Safest

Safest — CS2 Stats

76561198882533311[U:1:922267583]Steam profile ↗✓ No bans

966Tracked matches54%Win rate2020Tracked since
2,853Hours in CS
CSDB Rating4.5 DevelopingSupport
Premier CS Rating16,681Purple band · top ~21.7% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (3 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: 16,681 +5,233 17 Jul – 26 Oct · 33 days played
11,44816,817peak 16,81717 Jul26 Oct
16,933Peak Premier in tracked matches
35Days played since 2026-07-15

Premier CS Rating

  • 136 below peak (16,817)
  • +4,204 over 90 days
  • Next: Pink band at 20,000 — 3,319 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.

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 rate36.8%44.4%46.9%10.1% short
Shot accuracy22.5%11.9%13.0%above
Kill/death ratio1.231.031.08above
Match win rate12.7%45.2%46.7%33.9% short

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

Widest gap: Match win 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.GGSafestPREMIER16,681 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim42
Positioning44
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateLWLWWWTWLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +1.6pp headshot accuracy · −64ms 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 -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 591ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 575ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 607ms

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 (+1.7 against its own average).

Aim4.2
Utility5.4
Positioning4.4
Opening Duels1.3

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

iM

Plays most like iM 73% 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. 616ms 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

Aim4.2
Positioning4.4
Utility5.4
Mechanics5.9
Opening Duels0.8
Win Impact6.2

Composite 4.5/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time615ms−2ms
first ⅓ avg 617ms → last ⅓ avg 615ms
Headshot accuracy12.2%−0.8%
first ⅓ avg 12.9% → last ⅓ avg 12.2%

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

0.07Best match rating · 13–6 · nuke, 17 Jul →
26%Best headshot accuracy · 6–13 · cache, 11 Aug →
453msFastest reaction time · 5–13 · ancient, 10 Aug →
13–1Biggest win · inferno, 7 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–3In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 59% over 22anubisWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
infernoB2614–1254%-0.02
nukeA2213–959%-0.01
ancientB2111–1052%-0.00
anubisD184–1422%-0.02
cacheA116–555%-0.02
dust2—21–150%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

332,276Lifetime kills
1.23K/D · Top 25% of Purple band
10,427Matches
12.7%Match win rate
36.8%Headshot %
22.5%Shot accuracy · Top 1% of Purple band
7,930MVPs
2,853Hours (in match)
4,381Bombs planted
718Bombs defused

Most-used weapons

AK-47138,895
AWP11,412
P906,390
MAC-106,354
MP75,421
SG 5535,377

Lifetime map wins

10,966inferno
6,939nuke
6,045dust2
1,147vertigo
525train
146ar_shoots
32office
31lake

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.

12.2%Headshot accuracy
33.9%Accuracy (enemy spotted)
36.8%Spray accuracy
76.7%Counter-strafing
14.1°Preaim
616msReaction time
35.1%T opening success
31.2%CT opening success
0.50Enemies flashed / flash
3.8%Flash assists
9.46HE damage / grenade
7.80Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.1115° — above the 12° mark we flag

    Aim Training →
  2. 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 12.2173% — below the 15% 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 0.4958 — below the 0.5 mark we flag

    Grenade Lineups →
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 18 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0717%26 Oct →
nuke13–90.0219%26 Oct →
anubis10–13-0.059%21 Oct →
nuke13–7-0.058%15 Oct →
dust213–7-0.0316%8 Oct →
inferno13–80.0016%8 Oct →
inferno15–150.0212%6 Oct →
inferno13–8-0.0023%16 Sept →
anubis5–130.009%11 Sept →
anubis5–13-0.0211%9 Sept →
nuke16–13-0.018%8 Sept →
nuke6–130.0114%8 Sept →
ancient13–4-0.0011%5 Sept →
inferno13–8-0.0410%5 Sept →
nuke13–10-0.0211%26 Aug →
cache4–13-0.0217%18 Aug →
nuke10–13-0.0223%15 Aug →
cache13–50.008%15 Aug →
nuke10–13-0.0210%15 Aug →
nuke4–13-0.0811%15 Aug →
ancient13–110.0213%11 Aug →
cache6–13-0.0626%11 Aug →
ancient5–13-0.0210%10 Aug →
inferno4–13-0.080%10 Aug →
ancient15–15-0.018%10 Aug →
ancient13–110.0313%7 Aug →
inferno13–1-0.070%7 Aug →
cache5–13-0.0415%6 Aug →
ancient13–2-0.059%1 Aug →
cache13–90.019%1 Aug →
cache13–8-0.0513%31 Jul →
inferno13–90.015%31 Jul →
anubis3–13-0.0022%31 Jul →
inferno16–14-0.0310%30 Jul →
cache13–60.0211%30 Jul →
nuke13–110.0213%30 Jul →
nuke16–120.0218%29 Jul →
nuke13–9-0.0313%29 Jul →
inferno5–13-0.0212%29 Jul →
inferno8–13-0.0115%29 Jul →
ancient13–4-0.0313%29 Jul →
nuke13–9-0.0217%28 Jul →
inferno4–13-0.090%28 Jul →
inferno13–5-0.066%28 Jul →
inferno1–13-0.068%27 Jul →
ancient6–13-0.0812%27 Jul →
anubis6–13-0.0420%27 Jul →
inferno14–16-0.0116%27 Jul →
inferno15–15-0.039%27 Jul →
ancient7–130.019%27 Jul →
ancient11–13-0.043%27 Jul →
inferno13–70.0610%26 Jul →
nuke15–150.0214%26 Jul →
inferno13–8-0.0111%26 Jul →
anubis6–130.0522%25 Jul →
inferno7–13-0.0416%25 Jul →
inferno13–30.0211%25 Jul →
anubis11–130.0012%25 Jul →
inferno8–130.048%24 Jul →
nuke5–13-0.045%24 Jul →
anubis16–120.0417%24 Jul →
ancient13–60.029%24 Jul →
nuke13–2-0.0215%24 Jul →
anubis7–13-0.0313%24 Jul →
ancient13–90.0012%24 Jul →
nuke13–8-0.065%24 Jul →
nuke9–13-0.0415%23 Jul →
nuke13–90.018%23 Jul →
ancient13–11-0.0110%23 Jul →
inferno13–100.0518%22 Jul →
anubis7–13-0.038%22 Jul →
ancient6–13-0.0021%22 Jul →
dust24–13-0.086%22 Jul →
anubis13–70.0414%22 Jul →
ancient15–150.0419%22 Jul →
ancient13–6-0.0113%21 Jul →
anubis13–8-0.0313%21 Jul →
anubis12–160.0319%21 Jul →
ancient5–130.048%21 Jul →
ancient8–13-0.003%20 Jul →
anubis10–13-0.057%20 Jul →
inferno13–30.0215%20 Jul →
cache13–80.0113%20 Jul →
inferno5–13-0.0414%19 Jul →
inferno5–13-0.078%19 Jul →
anubis13–6-0.0216%19 Jul →
ancient15–150.0116%19 Jul →
nuke13–20.0518%19 Jul →
inferno13–110.0412%19 Jul →
cache15–150.0320%18 Jul →
cache0–13-0.104%17 Jul →
ancient13–20.029%17 Jul →
inferno13–10-0.0010%17 Jul →
nuke13–60.0725%17 Jul →
nuke8–13-0.0614%17 Jul →
anubis5–13-0.0611%17 Jul →
cache13–7-0.0214%16 Jul →
nuke12–160.0215%16 Jul →
ancient13–60.0115%16 Jul →
anubis13–16-0.0412%15 Jul →

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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