SnK

SnK — CS2 Stats

DE76561197998308504[U:1:38042776]Steam profile ↗✓ No bans

1,516Tracked matches59%Win rate2023Tracked since
2,081Hours in CS20Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating20,364Top 50% of 204,097 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)
CSDB Leaderboard#75504 of 251169 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (2 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: 20,364 +1,045 1 Jul – 8 Oct · 16 days played
17,55921,303peak 21,3031 Jul8 Oct
21,624Peak Premier in tracked matches
27Days played since 2026-06-26

Premier CS Rating

  • 939 below peak (21,303)
  • +562 over 30 days · improving
  • +1,304 over 90 days
  • Next: Red band at 25,000 — 4,636 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate39.2%46.9%49.2%10.0% short
Shot accuracy1.5%13.0%13.4%11.9% short
Kill/death ratio1.121.081.12meets
Match win rate46.4%46.7%48.5%2.1% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGSnKPREMIER20,364 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

COLD49–43–8Last 10049%Win rateLLLWLWWLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −5.6pp headshot accuracy · −10ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 547ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 494ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 499ms

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).

Aim8.0
Utility5.3
Positioning5.0
Opening Duels2.2
Clutch2.0

Effective flashes

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

sh1ro

Plays most like sh1ro 90% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.0
Positioning5.0
Utility5.3
Mechanics6.8
Opening Duels2.0
Win Impact8.1

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time493ms−38ms
first ⅓ avg 531ms → last ⅓ avg 493ms
Headshot accuracy18.2%+3.3%
first ⅓ avg 14.9% → last ⅓ avg 18.2%

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

0.21Best match rating · 9–3 · debris, 23 Sept →
40%Best headshot accuracy · 8–8 · poseidon, 23 Sept →
109msFastest reaction time · 2–1 · dust2, 1 Jul →
13–2Biggest win · inferno, 19 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
8–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 67% over 12vertigoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
anubisC208–1240%0.01
cacheA1810–856%0.01
infernoS128–467%0.01
ancientB115–645%0.00
vertigoD113–827%0.01
nukeB84–450%-0.00
boulderA74–357%0.05
fachwerk—44–0100%0.09
dust2—31–233%0.01
shelter—21–150%0.05
debris—11–0100%0.21
poseidon—10–10%0.11
overpass—10–10%-0.07
train—10–10%-0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,165Lifetime kills
1.12K/D · Top 50% of Pink band
2,739Matches
46.4%Match win rate
39.2%Headshot %
1.5%Shot accuracy
5,420MVPs
1,124Hours (in match)
3,080Bombs planted
527Bombs defused

Most-used weapons

Lifetime map wins

4,330inferno
3,103vertigo
3,101nuke
1,089dust2
761train
225italy
174office
16cbble

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

Faceit stats

Combat

73Matches
55%Win rate
1.19Avg K/D
85.7ADR
37%Headshot %

Clutches & streaks

30%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2162%1.2518.4
Inferno1656%1.2617.9
Mirage1443%0.8014.1
Vertigo875%1.7620.1
Dust2743%1.1917.1
Nuke333%0.7413.3
Ancient333%1.0817.7
Overpass1100%1.6016.0

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.

17.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.5%Spray accuracy
80.5%Counter-strafing
8.5°Preaim
497msReaction time
39.9%T opening success
36.1%CT opening success
0.70Enemies flashed / flash
2.1%Flash assists
8.84HE damage / grenade
6.72Flashes / 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

