Tikki

Tikki — CS2 Stats

FI76561197991505411[U:1:31239683]Steam profile ↗VAC banned

2,284Tracked matches50%Win rate2021Tracked since
1,997Hours in CS
CSDB Rating6.4 SolidPositional Player
FaceitLevel 8 · 1,558 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (66 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,558 → 1,558
+216Tracked matches · now 2,284
−6.7ppWin rate · 56.7% → 50.0%

Rating over time

Premier CS Rating: 15,534 +321 26 Jun – 1 Jul · 4 days played
15,00015,641peak 15,64126 Jun1 Jul
15,641Peak Premier in tracked matches
1,558Highest Faceit ELO seen on CSDB
58Days played since 2026-06-26

Faceit ELO

  • At peak — 1,558
  • Next: Level 9 at 1,751 — 193 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-31
  • Level 7 first seen 2026-08-31

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.5%46.8%48.2%4.7% short
Shot accuracy6.8%13.0%13.2%6.4% short
Kill/death ratio1.231.061.07above
Match win rate49.3%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTikkiFACEITLevel 8 · 1,558 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,558csdb.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

Aim81
Positioning69
Utility56

0–100 skill scores via Leetify.

Recent form

HOT43–54–3Last 10043%Win rateWWLWWWLLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −5.7pp headshot accuracy · −77ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 544ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 550ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 589ms

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 (+1.4 against its own average).

Aim8.1
Utility5.6
Positioning6.9
Opening Duels5.8
Clutch3.6

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

m0NESY

Plays most like m0NESY 92% playstyle similarity

Most alike: opening-duel success, 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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 559ms 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

Aim8.1
Positioning6.9
Utility5.6
Mechanics6.1
Opening Duels6.8
Win Impact5.0

Composite 6.4/10 (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 0.03 → last ⅓ avg 0.02
Reaction time582ms−72ms
first ⅓ avg 654ms → last ⅓ avg 582ms
Headshot accuracy19.0%−1.2%
first ⅓ avg 20.3% → last ⅓ avg 19.0%

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

0.25Best match rating · 9–2 · nuke, 15 Jul →
45%Best headshot accuracy · 10–13 · inferno, 27 Jun →
406msFastest reaction time · 13–1 · mirage, 1 Aug →
13–0Biggest win · inferno, 3 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
7–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 61% over 23ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2314–961%0.03
mirageC219–1243%0.01
nukeC198–1142%0.02
dust2B189–950%0.01
ancientD72–529%-0.01
cache—41–325%0.03
vertigo—20–20%-0.02
debris—20–20%0.02
anubis—10–10%0.02
italy—10–10%0.02
poseidon—10–10%-0.00
overpass—10–10%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,250Lifetime kills
1.23K/D · Top 25% of Level 8 players
4,432Matches
49.3%Match win rate · Top 25% of Level 8 players
43.5%Headshot %
6.8%Shot accuracy
13,003MVPs
1,997Hours (in match)
4,608Bombs planted
1,519Bombs defused

Most-used weapons

AK-4732,682
AWP24,916
Knife3,201
MAC-102,637
SSG 082,497

Lifetime map wins

10,833dust2
9,994inferno
8,052nuke
1,967vertigo
438train
277office
41cbble
28ar_shoots

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

Faceit stats

Combat

2,201Matches
48%Win rate
1.32Avg K/D
87.3ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage54545%1.2817.7
Dust242946%1.2917.8
Inferno40650%1.4018.5
Nuke38053%1.4519.3
Ancient17150%1.1616.9
Anubis14543%1.2717.4
Vertigo5044%1.3518.6
Train2832%1.1016.1

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.

