26 Jul →
mirage13–60.0519%26 Jul →
dust213–90.0624%25 Jul →
mirage13–40.0531%25 Jul →
dust210–13-0.0011%25 Jul →
cache2–13-0.0925%25 Jul →
nuke14–16-0.0712%25 Jul →
inferno4–13-0.0113%25 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.