Say My Name

Say My Name — CS2 Stats

FR76561198005282016[U:1:45016288]Steam profile ↗✓ No bans

393Tracked matches52%Win rate2023Tracked since
1,975Hours in CS2Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating15,423Purple band · top ~26.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 15,423 → 15,423
+1Tracked matches · now 393
−1.7ppWin rate · 53.6% → 51.8%

Rating over time

Premier CS Rating: 15,423 +2,970 29 Nov – 18 Sept · 18 days played
12,45315,480peak 15,48029 Nov18 Sept
15,752Peak Premier in tracked matches
47Days played since 2025-11-29

Premier CS Rating

  • 57 below peak (15,480)
  • -37 over 30 days · steady
  • Next: Pink band at 20,000 — 4,577 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.8%44.3%46.9%7.1% short
Shot accuracy16.6%11.9%13.0%above
Kill/death ratio1.101.031.08meets
Match win rate44.0%45.2%46.7%2.7% short

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

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

Share this profile

CSDB.GGSay My NamePREMIER15,423 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning41
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY41–52–7Last 10041%Win rateTWWWLWLWLW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −7.2pp headshot accuracy · +4ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 560ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 600ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 598ms

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 (+1.4 against its own average).

Aim5.9
Utility5.0
Positioning4.1
Opening Duels1.8

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

NiKo

Plays most like NiKo 87% 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. 590ms 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

Aim5.9
Positioning4.1
Utility5.0
Mechanics4.8
Opening Duels0.7
Win Impact5.6

Composite 4.7/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time587ms−17ms
first ⅓ avg 604ms → last ⅓ avg 587ms
Headshot accuracy18.8%+2.3%
first ⅓ avg 16.5% → last ⅓ avg 18.8%

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

0.19Best match rating · 13–2 · cache, 1 Aug →
60%Best headshot accuracy · 0–6 · dust2, 31 Aug →
438msFastest reaction time · 8–1 · inferno, 8 Sept →
13–2Biggest win · dust2, 31 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 57% over 7infernoWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%-0.00
infernoD206–1430%-0.02
cacheD134–931%-0.01
mirageC104–640%-0.00
anubisC73–443%-0.02
ancientA74–357%-0.00
nuke—40–40%-0.02
vertigo—32–167%-0.05
fachwerk—31–233%-0.03
shelter—21–150%0.03
train—22–0100%0.07
italy—10–10%-0.03
boulder—11–0100%0.05
overpass—11–0100%0.04
poseidon—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,356Lifetime kills
1.10K/D · Top 50% of Purple band
3,511Matches
44.0%Match win rate
39.8%Headshot %
16.6%Shot accuracy · Top 25% of Purple band
6,473MVPs
1,159Hours (in match)
2,537Bombs planted
492Bombs defused

