Pre§§

Pre§§ — CS2 Stats

NZ76561198000816565[U:1:40550837]Steam profile ↗✓ No bans

2,365Tracked matches57%Win rate2020Tracked since
5,719Hours in CS43Hrs last 2 wks
CSDB Rating6.7 SolidSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (57 days ago). Ranks are recorded once per day this page is viewed.

+66Tracked matches · now 2,365
+14.8ppWin rate · 42.3% → 57.1%

Rating over time

22Days played since 2026-07-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim76
Positioning62
Utility65

0–100 skill scores via Leetify.

Recent form

HOT47–44–9Last 10047%Win rateWWWLWLWWLW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · +0.0pp headshot accuracy · −18ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 28%
  • Avg reaction 566ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 521ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 530ms

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 (+1.1 against its own average).

Aim7.6
Utility6.5
Positioning6.2
Opening Duels3.4

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 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 43% on CT — first contacts on the defending side are being lost.

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

Aim7.6
Positioning6.2
Utility6.5
Mechanics5.8
Opening Duels6.3
Win Impact7.4

Composite 6.7/10 (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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time526ms−94ms
first ⅓ avg 621ms → last ⅓ avg 526ms
Headshot accuracy23.6%+0.7%
first ⅓ avg 22.9% → last ⅓ avg 23.6%

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

0.14Best match rating · 13–5 · ancient, 25 Jul →
48%Best headshot accuracy · 13–1 · office, 12 Jul →
344msFastest reaction time · 2–13 · inferno, 27 Oct →
13–1Biggest win · inferno, 28 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
8–7In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 60% over 20anubisWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%0.02
nukeA2012–860%0.01
cacheB136–746%-0.00
anubisD123–925%-0.01
trainD124–833%-0.03
vertigoB63–350%0.02
ancientC52–340%0.01
office—32–167%0.01
dust2—20–20%-0.04
mirage—22–0100%0.03
overpass—21–150%0.02
rush_001—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

203,689Lifetime kills
1.40K/D · Top 10% of tracked players
11,955Matches
56.9%Match win rate · Top 5% of tracked players
45.4%Headshot % · Top 50% of tracked players
14.4%Shot accuracy · Top 50% of tracked players
24,097MVPs
3,304Hours (in match)
9,697Bombs planted
1,564Bombs defused

Most-used weapons

AK-4749,018
AWP18,342
MP99,448
P906,830
MAC-104,292
Knife2,710

Lifetime map wins

18,357nuke
15,798vertigo
6,052inferno
3,687cbble
3,183train
3,182office
1,059dust2
555italy

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.

23.1%Headshot accuracy
34.2%Accuracy (enemy spotted)
32.0%Spray accuracy
76.2%Counter-strafing
9.5°Preaim
509msReaction time
66.8%T opening success
43.4%CT opening success
0.68Enemies flashed / flash
11.2%Flash assists
13.27HE damage / grenade
8.50Flashes / match

Recommended for you

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0533%29 Oct →
nuke13–20.0015%29 Oct →
anubis13–6-0.0112%29 Oct →
inferno4–13-0.0632%29 Oct →
nuke4–00.1147%29 Oct →
dust29–13-0.0526%28 Oct →
nuke13–50.0417%27 Oct →
cache13–40.0113%27 Oct →
inferno2–13-0.0826%27 Oct →
inferno13–110.0222%27 Oct →
anubis1–13-0.0612%27 Oct →
nuke6–13-0.0219%27 Oct →
inferno3–13-0.0026%26 Oct →
nuke13–110.1020%26 Oct →
ancient9–130.0128%26 Oct →
nuke13–8-0.0331%26 Oct →
cache11–20.0931%26 Oct →
rush_0017–80.0130%22 Oct →
office9–13-0.0418%22 Oct →
nuke5–13-0.0729%22 Oct →
anubis4–130.0028%22 Oct →
train13–9-0.0018%19 Oct →
inferno12–12-0.0011%19 Oct →
ancient1–13-0.0717%19 Oct →
anubis12–12-0.0624%18 Oct →
nuke13–90.0026%18 Oct →
nuke13–40.0217%18 Oct →
ancient13–100.0126%18 Oct →
inferno13–50.1133%18 Oct →
dust211–13-0.0336%11 Oct →
anubis13–40.1012%11 Oct →
cache5–13-0.0819%11 Oct →
train2–13-0.0523%11 Oct →
cache13–4-0.0240%11 Oct →
train10–0-0.0340%11 Oct →
train13–11-0.0519%10 Oct →
train13–8-0.0328%10 Oct →
inferno13–60.0422%10 Oct →
inferno11–130.0128%10 Oct →
nuke6–13-0.0630%1 Oct →
inferno13–90.0212%1 Oct →
inferno13–110.0521%1 Oct →
vertigo10–130.0118%1 Oct →
ancient10–13-0.0531%1 Oct →
cache11–13-0.0222%1 Oct →
inferno13–10.0224%28 Sept →
nuke11–130.0728%28 Sept →
train4–13-0.0221%28 Sept →
inferno13–10-0.0630%28 Sept →
nuke13–30.0146%28 Sept →
inferno13–20.0517%28 Sept →
cache1–13-0.0533%28 Sept →
anubis12–120.0114%28 Sept →
inferno13–30.0925%28 Sept →
train9–13-0.0210%22 Sept →
anubis2–13-0.0630%22 Sept →
vertigo7–13-0.0214%22 Sept →
cache12–12-0.0429%22 Sept →
inferno11–80.0316%22 Sept →
office13–70.0624%14 Sept →
mirage13–80.0127%14 Sept →
nuke13–100.0620%14 Sept →
nuke13–110.0217%14 Sept →
inferno4–13-0.0114%14 Sept →
inferno13–10.0511%13 Sept →
mirage13–90.0534%13 Sept →
nuke7–13-0.049%28 Jul →
inferno7–13-0.0016%28 Jul →
vertigo12–12-0.0513%28 Jul →
overpass9–10.0622%28 Jul →
train7–13-0.0438%28 Jul →
cache5–13-0.0417%28 Jul →
vertigo13–70.1019%28 Jul →
train12–12-0.0314%28 Jul →
anubis3–13-0.0029%28 Jul →
anubis12–120.0022%27 Jul →
inferno5–130.0919%27 Jul →
nuke13–9-0.0018%26 Jul →
nuke5–13-0.0432%26 Jul →
cache9–130.049%26 Jul →
train2–13-0.0722%26 Jul →
anubis10–13-0.0122%26 Jul →
overpass9–13-0.0318%26 Jul →
vertigo13–110.0814%26 Jul →
nuke1–13-0.0544%26 Jul →
inferno13–110.0214%25 Jul →
ancient13–50.1417%25 Jul →
anubis13–2-0.0018%25 Jul →
cache13–8-0.0126%25 Jul →
cache13–110.1020%23 Jul →
nuke13–60.1223%23 Jul →
train4–13-0.0412%23 Jul →
inferno12–120.0714%23 Jul →
anubis6–13-0.0424%22 Jul →
vertigo13–3-0.0142%22 Jul →
train11–13-0.0125%22 Jul →
inferno11–130.0139%15 Jul →
nuke6–13-0.0123%12 Jul →
office13–10.0148%12 Jul →
cache12–120.0423%12 Jul →

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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