    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 39.8732% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.0120%8 Oct →
cache8–130.0111%8 Oct →
anubis11–13-0.0116%8 Oct →
cache13–100.0217%8 Oct →
ancient6–130.0419%3 Oct →
ancient13–90.0823%1 Oct →
cache13–70.0320%1 Oct →
inferno7–13-0.036%1 Oct →
vertigo5–13-0.0318%1 Oct →
anubis10–13-0.0414%1 Oct →
inferno13–40.0715%26 Sept →
anubis7–13-0.0618%26 Sept →
anubis13–40.0520%26 Sept →
vertigo13–110.0216%25 Sept →
nuke13–11-0.0629%23 Sept →
vertigo7–13-0.0419%23 Sept →
vertigo6–13-0.0931%23 Sept →
debris9–30.2124%23 Sept →
poseidon8–80.1140%23 Sept →
ancient13–80.018%18 Sept →
inferno13–50.0511%17 Sept →
anubis13–80.0113%17 Sept →
anubis13–80.0822%6 Sept →
nuke12–120.0725%6 Sept →
ancient13–30.0212%6 Sept →
anubis8–13-0.0714%18 Aug →
inferno13–8-0.0318%18 Aug →
anubis13–11-0.0316%18 Aug →
ancient13–90.0721%13 Aug →
anubis15–150.0120%13 Aug →
inferno15–150.0220%13 Aug →
ancient13–11-0.0318%10 Aug →
ancient15–15-0.059%10 Aug →
anubis13–50.0515%7 Aug →
ancient10–13-0.0113%29 Jul →
cache13–30.0617%29 Jul →
vertigo10–130.0824%29 Jul →
cache11–13-0.0513%29 Jul →
anubis13–60.0613%29 Jul →
nuke5–13-0.013%26 Jul →
anubis13–30.0911%26 Jul →
inferno13–7-0.037%26 Jul →
cache13–10-0.0412%26 Jul →
ancient15–150.0520%26 Jul →
boulder13–50.1123%26 Jul →
cache8–13-0.0512%22 Jul →
anubis15–150.005%22 Jul →
inferno16–120.0220%21 Jul →
nuke9–13-0.0021%21 Jul →
nuke3–13-0.0524%21 Jul →
inferno13–9-0.0211%21 Jul →
cache13–110.1214%20 Jul →
cache5–13-0.0815%20 Jul →
nuke13–110.0223%20 Jul →
vertigo13–9-0.0222%20 Jul →
inferno2–13-0.0517%20 Jul →
nuke13–50.0415%19 Jul →
anubis13–10-0.0315%19 Jul →
anubis10–130.0118%19 Jul →
cache13–80.0610%19 Jul →
inferno13–20.019%19 Jul →
anubis11–13-0.0117%19 Jul →
anubis10–13-0.0514%19 Jul →
cache8–13-0.0116%19 Jul →
nuke13–9-0.0019%19 Jul →
inferno16–120.0214%16 Jul →
ancient5–13-0.0911%16 Jul →
anubis5–13-0.0413%16 Jul →
boulder8–13-0.0122%16 Jul →
shelter13–70.0922%10 Jul →
fachwerk13–10-0.0125%10 Jul →
boulder13–110.0111%10 Jul →
boulder13–50.0722%10 Jul →
boulder11–130.0812%10 Jul →
overpass2–13-0.077%10 Jul →
vertigo10–130.029%10 Jul →
cache13–80.0612%9 Jul →
shelter7–130.0111%9 Jul →
fachwerk13–50.1719%9 Jul →
fachwerk13–90.0113%9 Jul →
boulder12–120.0812%9 Jul →
boulder13–20.024%9 Jul →
fachwerk13–20.1722%9 Jul →
vertigo13–110.0215%8 Jul →
vertigo9–130.0014%7 Jul →
cache13–80.0521%7 Jul →
cache13–4-0.0216%7 Jul →
cache10–130.0328%7 Jul →
train6–13-0.0216%7 Jul →
dust213–2-0.038%7 Jul →
inferno11–130.019%2 Jul →
dust22–10.0433%1 Jul →
ancient10–13-0.065%1 Jul →
cache13–50.0216%1 Jul →
anubis5–130.0212%26 Jun →
vertigo10–130.1213%26 Jun →
cache10–130.0211%26 Jun →
cache10–130.0117%26 Jun →
vertigo5–13-0.028%26 Jun →
anubis4–130.0616%26 Jun →

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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