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sotilasmestari Jaakko Ahma

sotilasmestari Jaakko Ahma — CS2 Stats

FI76561198214978085[U:1:254712357]Steam profile ↗

1,572Tracked matches31%Win rate2020Tracked since
CSDB Rating5.5 SolidAggressive Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

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CSDB.GGsotilasmestari Jaakko AhmaFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateLLLLLLLWWW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression8.1
Utility5.8
Positioning5.8
Opening Duels4.1
Clutch5.2

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

donk

Plays most like donk 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim7.1
Positioning5.8
Utility5.8
Mechanics6.3
Opening Duels4.1
Win Impact0.0

Composite 5.5/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time607ms+29ms
first ⅓ avg 578ms → last ⅓ avg 607ms
Headshot accuracy14.6%−1.0%
first ⅓ avg 15.6% → last ⅓ avg 14.6%

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.

Highlights

0.18Best rating — mirage 6–0
13–2Biggest win — ancient
4Longest win streak
L7Current streak
5–10In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2811–1739%-0.00
dust2C167–944%-0.02
cacheB136–746%0.01
ancientS97–278%0.05
anubisC94–544%-0.00
infernoD71–614%-0.02
nukeA74–357%0.00
vertigoA53–260%0.09
train—31–233%0.03
overpass—10–10%0.03
fachwerk—10–10%-0.07
office—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

364Matches
55%Win rate
1.14Avg K/D
87.5ADR
44%Headshot %

Clutches & streaks

46%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6757%1.0516.0
Anubis3465%1.0716.3
Dust23043%0.9614.7
Ancient2752%1.0616.5
Inferno2352%0.9516.9
Nuke2152%0.8714.1
Vertigo1362%1.0016.2
Overpass771%1.2217.3

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.

14.7%Headshot accuracy
37.0%Accuracy (enemy spotted)
40.9%Spray accuracy
78.5%Counter-strafing
9.3°Preaim
603msReaction time
36.0%T opening success
57.0%CT opening success
0.66Enemies flashed / flash
5.6%Flash assists
10.75HE damage / grenade
8.05Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6877% — below the 15% mark we flag

    Aim Training →
  2. 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 36.033% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.058%29 Aug →
train11–13-0.0212%29 Aug →
ancient8–130.0211%29 Aug →
cache9–130.049%23 Aug →
inferno11–130.049%23 Aug →
cache10–130.0213%24 Jul →
mirage8–130.0027%24 Jul →
nuke13–110.0319%24 Jul →
mirage13–40.0712%23 Jul →
ancient13–40.0311%19 Jul →
cache13–90.0311%19 Jul →
anubis11–130.007%19 Jul →
nuke13–90.0525%19 Jul →
anubis12–120.0218%19 Jul →
vertigo13–110.0618%19 Jul →
cache7–130.043%19 Jul →
mirage13–40.1227%19 Jul →
dust21–11-0.0533%19 Jul →
inferno11–13-0.0321%17 Jul →
mirage9–13-0.0216%17 Jul →
dust26–13-0.0516%17 Jul →
overpass11–130.0314%17 Jul →
fachwerk2–13-0.070%17 Jul →
anubis9–13-0.0320%17 Jul →
cache4–13-0.0615%17 Jul →
vertigo13–50.1715%17 Jul →
inferno2–13-0.0021%17 Jul →
nuke4–13-0.034%17 Jul →
mirage7–13-0.0412%17 Jul →
cache13–50.0317%16 Jul →
mirage9–13-0.0611%16 Jul →
train12–120.0114%16 Jul →
cache6–13-0.0013%15 Jul →
mirage5–13-0.049%15 Jul →
anubis13–60.0613%13 Jul →
dust210–13-0.016%13 Jul →
anubis13–160.0412%13 Jul →
mirage13–10-0.0112%13 Jul →
mirage9–130.006%12 Jul →
dust211–7-0.0910%12 Jul →
train13–100.1111%12 Jul →
vertigo7–130.1120%12 Jul →
ancient13–20.1712%12 Jul →
cache13–5-0.0015%12 Jul →
mirage13–100.0210%12 Jul →
inferno6–13-0.0617%12 Jul →
anubis11–13-0.0510%12 Jul →
mirage6–00.1823%12 Jul →
dust25–13-0.0117%12 Jul →
inferno9–13-0.0116%11 Jul →
mirage12–120.0215%11 Jul →
vertigo13–110.0126%10 Jul →
mirage11–130.0515%10 Jul →
ancient13–70.088%10 Jul →
cache13–5-0.029%10 Jul →
dust27–13-0.0614%10 Jul →
nuke13–7-0.0124%10 Jul →
dust26–13-0.0118%9 Jul →
mirage13–60.027%9 Jul →
anubis13–6-0.0212%9 Jul →
mirage13–80.0323%9 Jul →
mirage5–13-0.0519%9 Jul →
mirage13–6-0.018%6 Jul →
nuke13–80.0119%6 Jul →
ancient10–130.1317%5 Jul →
ancient13–100.0913%5 Jul →
inferno13–9-0.0211%5 Jul →
nuke4–13-0.058%5 Jul →
cache13–90.0317%5 Jul →
vertigo10–130.0917%5 Jul →
mirage13–110.0516%5 Jul →
dust213–11-0.0510%5 Jul →
dust28–13-0.0612%5 Jul →
dust213–100.0623%4 Jul →
cache13–20.019%4 Jul →
mirage7–13-0.0824%4 Jul →
mirage13–7-0.0414%4 Jul →
office11–13-0.0419%3 Jul →
dust23–13-0.0314%3 Jul →
mirage12–12-0.0016%3 Jul →
nuke9–130.0315%3 Jul →
dust213–10-0.0215%3 Jul →
mirage3–130.0112%3 Jul →
ancient13–3-0.0226%3 Jul →
inferno5–13-0.0414%3 Jul →
cache12–120.0516%3 Jul →
mirage14–16-0.0417%3 Jul →
mirage4–13-0.0517%3 Jul →
anubis13–8-0.0312%2 Jul →
cache7–13-0.0423%2 Jul →
dust213–80.0519%2 Jul →
mirage4–11-0.063%2 Jul →
ancient13–7-0.0419%2 Jul →
anubis13–3-0.028%2 Jul →
mirage9–13-0.0313%29 Jun →
dust213–9-0.0119%29 Jun →
dust213–30.0521%29 Jun →
ancient13–70.0113%29 Jun →
mirage13–7-0.0023%29 Jun →
dust211–130.019%29 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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