Seltzer

Seltzer — CS2 Stats

IS76561198239979310[U:1:279713582]Steam profile ↗✓ No bans

1,679Tracked matches66%Win rate2021Tracked since
1,588Hours in CS
CSDB Rating5.8 SolidPositional Player
Premier CS Rating11,712Blue band · top ~45.8% of ranked players (population est.)
FaceitLevel 4 · 908 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (9 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: 11,712 +6,005 7 Sept – 5 Oct · 14 days played
5,60512,332peak 12,3327 Sept5 Oct
12,332Peak Premier in tracked matches
908Highest Faceit ELO seen on CSDB
41Days played since 2026-05-31

Faceit ELO

  • At peak — 908
  • Next: Level 5 at 1,051 — 143 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 620 below peak (12,332)
  • +6,005 over 30 days · improving
  • Next: Purple band at 15,000 — 3,288 to go
  • Reached: 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 Level 4 among CSDB-tracked players (n=14,247), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate33.8%42.7%43.7%10.0% short
Shot accuracy10.7%11.3%12.0%1.4% short
Kill/death ratio2.760.991.02above
Match win rate44.0%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSeltzerFACEITLevel 4 · 908 ELOSTANDINGTop 81.0% of rankedPREMIER11,712 · Blue bandPEAK ELO908csdb.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

Aim60
Positioning70
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLLLLLWWWWL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −4.5pp headshot accuracy · −91ms reaction

Win rate down 30pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 592ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 637ms

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 (+2.1 against its own average).

Aim6.0
Utility3.5
Positioning7.0
Opening Duels5.4
Clutch3.6

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

donk

Plays most like donk 71% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 625ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim6.0
Positioning7.0
Utility3.5
Mechanics4.3
Opening Duels7.4
Win Impact10.0

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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time622ms−33ms
first ⅓ avg 655ms → last ⅓ avg 622ms
Headshot accuracy16.8%+0.7%
first ⅓ avg 16.0% → last ⅓ avg 16.8%

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

0.28Best match rating · 13–7 · cache, 20 Sept →
38%Best headshot accuracy · 13–4 · dust2, 3 Sept →
422msFastest reaction time · 2–13 · anubis, 5 Oct →
13–1Biggest win · cache, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
3–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 6dust2Weakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC2310–1343%0.04
dust2D205–1525%0.00
nukeB209–1145%0.02
cacheC208–1240%0.03
infernoS64–267%0.04
anubisC52–340%0.04
ancient—31–233%0.02
office—10–10%-0.04
vertigo—11–0100%0.17
train—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

192,968Lifetime kills
2.76K/D · Top 1% of Level 4 players
3,993Matches
44.0%Match win rate · Top 50% of Level 4 players
33.8%Headshot %
10.7%Shot accuracy
9,376MVPs
1,588Hours (in match)
4,032Bombs planted
1,395Bombs defused

Most-used weapons

Molotov52,957
AK-4751,541
AWP18,580
Knife8,655
MAG-74,899
Negev2,611

Lifetime map wins

4,447inferno
4,270nuke
4,189dust2
3,575vertigo
1,605train
1,578office
281italy
231cbble

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

Faceit stats

Combat

475Matches
49%Win rate
0.98Avg K/D
65.0ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12145%0.9612.5
Anubis6161%0.9313.1
Vertigo5456%1.1712.8
Inferno5448%1.1713.9
Ancient5139%0.9514.0
Nuke4848%0.9415.1
Dust24659%0.7912.3
Overpass1560%1.0811.6

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.

