tikow

tikow — CS2 Stats

HU76561199134357041[U:1:1174091313]Steam profile ↗✓ No bans

1,543Tracked matches31%Win rate2022Tracked since
1,991Hours in CS8Hrs last 2 wks
CSDB Rating2.8 LearningAll-Rounder
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 7 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,000 +1 30 Jul15 Sept · 13 days played
9,99911,543peak 11,54330 Jul15 Sept
11,543Peak Premier in tracked matches
908Highest Faceit ELO seen on CSDB
39Days played since 2026-07-07

Faceit ELO

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

Premier CS Rating

  • 1,543 below peak (11,543)
  • -431 over 30 days · declining
  • Next: Purple band at 15,000 5,000 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. 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 Blue band among CSDB-tracked players (n=18,772), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.1%41.9%44.3%above
Shot accuracy8.3%9.6%11.8%3.5% short
Kill/death ratio1.030.981.03meets
Match win rate42.7%43.8%45.2%2.6% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGtikowPREMIER10,000 · 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

Aim25
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY42544Last 10042%Win rateLWWLLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · −43ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 719ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 684ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 705ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim2.5
Utility4.4
Positioning4.4
Opening Duels2.8
Clutch4.6

Strong CT-side openerLimited 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

iM

Plays most like iM 63% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

T-side openings. Opening success drops from 51% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 689ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.5
Positioning4.4
Utility4.4
Mechanics2.5
Opening Duels2.7
Win Impact0.0

Composite 2.8/10 (Learning), 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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time696ms−29ms
first ⅓ avg 725ms → last ⅓ avg 696ms
Headshot accuracy18.7%−2.2%
first ⅓ avg 20.9% → last ⅓ avg 18.7%

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

0.17Best match rating · 13–0 · vertigo, 23 Jul
65%Best headshot accuracy · 13–0 · vertigo, 23 Jul
523msFastest reaction time · 13–10 · dust2, 20 Aug
13–0Biggest win · inferno, 1 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
56In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 57% over 7cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D34112332%-0.02
infernoB179853%0.02
mirageB157847%-0.00
ancientA74357%0.02
poseidonD62433%0.01
cacheD51420%-0.00
anubisD51420%0.01
nuke42250%-0.02
vertigo43175%0.05
office21150%-0.09
overpass110100%-0.02

Across the last 100 tracked matches.

Lifetime stats

45,861Lifetime kills
1.03K/D · Top 50% of Blue band
2,681Matches
42.7%Match win rate
48.1%Headshot % · Top 25% of Blue band
8.3%Shot accuracy
7,284MVPs
884Hours (in match)
2,605Bombs planted
546Bombs defused

Most-used weapons

Lifetime map wins

5,985dust2
3,461inferno
885vertigo
605nuke
267cbble
252office
164train
100aztec

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

Faceit stats

Combat

183Matches
51%Win rate
0.95Avg K/D
73.3ADR
43%Headshot %

Clutches & streaks

43%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust26151%1.1114.3
Inferno4464%0.8913.6
Ancient3352%0.9516.1
Mirage1631%0.8514.2
Anubis1145%0.7414.6
Nuke743%0.7912.7
Overpass425%0.7012.8
Cache333%0.6913.3

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.

