anssi

anssi — CS2 Stats

76561197977917758[U:1:17652030]Steam profile ↗VAC banned

945Tracked matches46%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating23,627Top 25% of 204,150 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#34904 of 251266 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (8 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: 23,627 -1,891 28 Nov – 3 Oct · 12 days played
22,62627,073peak 27,07328 Nov3 Oct
27,073Peak Premier in tracked matches
2,196Highest Faceit ELO seen on CSDB
28Days played since 2025-11-28

Faceit ELO

  • At peak — 2,196
  • Next: 2,500 ELO at 2,500 — 304 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier CS Rating

  • 3,446 below peak (27,073)
  • Next: Red band at 25,000 — 1,373 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGanssiPREMIER23,627 · Pink bandPEAK ELO2,196csdb.gg/stats

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Performance scores

Aim82
Positioning56
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWLLLWWWTWT

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · −91ms reaction

Win rate up 20pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 35%
  • Avg reaction 592ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 30%
  • Avg reaction 574ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 30%
  • Avg reaction 620ms

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 (+1.5 against its own average).

Aim8.2
Utility6.1
Positioning5.6
Opening Duels3.1
Clutch3.4

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

ZywOo

Plays most like ZywOo 95% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 627ms 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

Aim8.2
Positioning5.6
Utility6.1
Mechanics7.3
Opening Duels3.2
Win Impact3.8

Composite 6.4/10 (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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time626ms+6ms
first ⅓ avg 620ms → last ⅓ avg 626ms
Headshot accuracy26.0%+7.7%
first ⅓ avg 18.3% → last ⅓ avg 26.0%

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 · 9–0 · cache, 23 Jul →
67%Best headshot accuracy · 1–5 · mirage, 3 Oct →
375msFastest reaction time · 1–5 · mirage, 3 Oct →
13–1Biggest win · ancient, 17 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 67% over 9mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeS1711–665%-0.00
ancientB168–850%0.00
dust2D124–833%-0.01
overpassA127–558%-0.00
infernoB115–645%-0.02
anubisS96–367%0.00
mirageD71–614%-0.02
trainA74–357%-0.00
cacheS64–267%0.06
boulder—11–0100%-0.06
cache_b—10–10%-0.03
vertigo—10–10%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

554Matches
61%Win rate
1.33Avg K/D
78.9ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
24Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke6554%1.1016.3
Anubis5256%1.0915.6
Ancient3647%1.1016.1
Dust23551%1.1615.4
Inferno3259%1.0315.5
Mirage3148%1.1416.0
Overpass2658%1.0316.4
Train2374%1.3116.5

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.

25.8%Headshot accuracy
37.4%Accuracy (enemy spotted)
39.4%Spray accuracy
82.9%Counter-strafing
9.5°Preaim
627msReaction time
37.4%T opening success
48.0%CT opening success
0.67Enemies flashed / flash
7.6%Flash assists
8.98HE damage / grenade
11.39Flashes / 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 37.3541% — below the 40% mark we flag

Spend your practice time on Mirage

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 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder13–10-0.0637%3 Oct →
mirage1–5-0.0067%3 Oct →
nuke8–13-0.0037%2 Oct →
anubis7–13-0.0710%2 Oct →
cache13–50.0624%2 Oct →
dust213–110.0018%2 Oct →
cache13–90.1134%21 Aug →
dust215–150.0133%24 Jul →
anubis13–50.0115%24 Jul →
mirage15–15-0.0125%24 Jul →
cache8–130.0722%24 Jul →
ancient3–130.0020%24 Jul →
dust21–13-0.0453%24 Jul →
ancient13–60.0517%24 Jul →
nuke10–130.0130%24 Jul →
nuke8–13-0.0444%24 Jul →
cache9–00.1425%23 Jul →
inferno13–6-0.0330%23 Jul →
cache2–13-0.0150%23 Jul →
dust22–13-0.1013%19 Jul →
nuke13–4-0.0010%19 Jul →
ancient13–1-0.0428%17 Jul →
nuke13–50.0223%17 Jul →
cache16–130.027%11 Jul →
ancient9–13-0.0217%8 May →
anubis13–6-0.0317%28 Apr →
anubis8–130.0134%14 Mar →
mirage11–130.0230%14 Mar →
ancient9–130.0217%14 Mar →
mirage1–13-0.0924%14 Mar →
overpass8–130.0112%14 Mar →
dust213–9-0.0221%14 Mar →
nuke13–3-0.0414%14 Mar →
inferno12–16-0.0226%14 Mar →
ancient16–12-0.0326%14 Mar →
anubis13–110.0116%14 Mar →
inferno13–8-0.0120%14 Mar →
ancient11–13-0.0515%13 Mar →
dust211–130.0421%13 Mar →
cache_b11–13-0.0317%13 Mar →
anubis13–80.0331%13 Mar →
overpass13–40.0226%13 Mar →
inferno14–160.0124%13 Mar →
overpass8–13-0.038%13 Mar →
ancient15–15-0.0216%13 Mar →
nuke13–100.0229%13 Mar →
overpass13–8-0.039%13 Mar →
overpass13–100.0527%23 Feb →
nuke13–110.0117%23 Feb →
anubis6–130.0116%23 Feb →
anubis13–110.0316%7 Feb →
nuke13–16-0.0116%25 Jan →
mirage1–13-0.0528%25 Jan →
inferno13–8-0.0121%25 Jan →
nuke13–90.0415%18 Jan →
ancient13–11-0.0411%15 Jan →
nuke13–110.0217%15 Jan →
mirage14–160.0124%13 Jan →
train13–70.0233%10 Jan →
nuke2–13-0.0218%10 Jan →
nuke13–110.0116%10 Jan →
overpass13–100.0510%10 Jan →
anubis16–12-0.0021%10 Jan →
inferno6–13-0.0911%10 Jan →
train13–8-0.0120%10 Jan →
dust210–13-0.0416%10 Jan →
train8–13-0.0215%9 Jan →
nuke22–180.0415%9 Jan →
dust29–130.0514%9 Jan →
inferno19–15-0.0315%9 Jan →
dust216–130.0414%9 Jan →
inferno10–130.0319%4 Jan →
ancient6–130.0319%4 Jan →
dust217–19-0.0416%4 Jan →
inferno1–13-0.0827%4 Jan →
nuke13–6-0.0314%4 Jan →
ancient13–100.0328%4 Jan →
nuke8–8-0.0213%3 Jan →
inferno9–30.0815%3 Jan →
vertigo7–90.0718%3 Jan →
train8–13-0.0127%21 Dec →
mirage13–11-0.0223%21 Dec →
dust29–130.0120%21 Dec →
overpass13–100.0127%21 Dec →
train13–80.0229%20 Dec →
inferno7–13-0.059%20 Dec →
overpass13–70.0117%20 Dec →
ancient10–130.0229%20 Dec →
train13–11-0.0312%5 Dec →
train14–16-0.0112%5 Dec →
ancient13–50.0129%1 Dec →
overpass13–9-0.0317%1 Dec →
dust213–11-0.0323%1 Dec →
overpass11–13-0.0113%1 Dec →
ancient13–70.0226%1 Dec →
ancient13–60.0010%30 Nov →
nuke13–8-0.019%30 Nov →
ancient10–130.0114%30 Nov →
overpass3–13-0.0614%30 Nov →
overpass9–130.0019%28 Nov →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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