17.0%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.1%Spray accuracy
69.3%Counter-strafing
9.9°Preaim
625msReaction time
66.4%T opening success
52.8%CT opening success
0.55Enemies flashed / flash
1.5%Flash assists
6.25HE damage / grenade
3.90Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8971 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis2–130.0016%5 Oct →
dust25–130.0213%5 Oct →
ancient9–13-0.0119%5 Oct →
mirage5–130.0613%4 Oct →
dust210–13-0.0112%4 Oct →
nuke13–80.0213%3 Oct →
nuke13–100.0719%3 Oct →
nuke13–80.0115%3 Oct →
ancient13–90.0411%3 Oct →
dust26–13-0.105%3 Oct →
dust213–11-0.0310%3 Oct →
nuke8–8-0.105%3 Oct →
nuke13–9-0.0025%2 Oct →
mirage13–90.0620%1 Oct →
cache13–10-0.0021%1 Oct →
dust211–13-0.0014%1 Oct →
mirage13–100.0724%30 Sept →
dust215–15-0.0613%30 Sept →
cache13–10.0130%29 Sept →
dust213–4-0.0119%29 Sept →
mirage13–30.0716%29 Sept →
nuke5–13-0.0213%29 Sept →
cache13–90.0522%29 Sept →
mirage13–30.1013%29 Sept →
anubis3–13-0.0533%29 Sept →
mirage13–10.1826%29 Sept →
dust213–40.0324%28 Sept →
cache13–8-0.0121%28 Sept →
mirage11–13-0.0120%27 Sept →
anubis13–60.1512%25 Sept →
anubis16–120.078%25 Sept →
anubis7–130.0218%25 Sept →
nuke8–13-0.078%25 Sept →
cache13–70.1218%25 Sept →
mirage16–140.0311%21 Sept →
inferno13–30.0124%21 Sept →
nuke13–10.0823%21 Sept →
dust210–130.0118%21 Sept →
mirage10–130.0518%21 Sept →
cache13–70.2831%20 Sept →
dust23–13-0.0322%19 Sept →
nuke13–90.1029%7 Sept →
mirage15–150.0412%7 Sept →
mirage7–130.0523%7 Sept →
inferno7–130.0212%6 Sept →
mirage13–60.0327%6 Sept →
inferno13–11-0.029%5 Sept →
cache10–130.0517%5 Sept →
dust23–130.0319%5 Sept →
cache6–130.1120%4 Sept →
dust213–40.2338%3 Sept →
mirage13–30.1116%2 Sept →
nuke16–130.0923%2 Sept →
office12–12-0.0415%29 Aug →
cache10–130.1018%29 Aug →
nuke13–90.1027%29 Aug →
dust213–70.0612%29 Aug →
inferno13–160.1219%29 Aug →
nuke14–160.0517%25 Aug →
dust214–160.0511%18 Aug →
nuke8–130.0333%10 Aug →
mirage13–80.0528%9 Aug →
dust25–13-0.0413%9 Aug →
nuke9–130.0517%9 Aug →
dust23–13-0.160%9 Aug →
nuke5–13-0.0224%7 Aug →
mirage1–130.0117%7 Aug →
nuke7–13-0.100%2 Aug →
nuke9–130.0215%2 Aug →
mirage2–130.0119%2 Aug →
nuke4–13-0.104%31 Jul →
dust211–130.0310%31 Jul →
ancient4–130.0320%30 Jul →
mirage6–130.0316%28 Jul →
dust210–13-0.0412%27 Jul →
cache2–130.0224%27 Jul →
cache5–130.0528%19 Jul →
inferno13–90.1414%19 Jul →
mirage1–13-0.0521%19 Jul →
cache2–13-0.136%19 Jul →
cache13–10-0.0111%17 Jul →
inferno9–60.0017%5 Jul →
cache6–13-0.0511%5 Jul →
nuke4–13-0.0134%4 Jul →
mirage6–13-0.047%4 Jul →
mirage3–130.0317%27 Jun →
cache10–13-0.057%25 Jun →
cache11–13-0.0115%20 Jun →
nuke13–20.1424%20 Jun →
cache12–12-0.0132%20 Jun →
cache11–13-0.0221%20 Jun →
dust22–13-0.0217%20 Jun →
dust28–130.1131%19 Jun →
vertigo13–40.1726%19 Jun →
cache6–13-0.0410%7 Jun →
mirage12–120.0310%6 Jun →
mirage12–12-0.0020%6 Jun →
train3–13-0.0412%6 Jun →
cache13–90.097%6 Jun →
mirage8–2-0.0112%31 May →

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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