19.1%Headshot accuracy
27.0%Accuracy (enemy spotted)
29.4%Spray accuracy
61.1%Counter-strafing
11.6°Preaim
689msReaction time
22.4%T opening success
51.3%CT opening success
0.59Enemies flashed / flash
10.7%Flash assists
8.20HE damage / grenade
4.41Flashes / 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 22.3594% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0619%15 Sept
ancient13–9-0.0412%15 Sept
dust213–30.0226%11 Sept
mirage7–130.0219%10 Sept
mirage6–130.0224%4 Sept
inferno13–30.1332%3 Sept
dust26–13-0.0914%2 Sept
poseidon9–60.059%1 Sept
cache11–130.1127%1 Sept
mirage8–13-0.0016%1 Sept
inferno13–00.1220%1 Sept
inferno9–13-0.0123%1 Sept
ancient13–6-0.0221%1 Sept
ancient6–130.0615%1 Sept
inferno13–7-0.0225%28 Aug
dust212–12-0.0521%27 Aug
dust212–16-0.0615%26 Aug
inferno11–13-0.0018%26 Aug
dust27–13-0.1013%25 Aug
dust213–9-0.0120%25 Aug
inferno9–13-0.0830%25 Aug
anubis8–130.0118%24 Aug
inferno2–13-0.0618%23 Aug
inferno11–130.0617%23 Aug
mirage5–13-0.0511%22 Aug
dust23–13-0.0110%22 Aug
dust213–11-0.0511%21 Aug
dust213–11-0.0726%21 Aug
mirage6–130.0122%21 Aug
dust210–130.0718%21 Aug
dust25–13-0.0112%21 Aug
dust213–70.0112%21 Aug
dust215–15-0.0022%20 Aug
dust213–10-0.0113%20 Aug
mirage13–110.0515%20 Aug
dust26–130.1123%20 Aug
nuke8–13-0.0515%16 Aug
inferno13–100.0621%12 Aug
dust24–13-0.0222%11 Aug
poseidon7–9-0.1027%9 Aug
mirage13–1-0.0321%31 Jul
mirage13–30.0313%31 Jul
dust213–9-0.0222%30 Jul
nuke13–100.0218%30 Jul
anubis10–130.0220%30 Jul
nuke11–13-0.049%29 Jul
dust216–14-0.0123%29 Jul
poseidon4–90.0139%28 Jul
dust29–13-0.0626%25 Jul
ancient13–100.0324%25 Jul
mirage13–90.0325%25 Jul
vertigo13–00.1765%23 Jul
anubis8–130.0116%22 Jul
mirage10–13-0.0413%22 Jul
dust28–13-0.0319%22 Jul
dust28–13-0.0514%21 Jul
dust27–13-0.0810%21 Jul
inferno6–130.0524%20 Jul
vertigo3–130.0022%20 Jul
mirage9–130.0125%20 Jul
dust212–120.0433%17 Jul
office13–3-0.0424%17 Jul
ancient13–60.1318%17 Jul
inferno3–130.0329%17 Jul
dust212–120.0114%17 Jul
inferno13–100.0429%17 Jul
dust213–7-0.0118%17 Jul
dust20–13-0.0618%16 Jul
cache7–13-0.0323%16 Jul
dust212–16-0.0329%16 Jul
poseidon6–90.0421%15 Jul
poseidon9–40.1628%15 Jul
dust29–130.1624%15 Jul
mirage13–7-0.0340%15 Jul
inferno13–60.1322%14 Jul
inferno13–90.0328%14 Jul
ancient8–13-0.0121%14 Jul
anubis11–13-0.0310%13 Jul
dust213–10-0.0419%13 Jul
inferno9–13-0.0815%13 Jul
dust213–7-0.0611%11 Jul
cache6–13-0.0313%11 Jul
dust210–13-0.0114%11 Jul
inferno13–60.0524%10 Jul
cache10–13-0.0222%9 Jul
dust210–13-0.0414%9 Jul
overpass13–5-0.0222%8 Jul
mirage8–13-0.0326%8 Jul
mirage13–11-0.0521%8 Jul
mirage13–50.0316%8 Jul
anubis13–10.0719%8 Jul
inferno13–2-0.0145%8 Jul
dust21–130.0028%8 Jul
poseidon1–9-0.0819%8 Jul
vertigo13–50.0825%8 Jul
office1–13-0.1413%8 Jul
vertigo13–10-0.048%7 Jul
nuke9–1-0.010%7 Jul
ancient5–13-0.0127%7 Jul
cache13–8-0.0424%7 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 →