Zalto

Zalto — CS2 Stats

76561198123884259[U:1:163618531]Steam profile ↗✓ No bans

341Tracked matches46%Win rate2020Tracked since
3,470Hours in CS4Hrs last 2 wks
CSDB Rating5.6 SolidSupport
Premier CS Rating18,596Purple band · top ~14.1% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
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: 18,596 -481 25 Feb – 26 Oct · 30 days played
13,53421,515peak 21,51525 Feb26 Oct
21,631Peak Premier in tracked matches
55Days played since 2025-02-21

Premier CS Rating

  • 2,919 below peak (21,515)
  • -287 over 30 days · steady
  • Next: Pink band at 20,000 — 1,404 to go
  • Reached: Pink band · 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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate44.8%44.8%45.7%meets
Shot accuracy15.9%12.4%12.7%above
Kill/death ratio0.961.031.050.09 short
Match win rate42.8%45.2%45.7%2.8% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGZaltoFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,596 · 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

Aim73
Positioning54
Utility55

0–100 skill scores via Leetify.

Recent form

COLD41–53–6Last 10041%Win rateLWLLLLWLTL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −3.7pp headshot accuracy · −37ms reaction

Win rate down 50pp 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 583ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

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 (+2.6 against its own average).

Aim7.3
Utility5.5
Positioning5.4
Opening Duels0.7
Clutch0.0

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 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 564ms 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

Aim7.3
Positioning5.4
Utility5.5
Mechanics6.3
Opening Duels1.5
Win Impact3.8

Composite 5.6/10 (Solid), 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 time567ms−6ms
first ⅓ avg 573ms → last ⅓ avg 567ms
Headshot accuracy18.2%+0.2%
first ⅓ avg 18.0% → 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

0.10Best match rating · 13–7 · anubis, 26 Jan →
40%Best headshot accuracy · 9–13 · mirage, 31 Jan →
422msFastest reaction time · 11–13 · anubis, 5 Oct →
13–2Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
mirageC3615–2142%-0.01
anubisC167–944%-0.02
infernoD142–1214%-0.03
nukeA127–558%-0.00
ancientD103–730%-0.02
cacheS54–180%0.03
dust2C52–340%0.05
overpass—10–10%0.08
train—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,464Lifetime kills
0.96K/D
4,123Matches
42.8%Match win rate
44.8%Headshot % · Top 50% of Level 6 players
15.9%Shot accuracy · Top 25% of Level 6 players
9,190MVPs
1,831Hours (in match)
4,925Bombs planted
1,489Bombs defused

Most-used weapons

AK-4725,205
AWP7,889
P2502,295
Tec-91,648
P901,597
AUG1,482

Lifetime map wins

7,531dust2
5,305inferno
2,117nuke
933train
819vertigo
698cbble
104office
68lake

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

Faceit stats

Combat

416Matches
49%Win rate
1.09Avg K/D
83.3ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%1.4018.7
Vertigo2100%1.0312.5
Inferno250%0.7610.0
Dust220%0.8814.5
Ancient1100%0.6712.0
Anubis1100%2.5020.0

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.