18.5%Headshot accuracy
38.0%Accuracy (enemy spotted)
46.4%Spray accuracy
77.5%Counter-strafing
10.1°Preaim
559msReaction time
54.3%T opening success
60.1%CT opening success
0.55Enemies flashed / flash
7.0%Flash assists
6.76HE damage / grenade
7.41Flashes / match

Recommended for you

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–00.1020%3 Nov →
dust213–90.1018%3 Nov →
anubis10–130.0222%2 Nov →
inferno13–9-0.0217%31 Oct →
inferno13–70.0216%31 Oct →
nuke13–70.039%31 Oct →
nuke16–19-0.0217%24 Oct →
mirage12–160.0424%23 Oct →
nuke9–50.1023%22 Oct →
dust216–13-0.059%20 Oct →
dust213–7-0.0218%17 Oct →
nuke1–13-0.0224%16 Oct →
italy4–130.0224%16 Oct →
ancient10–130.0227%16 Oct →
cache13–100.0133%13 Oct →
dust213–80.0115%13 Oct →
inferno13–100.0617%12 Oct →
vertigo7–130.0318%11 Oct →
inferno6–130.0322%11 Oct →
inferno9–70.0133%11 Oct →
mirage13–110.039%7 Oct →
inferno10–13-0.0018%4 Oct →
nuke5–130.0333%4 Oct →
mirage10–130.0121%3 Oct →
inferno13–110.0322%30 Sept →
nuke13–70.1011%27 Sept →
dust214–160.0221%27 Sept →
dust213–60.0816%27 Sept →
inferno13–80.0410%27 Sept →
nuke8–13-0.0728%20 Sept →
nuke9–13-0.0210%20 Sept →
ancient13–16-0.0714%18 Sept →
mirage7–13-0.0210%15 Sept →
dust23–130.0118%15 Sept →
nuke17–19-0.0216%13 Sept →
ancient8–13-0.0533%9 Sept →
ancient11–13-0.0025%7 Sept →
dust28–13-0.0119%6 Sept →
vertigo3–9-0.0713%27 Aug →
nuke13–4-0.098%26 Aug →
ancient13–9-0.0231%26 Aug →
dust26–13-0.0215%26 Aug →
inferno8–80.0928%26 Aug →
dust211–13-0.0127%26 Aug →
mirage9–130.0621%25 Aug →
mirage13–20.1115%22 Aug →
nuke22–20-0.0215%22 Aug →
mirage13–10-0.0621%21 Aug →
inferno8–130.0326%21 Aug →
nuke10–13-0.0210%19 Aug →
nuke7–130.0327%19 Aug →
mirage1–130.0519%19 Aug →
mirage13–8-0.0413%17 Aug →
mirage1–13-0.0319%15 Aug →
dust28–13-0.0214%15 Aug →
mirage13–70.0029%11 Aug →
inferno8–130.0314%9 Aug →
dust25–13-0.0412%9 Aug →
dust219–150.0223%8 Aug →
ancient16–14-0.0110%7 Aug →
inferno4–9-0.0442%5 Aug →
inferno9–40.2335%5 Aug →
dust213–80.0121%3 Aug →
mirage10–13-0.0311%2 Aug →
inferno5–13-0.0919%1 Aug →
mirage13–10.0116%1 Aug →
inferno13–90.0224%31 Jul →
dust213–10-0.0112%31 Jul →
inferno13–60.0317%31 Jul →
mirage13–3-0.0012%31 Jul →
mirage16–14-0.027%28 Jul →
nuke13–10-0.0515%28 Jul →
inferno13–100.0123%25 Jul →
inferno13–70.0218%22 Jul →
cache6–130.029%18 Jul →
mirage3–13-0.0825%18 Jul →
poseidon8–8-0.0027%17 Jul →
nuke8–130.0119%16 Jul →
dust210–130.0518%16 Jul →
nuke9–20.2518%15 Jul →
nuke13–50.1615%13 Jul →
debris4–9-0.0720%13 Jul →
dust27–13-0.0424%12 Jul →
nuke6–90.0716%11 Jul →
debris8–80.1024%11 Jul →
cache2–130.0821%8 Jul →
mirage6–13-0.0626%8 Jul →
mirage9–130.0812%7 Jul →
cache9–130.0016%7 Jul →
overpass6–130.0423%1 Jul →
ancient4–130.0414%30 Jun →
inferno13–100.0517%29 Jun →
mirage13–160.0310%29 Jun →
mirage13–30.0823%29 Jun →
inferno7–130.0324%27 Jun →
inferno10–13-0.0145%27 Jun →
nuke8–130.0138%27 Jun →
inferno13–11-0.0323%26 Jun →
dust213–40.1533%26 Jun →
mirage8–130.0424%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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