Ajokoira

Ajokoira — CS2 Stats

JM76561198142785492[U:1:182519764]Steam profile ↗✓ No bans

317Tracked matches57%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim70
Positioning53
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY51–37–12Last 10051%Win rateLWWWWTLLLT

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +3.4pp headshot accuracy · +14ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 17%
  • Avg reaction 483ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 530ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 523ms

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 (+0.9 against its own average).

Aim7.0
Utility4.3
Positioning5.3
Opening Duels3.5

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 95% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 56% on T to 41% 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

Aim7.0
Positioning5.3
Utility4.3
Mechanics5.1
Opening Duels4.6
Win Impact7.4

Composite 5.8/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time532ms−21ms
first ⅓ avg 553ms → last ⅓ avg 532ms
Headshot accuracy17.8%−1.1%
first ⅓ avg 18.9% → last ⅓ avg 17.8%

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

0.18Best match rating · 9–13 · mirage, 2 Nov →
50%Best headshot accuracy · 0–3 · mirage, 31 Oct →
352msFastest reaction time · 0–3 · mirage, 31 Oct →
13–1Biggest win · dust2, 4 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds

Map breakdown

trainBest map · 71% over 14ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%0.02
mirageB178–947%0.02
vertigoC167–944%0.03
trainS1410–471%0.02
infernoB137–654%0.01
ancientC52–340%0.04
nukeC52–340%-0.01
anubis—32–167%-0.01
overpass—21–150%-0.00
office—22–0100%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.1%Headshot accuracy
36.6%Accuracy (enemy spotted)
31.3%Spray accuracy
72.9%Counter-strafing
9.1°Preaim
524msReaction time
56.0%T opening success
40.8%CT opening success
0.55Enemies flashed / flash
5.5%Flash assists
5.41HE damage / grenade
8.27Flashes / 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo10–130.0919%4 Nov →
train13–4-0.0127%4 Nov →
mirage13–40.148%4 Nov →
inferno12–90.0114%4 Nov →
dust213–10.1519%4 Nov →
train12–12-0.107%3 Nov →
vertigo8–13-0.0540%3 Nov →
mirage8–13-0.0522%3 Nov →
inferno4–13-0.0421%3 Nov →
ancient12–120.1013%3 Nov →
dust213–110.0521%3 Nov →
dust211–13-0.009%2 Nov →
mirage9–130.1810%2 Nov →
vertigo10–130.0917%2 Nov →
dust213–110.0213%2 Nov →
nuke13–9-0.0530%1 Nov →
vertigo9–13-0.0119%1 Nov →
overpass13–1-0.025%1 Nov →
office13–50.0626%1 Nov →
dust23–13-0.075%1 Nov →
ancient13–60.0513%1 Nov →
mirage5–13-0.0817%1 Nov →
train12–20.126%1 Nov →
vertigo13–60.0522%1 Nov →
inferno13–10-0.026%1 Nov →
train13–110.0932%1 Nov →
dust213–5-0.0224%1 Nov →
anubis13–80.0416%1 Nov →
dust210–13-0.018%31 Oct →
mirage0–3-0.0050%31 Oct →
inferno12–120.0117%31 Oct →
office7–00.1418%31 Oct →
dust213–20.0216%31 Oct →
ancient7–130.0012%31 Oct →
mirage9–13-0.0014%31 Oct →
mirage7–13-0.0117%29 Oct →
inferno11–130.0215%29 Oct →
vertigo12–120.0820%29 Oct →
dust213–20.0816%29 Oct →
train12–120.0217%29 Oct →
ancient6–13-0.0212%28 Oct →
vertigo10–13-0.0216%28 Oct →
mirage13–8-0.0135%28 Oct →
inferno10–13-0.0419%28 Oct →
train13–90.0623%28 Oct →
dust211–13-0.0014%28 Oct →
overpass12–120.0121%27 Oct →
mirage13–40.0914%27 Oct →
dust213–50.0512%27 Oct →
inferno11–13-0.0121%27 Oct →
vertigo13–11-0.0614%27 Oct →
dust22–13-0.0022%27 Oct →
vertigo13–11-0.0421%27 Oct →
dust213–70.0512%27 Oct →
train13–100.0819%27 Oct →
dust26–130.0424%26 Oct →
mirage13–100.0223%26 Oct →
nuke8–13-0.0617%26 Oct →
dust210–13-0.0624%25 Oct →
train13–11-0.029%25 Oct →
inferno13–100.0916%25 Oct →
mirage13–60.0122%24 Oct →
vertigo13–90.0717%24 Oct →
ancient6–20.048%24 Oct →
inferno13–50.0315%24 Oct →
dust28–130.0135%24 Oct →
mirage13–110.0011%24 Oct →
train12–120.0013%24 Oct →
train5–130.0235%23 Oct →
vertigo13–70.0927%23 Oct →
nuke6–130.0814%23 Oct →
dust212–12-0.0014%23 Oct →
mirage8–13-0.0126%23 Oct →
inferno13–30.1016%23 Oct →
vertigo6–130.0928%18 Oct →
dust212–120.0614%18 Oct →
dust21–13-0.0419%17 Oct →
vertigo7–130.0626%17 Oct →
mirage12–12-0.0211%17 Oct →
dust213–50.0724%17 Oct →
train13–50.0212%17 Oct →
inferno9–130.0114%16 Oct →
vertigo13–8-0.0114%16 Oct →
nuke13–60.0013%16 Oct →
mirage13–10.0719%16 Oct →
dust213–70.0319%16 Oct →
nuke12–12-0.0410%15 Oct →
inferno13–10-0.0513%15 Oct →
train13–20.0022%15 Oct →
mirage13–7-0.0216%15 Oct →
dust211–130.0721%15 Oct →
vertigo12–120.069%15 Oct →
anubis4–13-0.0529%10 Oct →
inferno13–4-0.0417%10 Oct →
dust25–130.0825%10 Oct →
train13–90.0722%10 Oct →
train13–9-0.0425%10 Oct →
mirage3–13-0.0517%10 Oct →
anubis13–8-0.0412%10 Oct →
vertigo13–20.0629%10 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.