Most-used weapons

AK-4713,970
AWP8,094
Negev2,417
Tec-92,276
P902,036
P2501,966
FAMAS1,730

Lifetime map wins

6,924inferno
5,394dust2
910nuke
791cbble
693lake
404train
361office
323vertigo

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

Skill profile

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

18.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
37.4%Spray accuracy
71.7%Counter-strafing
10.7°Preaim
590msReaction time
28.1%T opening success
35.4%CT opening success
0.50Enemies flashed / flash
6.7%Flash assists
13.07HE damage / grenade
2.34Flashes / 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. 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 0.497 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.0737% — 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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo12–12-0.126%23 Sept →
inferno13–8-0.0013%16 Sept →
anubis13–7-0.0115%10 Sept →
inferno8–1-0.0117%8 Sept →
inferno4–13-0.069%8 Sept →
ancient13–6-0.0018%7 Sept →
dust210–13-0.0321%2 Sept →
cache13–8-0.0222%2 Sept →
cache6–13-0.0524%1 Sept →
dust213–20.0218%31 Aug →
dust20–6-0.1160%31 Aug →
cache7–130.0213%31 Aug →
nuke10–130.0015%31 Aug →
dust213–2-0.0127%31 Aug →
dust213–110.0415%29 Aug →
dust26–130.0226%27 Aug →
dust29–13-0.0610%27 Aug →
mirage9–13-0.0218%26 Aug →
inferno10–13-0.0214%25 Aug →
italy12–12-0.0336%25 Aug →
boulder13–110.0516%25 Aug →
vertigo13–30.0115%25 Aug →
shelter9–13-0.0025%25 Aug →
anubis13–70.0618%25 Aug →
anubis6–13-0.066%24 Aug →
shelter13–40.0520%22 Aug →
ancient4–00.0925%22 Aug →
nuke12–12-0.0617%22 Aug →
nuke10–130.0125%18 Aug →
vertigo13–4-0.0320%18 Aug →
fachwerk13–7-0.0010%17 Aug →
ancient6–13-0.0210%17 Aug →
cache13–3-0.0213%17 Aug →
ancient7–13-0.0337%16 Aug →
inferno7–13-0.085%16 Aug →
mirage6–13-0.0312%16 Aug →
overpass13–110.0421%16 Aug →
mirage13–100.0618%12 Aug →
anubis13–6-0.0410%11 Aug →
dust210–13-0.0417%11 Aug →
ancient9–13-0.0321%11 Aug →
fachwerk8–13-0.0311%11 Aug →
mirage10–13-0.0311%8 Aug →
cache9–13-0.0410%8 Aug →
dust216–140.0312%8 Aug →
mirage16–13-0.0315%8 Aug →
inferno13–110.0021%3 Aug →
dust213–20.027%2 Aug →
cache13–20.1918%1 Aug →
anubis8–13-0.115%1 Aug →
inferno13–16-0.058%1 Aug →
mirage2–13-0.047%1 Aug →
inferno13–10-0.055%31 Jul →
dust27–13-0.0515%31 Jul →
cache13–11-0.0519%31 Jul →
dust213–50.0624%31 Jul →
anubis6–130.0111%31 Jul →
dust213–60.0810%31 Jul →
mirage9–130.0120%30 Jul →
inferno10–130.0516%30 Jul →
inferno15–150.0118%29 Jul →
mirage10–13-0.0311%29 Jul →
dust29–13-0.0014%28 Jul →
dust22–130.0317%28 Jul →
inferno11–130.0215%26 Jul →
inferno9–13-0.1110%26 Jul →
mirage13–70.0815%26 Jul →
inferno13–40.0810%26 Jul →
inferno13–90.0013%22 Jul →
nuke10–13-0.0514%22 Jul →
dust213–11-0.0416%22 Jul →
ancient13–6-0.0217%21 Jul →
inferno6–13-0.0318%19 Jul →
mirage13–70.0315%19 Jul →
fachwerk4–13-0.0616%18 Jul →
dust213–90.0421%17 Jul →
cache4–13-0.077%17 Jul →
inferno9–13-0.0410%17 Jul →
poseidon6–90.0420%1 Jul →
dust24–13-0.0328%30 Jun →
dust26–13-0.0219%29 Jun →
ancient13–10-0.0114%25 Jun →
cache2–13-0.0721%25 Jun →
train13–10-0.0026%24 Jun →
train13–20.1325%24 Jun →
anubis12–120.0111%7 May →
cache12–12-0.0711%7 May →
cache3–130.0315%7 May →
cache12–120.0112%7 May →
cache11–130.0223%7 May →
inferno10–130.033%19 Apr →
dust24–130.0116%19 Apr →
inferno5–13-0.0220%6 Apr →
dust211–13-0.0312%6 Apr →
dust25–13-0.0418%22 Jan →
inferno7–13-0.0521%6 Jan →
dust213–4-0.0221%27 Dec →
inferno9–130.0411%5 Dec →
dust213–110.0319%2 Dec →
dust213–90.0220%29 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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.