16.7%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.1%Spray accuracy
78.2%Counter-strafing
9.2°Preaim
564msReaction time
41.4%T opening success
30.9%CT opening success
0.61Enemies flashed / flash
6.8%Flash assists
9.16HE damage / grenade
11.47Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.9391% — 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.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0625%26 Oct →
mirage13–80.0312%18 Oct →
inferno5–130.055%16 Oct →
ancient14–16-0.0613%12 Oct →
nuke7–13-0.0323%10 Oct →
nuke10–13-0.0213%10 Oct →
ancient13–10-0.0511%8 Oct →
anubis11–13-0.0319%5 Oct →
inferno15–15-0.0312%5 Oct →
mirage2–13-0.0228%22 Sept →
anubis13–100.0122%22 Sept →
nuke13–6-0.0213%21 Sept →
inferno13–50.0018%21 Sept →
anubis13–50.0013%21 Sept →
inferno4–13-0.0533%17 Sept →
mirage1–13-0.0032%17 Sept →
nuke13–9-0.0121%16 Sept →
mirage13–9-0.0315%16 Sept →
nuke13–20.0616%16 Sept →
mirage13–160.0515%14 Sept →
cache13–80.0811%14 Sept →
cache13–6-0.0311%14 Sept →
mirage6–13-0.0217%10 Sept →
ancient0–13-0.055%20 Aug →
cache13–6-0.0218%15 Aug →
ancient15–15-0.0315%25 Jul →
nuke5–130.0319%23 Jul →
cache10–130.0312%13 Jul →
cache13–20.1023%12 Jul →
mirage5–13-0.0326%25 Jun →
ancient3–13-0.1032%25 Jun →
inferno8–130.0018%17 Jun →
mirage13–8-0.0733%14 Jun →
inferno3–130.0217%14 Jun →
mirage10–13-0.0215%14 Jun →
inferno15–15-0.0612%30 May →
mirage5–13-0.0319%30 May →
anubis3–13-0.0727%30 May →
inferno10–130.0125%8 Feb →
anubis16–14-0.0120%8 Feb →
mirage9–13-0.0418%4 Feb →
anubis13–20.025%3 Feb →
anubis15–15-0.0022%2 Feb →
dust213–90.0619%1 Feb →
dust213–90.0920%1 Feb →
mirage7–13-0.0217%1 Feb →
mirage16–140.0413%31 Jan →
mirage13–7-0.0314%31 Jan →
ancient6–13-0.0519%31 Jan →
anubis6–13-0.0720%31 Jan →
inferno3–13-0.1118%31 Jan →
inferno13–6-0.0120%31 Jan →
mirage9–13-0.0240%31 Jan →
mirage13–10-0.0120%29 Jan →
anubis5–13-0.1018%29 Jan →
mirage16–130.0520%27 Jan →
anubis8–13-0.0431%27 Jan →
inferno15–15-0.0112%26 Jan →
anubis13–70.1025%26 Jan →
mirage13–90.0427%26 Jan →
ancient13–90.0418%26 Jan →
mirage13–5-0.0218%18 Jan →
mirage13–80.0132%17 Dec →
nuke6–13-0.0429%8 Sept →
dust211–130.0126%28 Aug →
nuke13–90.0422%2 Aug →
nuke13–70.0120%1 Aug →
dust214–160.0415%1 Aug →
overpass11–130.0821%31 Jul →
mirage7–130.0113%31 Jul →
ancient13–50.0123%31 Jul →
train13–90.0313%30 Jul →
inferno0–3-0.050%30 Jul →
ancient9–130.0716%30 Jul →
mirage2–13-0.0625%28 Jul →
mirage8–13-0.0313%17 Jul →
mirage10–130.0115%13 Jul →
nuke13–80.0224%13 Jul →
mirage11–130.0223%13 Jul →
nuke1–13-0.1015%4 Jul →
mirage2–13-0.0917%4 Jul →
anubis15–150.0212%2 Jul →
mirage13–7-0.0126%2 Jul →
mirage5–13-0.0216%28 Jun →
dust25–130.0319%22 Jun →
nuke13–50.0121%22 Jun →
mirage8–13-0.0321%21 Jun →
anubis13–70.0724%29 May →
mirage6–130.0327%29 May →
ancient6–130.0330%26 Feb →
mirage13–70.0411%25 Feb →
mirage16–14-0.0017%25 Feb →
anubis6–13-0.0612%24 Feb →
inferno3–13-0.0826%24 Feb →
anubis13–7-0.0117%23 Feb →
mirage13–80.0321%23 Feb →
anubis6–13-0.0812%22 Feb →
mirage11–130.0516%22 Feb →
inferno5–13-0.0521%22 Feb →
mirage13–80.0713%21 Feb →

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 →

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